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Vanguard Frontier Agentic

Vanguard Frontier Agentic

The vanguard frontier of the agentic world — an enterprise-grade ecosystem for AI agents at scale.

Agentic coordination, routing, protocol, and escalation for high-stakes environments. Battle-hardened. Audit-ready by design.

npm version License: Apache-2.0 CodeQL Install Paths Smoke OpenSSF Scorecard OpenSSF Best Practices OpenSSF Baseline Docs Quality npm provenance PRs welcome

Why Vanguard Frontier  ·  What's Inside  ·  Get Started  ·  Install Reference  ·  Skills  ·  Agents  ·  Issues  ·  FAQ  ·  Feedback  ·  Contributing  ·  Security  ·  Code of Conduct


This is the edge of agentic intelligence — an enterprise-grade ecosystem for running AI agents at scale in environments where a wrong move is a board-level incident. It collects reusable skills, agents, rules, MCP references, and supporting assets for AWS, Azure, OCI, GCP, Alibaba Cloud, Huawei Cloud, Kubernetes, and Terraform — plus cross-functional Legal, HR, Marketing, Salesforce, .NET, Java, Kotlin, PHP, Python, TypeScript, FinOps, Accounting, Finance, Oracle NetSuite ERP, SAP S/4HANA + BTP ERP, Microsoft 365 / Dynamics 365, and Azure-ecosystem Databricks and Snowflake data-platform agentic ecosystems.

This is not just cloud infrastructure tooling. It is agentic coordination: maestro routing, escalation-aware protocol, structured handoff between specialists, and refusal-by-default safety on every irreversible action. Cloud is one domain it operates in. Coordination, governance, and escalation are the product.

📊 Catalog at a glance

Catalog Count
Skills 703
Agents 680
Providers 45
Install roles 60
Rules 1
MCP references 3
  • 🧠 Skills = step-by-step workflows an AI assistant can follow.
  • 🤖 Agents = reusable expert roles for review, architecture, and operations.
  • 📏 Rules = durable instructions for a specific AI harness.
  • 🔌 MCP references = trusted notes for connecting tools to real systems.
  • 🗂️ Catalogs = machine-readable indexes so tools can discover everything.

Works with: Claude Code  ·  Codex  ·  GitHub Copilot  ·  Cursor  ·  Gemini CLI  ·  Kiro  ·  and any other coding agent.

📦 Available on npm: @raishin/vanguard-frontier-agentic is published on the public npm registry.

Important

🔁 The GitHub owner changed — the npm package name did not. Both are true at once: this repository moved from Raishin/vanguard-frontier-agentic to VincentChuWaiChow/vanguard-frontier-agentic when the account was renamed, but the npm scope did not move with it.

What changed What did NOT change
GitHub owner → VincentChuWaiChow npm package name → still @raishin/vanguard-frontier-agentic

GitHub redirects the old URLs, so existing clones and links keep working, but update your git remote and any pinned marketplace source when convenient.

The npm package is still @raishin/vanguard-frontier-agenticnpm install @raishin/vanguard-frontier-agentic@latest is unchanged, and no republish under a new name is planned. An npm scope is a separate namespace from a GitHub account: renaming the account does not rename the scope, and renaming the scope would break every existing install. Treat @raishin/… in install commands, .npmrc registry config, and packed tarball names as correct, not as a leftover.

⚠️ ALPHA FINOPS BUNDLE: As of v1.8.0, this package includes 4 new experimental FinOps agents and 7 skills for cloud cost optimization, AI economics modeling, Kubernetes rightsizing, and FOCUS-spec normalization. All are marked lifecycle: experimental. See the board readiness memo for known limitations, risk mitigation, and 30-day diligence closure requirements. Use at your own risk in pre-production environments. Production deployment requires signed design-partner SOWs, Big 4 accounting validation, and SOC 2 Type II observation (≥150 days).


🛰️ Why Vanguard Frontier?

"Vanguard frontier" is not branding — it is an operating posture. This ecosystem is built for the front line of agentic deployment, where AI agents touch real production systems, real regulated data, and real legal exposure.

  • 🏛️ Built for Fortune 50 / high-stakes environments. Every agent assumes the blast radius is enterprise-scale: regulated data, audited controls, and decisions that survive legal discovery. Refusal-by-default beats a fast path to a board-level incident.
  • ⚖️ The Legal + HR ecosystem is proof of cross-functional agentic coordination. 28 specialist agents (Legal maestro + 12 specialists, HR maestro + 14 specialists) and 3 cross-functional protocol skills demonstrate that agents can hand off, escalate, and coordinate across organizational boundaries — not just answer in isolation.
  • 🧾 Audit-ready, privacy-preserving, escalation-aware by design. Every review and live-guard agent emits a structured verdict (verdict, evidence_level, blockers, safe_next_actions, open_questions) that maps directly to SOC 2, PCI DSS, NIS2, NIST CSF, and ISO 27001 — no post-processing.
  • 🛡️ Battle-tested against real compliance, governance, and risk workflows. These patterns are exercised against live IAM mutations, KMS destruction, litigation holds, RIF planning, and privacy reviews — the workflows where a generic agent gets an organization sued.

The bar: an auditor, a regulator, or opposing counsel should be able to read the agent's output and trace exactly who decided what, on what evidence, and who approved the risk.


🧱 What's Inside — the three-layer agentic architecture

Vanguard Frontier is not a flat bag of prompts. It is a deliberate three-layer system, and every domain — cloud providers, Kubernetes, marketing, Legal, HR — follows the same shape.

Layer Role Examples
1. 🧭 Maestro (router) Entry point. Classifies the request, routes to the right specialist, never executes risk itself. legal-maestro-agent, hr-maestro-agent, kubernetes-maestro-agent, provider maestros
2. 🤖 Specialists Domain experts with judgment and a hardened permission model. Each loads one companion skill and emits a guarded verdict. 13 Legal specialists, 15 HR specialists, cloud advisory + live-guard operators
3. 🔗 Cross-functional protocol Shared contracts that let specialists hand off, escalate, and coordinate across organizational boundaries without leaking scope. legal-hr-routing-protocol, legal-hr-case-capsule, legal-hr-risk-taxonomy

How it flows: a request enters at the maestro, which routes to a specialist. When a matter crosses a boundary — an HR investigation that needs privileged Legal review, or a Legal hold that triggers an HR data freeze — the cross-functional protocol carries a structured case capsule between agents, preserving privilege, minimizing data, and recording the escalation path.

This is what "agentic coordination" means here: routing, protocol, and escalation are first-class, not improvised.


🚀 Get Started

Pick the install path for your coding agent. Each dropdown is crystal-clear, step-by-step, and one-click plug-and-play where the harness supports it; the npm/export path works for everything else.

At a glance — which path is yours:

Your harness Fastest path One-liner
🤖 Claude Code Plugin marketplace /plugin marketplace add VincentChuWaiChow/vanguard-frontier-agentic
🐙 GitHub Copilot CLI Plugin marketplace copilot plugin marketplace add VincentChuWaiChow/vanguard-frontier-agentic
🖱️ Cursor Clone + register plugin dir git clone … then Settings → Plugins → Add Plugin Directory
⚡ Codex Plugin marketplace codex plugin marketplace add VincentChuWaiChow/vanguard-frontier-agentic
♊ Gemini / Antigravity npm export npx vfa-export-agents --platform gemini --all --repo .
🔮 Kiro Add Powers per-directory Powers panel → Add Custom Power → Local Directory
📦 Any other npm + vfa-export-agents CLI npm install @raishin/vanguard-frontier-agentic@latest

Expand the matching dropdown below for the full step-by-step.

🤖 Claude Code (Anthropic)  —  one-command plugin install
/plugin marketplace add VincentChuWaiChow/vanguard-frontier-agentic
/plugin install vanguard-frontier-agentic@vanguard-frontier-agentic

Or wire it into ~/.claude/settings.json (or your project's .claude/settings.json) for team-wide trust:

{
  "extraKnownMarketplaces": {
    "vanguard-frontier-agentic": {
      "source": { "source": "github", "repo": "VincentChuWaiChow/vanguard-frontier-agentic" }
    }
  },
  "enabledPlugins": {
    "vanguard-frontier-agentic@vanguard-frontier-agentic": true
  }
}

Pin to a tag for reproducible installs: pick any released tag for stable versions, or use @latest for the current release.

🐙 GitHub Copilot CLI  —  one-command marketplace install
# Add the marketplace, then install
copilot plugin marketplace add VincentChuWaiChow/vanguard-frontier-agentic
/plugin install vanguard-frontier-agentic

Or in .github/copilot/settings.json for repo-wide trust:

{
  "extraKnownMarketplaces": [
    "https://raw.githubusercontent.com/VincentChuWaiChow/vanguard-frontier-agentic/master/.github/plugin/marketplace.json"
  ]
}
  • Marketplace manifest: .github/plugin/marketplace.json declares this repo as a single-plugin marketplace
  • Source path: ./ (the repo root is the plugin root)
  • Bundled: 680 Copilot agent adapters under agents/<provider>/<agent>/harnesses/copilot.agent.md
  • Docs: github.com/github/copilot-cli (/plugin marketplace add)
🖱️ Cursor  —  plugin manifest at repo root
# Clone the repo, then register it as a plugin directory in Cursor:
git clone https://github.com/VincentChuWaiChow/vanguard-frontier-agentic

In Cursor: Settings → Plugins → Add Plugin Directory → pick the cloned repo path. Or via the Cursor Extension API:

vscode.cursor.plugins.registerPath("/absolute/path/to/vanguard-frontier-agentic");
🔮 Kiro (Powers + agents)  —  45 ready-to-add Powers

Kiro Powers UI is per-Power directory add — there is no single-command marketplace flow. This repo ships 45 Powers under powers/, one per provider, so Kiro users can add only what they need.

# 1. Clone this repo
git clone https://github.com/VincentChuWaiChow/vanguard-frontier-agentic
cd vanguard-frontier-agentic

# 2. In Kiro:
#    Open the Powers panel → "Add Custom Power" → "Local Directory"
#    Paste the absolute path to the Power(s) you need, one at a time:
#       /absolute/path/to/vanguard-frontier-agentic/powers/vanguard-aws
#       /absolute/path/to/vanguard-frontier-agentic/powers/vanguard-kubernetes
#       /absolute/path/to/vanguard-frontier-agentic/powers/vanguard-terraform
  • Powers available: vanguard-accounting, vanguard-alibaba, vanguard-argocd, vanguard-aws, vanguard-azure, vanguard-backstage, vanguard-cert-manager, vanguard-cilium, vanguard-contabo, vanguard-databricks, vanguard-dotnet, vanguard-falco, vanguard-finance, vanguard-fluxcd, vanguard-frontend, vanguard-gcp, vanguard-generic, vanguard-hetzner, vanguard-hr, vanguard-huawei, vanguard-ionos, vanguard-istio, vanguard-java, vanguard-kotlin, vanguard-kubernetes, vanguard-kyverno, vanguard-legal, vanguard-marketing, vanguard-microsoft, vanguard-multi-cloud, vanguard-netsuite, vanguard-nvidia, vanguard-oci, vanguard-opentelemetry, vanguard-ovhcloud, vanguard-php, vanguard-prometheus, vanguard-python, vanguard-salesforce, vanguard-sap, vanguard-scaleway, vanguard-sigstore, vanguard-snowflake, vanguard-terraform, vanguard-typescript
  • Each Power ships: routing pattern (maestro entry), live-mutation discipline, provider invariants (account-ID/region, MLPS 2.0, EU sovereignty, etc.)
  • Frontmatter: strict-5 fields (name, displayName, description, keywords, author) per Kiro spec
  • For Kiro agent adapter files (.kiro/agents/*.md, .kiro/agents/*.json): use the npm-export path below
  • Docs: github.com/kirodotdev/powers
♊ Gemini CLI & Google Antigravity  —  skills framework via npm export

Antigravity reads skills from .agent/skills/<name>/SKILL.md (workspace) or ~/.gemini/antigravity/skills/<name>/ (global). There is no first-party marketplace install command — use the npm export to write skills + adapters into the right paths:

# Install the package
npm install @raishin/vanguard-frontier-agentic@latest

# Export agents + companion skills for Gemini Antigravity
npx vfa-export-agents --platform gemini --all --repo .

Or for a single provider:

npx vfa-export-agents --platform gemini --provider aws --repo .
⚡ Codex (OpenAI)  —  one-command marketplace install
# Add the marketplace, then enable the bundled plugin
codex plugin marketplace add VincentChuWaiChow/vanguard-frontier-agentic
/plugin install vanguard-frontier-agentic@vanguard-frontier-agentic

codex plugin marketplace add writes the marketplace into your ~/.codex/config.toml. The resulting block looks like this (the screenshot pattern):

[marketplaces.vanguard-frontier-agentic]
last_updated = "2026-05-11T06:46:00Z"
last_revision = "<sha>"
source_type = "git"
source = "https://github.com/VincentChuWaiChow/vanguard-frontier-agentic.git"

[plugins."vanguard-frontier-agentic@vanguard-frontier-agentic"]
enabled = true
📦 Any other harness  —  npm package + vfa-export-agents CLI

Prerequisite: Node.js 18+

# 1️⃣ Install the package
npm install @raishin/vanguard-frontier-agentic@latest

# 2️⃣ Export agents for your role into your repo (claude-code shown — swap platform)
npx vfa-export-agents --platform claude-code --role cloud-security-engineer --repo .

# 3️⃣ Open your coding agent and reference the exported agent
#    "Use kubernetes-rbac-review-agent to audit this RBAC change."

Supports --platform: claude-code, codex, copilot, cursor, gemini, kiro, kiro-ide, kiro-cli. Supports --role, --agents, --all, --provider filters. See the Install Reference for the full argument matrix.


Install paths

There are now eight supported install paths — Claude Code plugin marketplace, GitHub Copilot CLI marketplace, Cursor plugin, Codex plugin marketplace, Kiro Powers, Gemini Antigravity skills, npm package + vfa-export-agents CLI, and the third-party skills CLI — each with different versioning, trust, and scope characteristics. See docs/integrations/skills-cli.md for the full trust matrix, verified flag syntax, pinning guidance, and pre-install inspection steps.

npm install @raishin/vanguard-frontier-agentic@latest

🖥️ Terminal UI (vfa-tui)

⚠️ Alpha — the TUI is functional but under active development.

Crates.io

An enterprise-grade terminal interface for interactive catalog browsing, validation gate execution, and export command building — built in Rust for speed and security by construction. Distributed as the vfa-tui crate.

Install (recommended — from crates.io):

cargo install vfa-tui

Or download a prebuilt binary (Linux / macOS / Windows, x86-64 + arm64) — each release attaches the binaries alongside their SBOM and checksums.sha256 — from the latest vfa-tui release.

Build from source (alternative):

cd tools/vfa-tui && cargo build --release

Run (from the repo root — auto-detects workspace):

vfa-tui                                      # installed via cargo or prebuilt binary
./tools/vfa-tui/target/release/vfa-tui       # from a source build

Key features:

  • 🗂️ Catalog browsing with fuzzy search across all agents, skills, and providers
  • ✅ Validation gate execution with real-time progress and structured output
  • 📦 Export command builder with platform/role/provider selection
  • 🔐 Security by construction — no shell injection, no credential handling, no network access

Full documentation


🧠 Skills

703 skills across AWS, Azure, OCI, GCP, Alibaba Cloud, Huawei Cloud, Kubernetes, CNCF ecosystem, Terraform, marketing governance, and more.

Domain Count What they cover
🟧 AWS 47 IAM, EKS, ECS, Lambda, RDS, S3, Cost, DevOps, Bedrock, Security, WAF reviews, Live Guards
🟥 OCI 41 ADB, OKE, IAM, Vault, Resource Manager, Cost, Networking, WAF reviews, Live Guards
🟩 GCP 51 GKE, BigQuery, Vertex AI, Cloud Run, AlloyDB, Firebase, Gemini API, WAF reviews, Live Guards
🟦 Azure 36 AKS, App Service, ARM/Bicep, Key Vault, PIM, Cost, Entra ID, CosmosDB, WAF reviews, Live Guards
🟠 Alibaba Cloud 43 ACK, ECS, PolarDB, MaxCompute, RAM, OSS, MLPS 2.0, WAF reviews, Live Guards
🔴 Huawei Cloud 43 CCE, GaussDB, ModelArts, DEW, SecMaster, OBS, MLPS 2.0, WAF reviews, Live Guards
☸️ Kubernetes 10 RBAC review, workload identity, PSA, live RBAC/admission/mesh/network/ArgoCD guards, maestro
🛡️ Kyverno 1 ClusterPolicy/Policy, PolicyException, failureAction, background scan
🔄 Argo CD 2 AppProject blast-radius, sync impersonation, RollingSync, sync-window
🕸️ Istio 1 Ambient mesh, ztunnel L4 vs waypoint L7, PeerAuthentication, mTLS posture
🐝 Cilium 1 CiliumNetworkPolicy, ClusterMesh trust, 169.254.169.254 egress, WireGuard encryption
📡 OpenTelemetry 1 Collector pipeline, memory_limiter, receiver exposure, exporter cardinality, credential handling
🟩 Terraform 1 IaC review and plan safety
📣 Marketing 14 Consent, pixel-leakage, martech access, GPC, email auth, ads.txt, targeting fairness, EU AI Act, audience uploads, list retention, influencer, dark patterns, analytics, maestro
☁️ Salesforce 25 Org assessment, metadata review, permissions audit, Flow automation, Apex/LWC code review, release readiness, integration, marketing consent, Agentforce risk review, zero-trust maturity, DevSecOps pipeline, SOQL generation, Apex generation and test generation, operational T1/T2 runtime skills
Ⓜ️ Microsoft 365 / D365 38 Maestro routing (microsoft/m365/d365/Power Platform/Copilot), Entra Zero Trust & Conditional Access, Microsoft 365 Copilot readiness, Purview data security & compliance, Defender XDR SecOps, Intune endpoints, Teams collaboration, Exchange/SharePoint information governance, tenant governance, backup/BCDR & data resilience, licensing/EA optimization, Dataverse/DLP security, Power Platform ALM, Power Automate risk review, Copilot Studio governance, Fabric/Power BI governance, Fabric data engineering, Fabric analytics engineering, D365 Success by Design, SoD, data migration/cutover, finance close-to-report, supply chain, field service, customer service, sales ops, Customer Insights – Journeys, F&O developer/extensions, dual-write integration, Project Operations, Commerce, value realization, live-guard identity posture + Dataverse security role (read-only-runtime, Phase A), live-guard Dataverse record field update + sensitivity label apply (mutating-runtime, Phase B)
🧱 Databricks (Azure) 3 Azure Databricks Unity Catalog governance (least-privilege grants, admin separation) + lakehouse engineering (medallion, managed-identity storage, cluster policies) — static review; + Unity Catalog schema-scoped grant guard (mutating-runtime live-guard, Phase B)
❄️ Snowflake (Azure) 3 Snowflake-on-Azure RBAC governance (SoD, ACCOUNTADMIN restriction, network policies) + data-platform engineering (Private Link, masking/row-access governance) — static review; + RBAC grant guard (mutating-runtime live-guard, Phase B)

🛡️ Live Guard skills — stop before you break prod

Live-guard skills enforce approval gates and rollback posture for irreversible operations:

🟧 AWS (5):

  • aws-live-deployment-guarded-operator — approval-gated generic live deployment actions with account/region confirmation
  • aws-live-iac-change-guard — CloudFormation/SAM/CDK/Terraform change set + drift + rollback posture enforcement
  • aws-live-pipeline-approval-operator — CodePipeline approval gating with exact stage and approver scope
  • aws-live-serverless-release-guard — Lambda alias/canary/linear rollout with alarm + rollback required
  • aws-live-ecs-rollout-guard — ECS/Fargate deployment circuit breaker, health check evidence, rollback path

🟩 GCP (6):

  • gcp-live-gke-rollout-guard — GKE deployment and node pool mutations, control-plane version gating
  • gcp-live-iam-policy-change-guard — IAM binding mutations, org policy changes, SA key creation — org-wide blast radius
  • gcp-live-kms-key-destruction-guard — Cloud KMS key version destruction — CMEK data permanently unrecoverable
  • gcp-live-cost-budget-action-guard — budget thresholds, CUD commitments, quota increases — financial authority gate
  • gcp-live-bigquery-dataset-deletion-guard — dataset deletion, table truncation, authorized view changes — irreversible data loss
  • gcp-live-cloud-run-traffic-migration-guard — Cloud Run revision traffic shifts, min-instances changes — production traffic blast radius

🟠 Alibaba Cloud (6):

  • alibaba-live-ack-rollout-guard — ACK deployment mutations, node pool scaling, cluster version upgrades
  • alibaba-live-ram-policy-change-guard — RAM policy/role mutations — account-wide blast radius, privilege escalation risk
  • alibaba-live-kms-key-mutation-guard — KMS key deletion/disable — encrypted data permanently inaccessible
  • alibaba-live-cost-budget-action-guard — budget threshold changes, Savings Plan purchases, RI commitments — financial authority gate
  • alibaba-live-oss-bucket-policy-guard — OSS bucket ACL/policy changes — public exposure or China data-residency violation
  • alibaba-live-rds-polardb-mutation-guard — RDS/PolarDB instance deletion, spec downgrade, backup policy removal — data loss risk

🔴 Huawei Cloud (6):

  • huawei-live-cce-rollout-guard — CCE deployment mutations, node pool upgrades, cluster version changes
  • huawei-live-iam-policy-change-guard — IAM policy/SCP mutations — account-wide blast radius, privilege escalation
  • huawei-live-kms-key-destruction-guard — DEW/KMS key deletion — CSMS secrets and DBSS-encrypted data permanently lost
  • huawei-live-cost-budget-action-guard — budget threshold changes, RI purchases, CUD commitments — financial authority gate
  • huawei-live-obs-bucket-policy-guard — OBS bucket ACL/policy changes — public exposure or data residency violation
  • huawei-live-gaussdb-mutation-guard — GaussDB/RDS instance deletion, spec downgrade, backup policy changes — data loss

🟦 Azure (7):

  • azure-live-aks-rollout-guard — PDB audit, rollout pause/undo, post-rollout health
  • azure-live-arm-deployment-stack-guard — what-if evidence, denySettings, PIM-gated delete
  • azure-live-app-service-slot-swap-guard — sticky-setting audit, traffic shifting, swap-back path
  • azure-live-keyvault-rotation-purge-guard — rotation policy, soft-delete/purge-protection, PIM gate
  • azure-live-pim-jit-activation-guard — eligible assignment audit, MFA gate, JIT revocation
  • azure-live-cost-budget-action-guard — budget mutation, GPU SKU policy, quota read-only
  • azure-live-entra-role-assignment-guard — permanent role assignment scope/principal audit, PIM-preference enforcement, Guest principal blocking

🟥 OCI (7):

  • oci-live-autonomous-db-lifecycle-guard — ADB scale/stop/clone/terminate with tag enforcement
  • oci-live-oke-rollout-guard — DevOps pipeline approval, PDB audit, rollout pause/undo
  • oci-live-resource-manager-stack-guard — plan-before-apply, drift detection, job-lock enforcement
  • oci-live-vault-key-destruction-guard — rotation vs. destruction separation, 7–30 day deletion window
  • oci-live-iam-policy-compartment-guard — MFA break-glass, dual-approval for tenancy-root changes
  • oci-live-cost-budget-runaway-guard — 3-tier budget management, GPU shape gate, ONS alert routing
  • oci-live-network-security-rule-guard — Security List/NSG rule capture, 0.0.0.0/0 detection, DB-subnet criticality, Path Analyzer gate

☸️ Kubernetes (5):

  • kubernetes-live-rbac-mutation-guard — escalate/bind/impersonate verb detection, wildcard blocking, pre-mutation state capture, rollback via YAML backup
  • kubernetes-live-admission-policy-guard — Kyverno/VAP mutation blast-radius, failureAction enforcement, PolicyException scope validation
  • kubernetes-live-mesh-policy-guard — Istio AuthorizationPolicy/PeerAuthentication traffic impact, PERMISSIVE→STRICT migration gating
  • kubernetes-live-network-policy-guard — CiliumNetworkPolicy/NetworkPolicy connectivity impact, metadata service egress blocking
  • kubernetes-live-argocd-sync-guard — AppProject blast-radius, sync impersonation identity review, sync-window change gating

Sample skills

Rule of thumb: if the asset teaches how to do a repeatable task, it is a skill.


🤖 Agents

680 agents matching the skill catalog — agents ship harness adapters and a hardened permission model.

Provider Count Specialisations
🟩 GCP 51 advisory, live-guard operators, maestro router
🟧 AWS 47 advisory, execution, live-guard operators
🟠 Alibaba Cloud 43 advisory, live-guard operators, maestro router
🔴 Huawei Cloud 43 advisory, live-guard operators, maestro router
🟥 OCI 39 advisory, live-guard operators
🟦 Azure 36 advisory, live-guard operators
☸️ Kubernetes 16 RBAC review, workload identity, PSA, 5 live-guard operators, maestro router
☁️ OVHcloud 6 advisory, live KMS guard, maestro router
🌐 IONOS Cloud 6 advisory, live DB lifecycle guard, maestro router
🇫🇷 Scaleway 6 advisory, live Kapsule rollout guard, maestro router
🇩🇪 Hetzner Cloud 6 advisory, live firewall + server lifecycle guards, maestro router
💰 Contabo 6 advisory, live instance + storage guards, maestro router
🛡️ Kyverno 1 Admission policy review
🔄 Argo CD 2 GitOps review, live sync guard
🕸️ Istio 1 Ambient mesh review
🐝 Cilium 1 Network policy review
📡 OpenTelemetry 1 Collector config review
💡 Backstage 1 IDP scaffolder review
🔐 cert-manager 1 PKI certificate lifecycle review
🦅 Falco 1 runtime threat detection review
🔁 Flux CD 1 GitOps Kustomization/HelmRelease review
📊 Prometheus 1 alerting and cardinality review
🔏 Sigstore 1 supply-chain security review
🟩 Terraform 2 IaC review, maestro
💸 FinOps 4 cross-cloud price advisor + experimental cost/economics agents
🐘 PHP 5 maestro + 4 static-review specialists: application security (session fixation, deserialization, file-upload), runtime EOL/OPcache/FPM hardening, Composer supply-chain audit, WordPress REST API/block-editor security — static-review only
🟣 .NET 10 C#/runtime, ASP.NET Core API & identity, EF Core data access, testing, NuGet supply chain, performance/AOT, OpenTelemetry, Aspire — static-review specialists + maestro router
☕ Java 15 JDK lifecycle & upgrade, concurrency/virtual threads, JVM performance & GC, container/K8s sizing, framework readiness (Spring Boot/Quarkus/Micronaut), Spring Security, deserialization/parser security, JPA/Hibernate performance, transaction & consistency, migration safety, Kafka reliability, resilience patterns, test architecture, app-server license exit — static-review specialists + maestro router
🟧 Kotlin 16 language/null-safety correctness, coroutines/Flow reliability, library API/ABI governance, Ktor + Kotlin-Spring backend readiness, kotlinx.serialization wire contracts, Java-to-Kotlin modernization, Android (architecture, Compose UI + accessibility, MASVS security/privacy, runtime performance), Kotlin Multiplatform (portfolio + interop), Gradle build engineering, dependency/release supply-chain integrity, test architecture — static-review specialists + maestro router
🐍 Python 35 20 static-review specialists (application security, asyncio reliability, packaging/supply-chain, numerical correctness, typing contracts, web-service readiness, data-access/transactions, distributed-task reliability, testing quality, estate modernization, performance/memory, free-threading/no-GIL, native-extension interop, container/serverless, data-pipeline reliability, ML/AI production, observability, tooling/build, automation governance) routed by python-maestro-agent; plus a 15-agent live control plane (python-live-*, read-only-runtime + mutating-runtime) routed by python-live-governance-maestro-agent — mutating operators are live-guard gated (external signed approval bound to target, JIT credentials, pre-approved rollback, immutable audit event, fail-closed for R3+); ships definitions/contracts/evals, not a running control plane
🔷 TypeScript 14 maestro router + 13 static-review specialists: type soundness in shared/published code, runtime boundary contracts (parse-don't-validate at every external edge), module resolution and emit across consumer modes, Node execution compatibility (type stripping vs type checking), public API and declaration governance, build-graph performance (measurement-gated), static enforcement policy (compiler flags + typed lint), async contract reliability, package publication integrity, estate modernization sequencing, MCP tool contracts, business-critical automation governance, engineering economics — static-review only, no agent compiles, builds, publishes, or contacts a live system
🟤 NVIDIA 12 CUDA/GPU infrastructure, TensorRT/TensorRT-LLM, Triton serving, NeMo/NIM generative AI, agentic-AI platform, NGC supply chain, AI networking fabric, day-2 operations, GPU Operator on Kubernetes, model promotion gatekeeper — advisory + live-runtime gate + maestro router
📣 Marketing 14 13 governance review agents + maestro router
⚖️ Legal 13 contract review, employment law risk, privacy & data protection, regulatory compliance, IP & open source, litigation & discovery hold, ethics & investigations, vendor/procurement risk, policy governance, public disclosure, counsel review, knowledge management
👥 HR 15 employee relations, workplace investigations, performance management, compensation & equity, benefits & payroll, recruiting & selection, workforce planning & RIF, leave & accommodation, learning policy, culture & DEI, people analytics, HRIS process controls, termination readiness, risk triage
🧪 QA 10 Playwright E2E review + execution, flakiness triage, coverage quality, CI test pipeline review, PLC control-logic safety, RPA workflow resilience — static-review + opt-in execution
☁️ Salesforce 30 20 Wave 1 domain specialists (admin, dev, security, integration, Sales/Service/Marketing/Industry clouds, Agentforce, analytics, compliance) + 10 Wave 3 infrastructure security + DevSecOps agents — maestro router + live-guard authority gate
🔷 SAP 40 maestro + 39 specialists: S/4HANA transformation architecture, BTP account/entitlement governance, ABAP Cloud/RAP & CAP code review, Fiori/UI5 UX, finance FI-CO controls, supply chain IBP resilience, manufacturing execution risk, SuccessFactors HR process risk, MDG master data quality, custom-code remediation, Cloud ALM SRE, transport/release governance, read-only landscape + identity discovery; + 4 guarded-mutating-runtime live-guard operators (BTP entitlement, integration flow, role assignment, transport import) — advisory + live-guard-gated execution + maestro router
Ⓜ️ Microsoft 365 / D365 40 5 maestro routers (microsoft, m365, d365, Power Platform, Copilot governance) + 31 static-review specialists + 2 read-only-runtime live-guards (Phase A: identity posture, Dataverse security role) + 2 mutating-runtime live-guards (Phase B: Dataverse record field update, sensitivity label apply) across M365 (Entra identity/Zero Trust, Copilot readiness, Purview data security & compliance, Defender XDR SecOps, Intune endpoints, Teams collaboration, Exchange/SharePoint information governance, tenant governance, backup/BCDR & data resilience, licensing/EA optimization), Power Platform (Dataverse security, ALM pipelines, automation risk, Copilot Studio governance), Fabric/Power BI (governance, data engineering, analytics engineering), D365 (Success by Design, SoD, data migration/cutover, finance, supply chain, field service, customer service, sales, Customer Insights – Journeys, F&O developer/extensions, dual-write integration, Project Operations, Commerce, value realization), and live-guard runtime (Phase A: identity posture, Dataverse security role; Phase B: Dataverse record field update guard, sensitivity label apply guard)
🧱 Databricks (Azure) 3 2 static-review specialists (Phase A): Unity Catalog governance (metastore→catalog→schema→table, least-privilege grants, account/workspace/metastore admin separation, run-as-service-principal) + lakehouse engineering (medallion architecture, ADLS Gen2 via Access Connector managed identity, cluster policies, AKV-backed secret scopes, VNet/Private Link); + 1 mutating-runtime live-guard (Phase B): Unity Catalog schema-scoped grant guard (single GRANT to one principal, REVOKE rollback, written approval token + PREFLIGHT required)
❄️ Snowflake (Azure) 3 2 static-review specialists (Phase A): RBAC governance (ACCOUNTADMIN/SECURITYADMIN/SYSADMIN separation, custom least-privilege roles, SoD, network policies, Entra OAuth/SSO/SCIM) + data-platform engineering (warehouses, Azure Private Link, storage integration to ADLS Gen2/Blob, dynamic masking/row-access/tagging, ACCESS_HISTORY); + 1 mutating-runtime live-guard (Phase B): Snowflake RBAC grant guard (single GRANT to one grantee, REVOKE rollback, written approval token + PREFLIGHT required, ACCOUNTADMIN/SECURITYADMIN/SYSADMIN escalation denied)
🔗 Cross-functional skills 3 legal-hr-routing-protocol, legal-hr-case-capsule, legal-hr-risk-taxonomy (protocol skills, not agents)

⚖️ The Legal + HR cross-functional agentic ecosystem

Beyond cloud and platform agents, Vanguard Frontier ships a 28-agent cross-functional Legal + HR ecosystem plus 3 cross-functional protocol skills — proof that agentic coordination works across organizational boundaries, not just inside one cloud account.

Every Legal and HR agent is escalation-aware (knows when a matter must go to privileged counsel or a human owner), privacy-preserving (minimizes personal and sensitive data in every handoff), and audit-ready (emits the same structured verdict shape as the cloud live-guard agents). These agents advise on process and risk posture — they do not replace licensed legal counsel or qualified HR professionals, and they say so.

🐘 The PHP application review board

PHP is a widely used open-source, general-purpose scripting language built for the web — it powers a large share of the internet, including WordPress, and ships its own dependency manager, Composer. The board is a php-maestro router plus four static-review specialists covering application security (session fixation, insecure deserialization, and file-upload exploits), runtime end-of-life/OPcache/PHP-FPM configuration hardening, Composer supply-chain dependency audit, and WordPress REST API / block-editor security — every agent reads source, sanitized configuration, and dependency manifests only and never executes payloads, installs packages, or mutates a live runtime. These agents declare their own provider: php catalog value with a mix of ID prefixes (php-, composer-, wordpress-) reflecting the specific ecosystem tool each one reviews.

🟣 The .NET application review board

.NET is a free, cross-platform, open-source developer platform — runtime, libraries, and languages (C# is the most popular) — with ASP.NET Core as its lean, modular framework for modern cloud-based web services and EF Core as its lightweight, extensible data-access layer. The board is a dotnet-maestro router plus nine static-review specialists covering C#/runtime correctness, ASP.NET Core API architecture, identity and authorization, EF Core data access, test quality, CI/NuGet supply chain, performance/AOT/trimming, in-app OpenTelemetry wiring, and .NET Aspire cloud-native readiness — every agent reads source and sanitized configuration only and never builds, runs, migrates, or contacts a live system. These agents use provider: generic with a dotnet- ID prefix because .NET is a language/runtime, not a cloud provider — mirroring the existing non-cloud boards.

☕ The Java application review board

Java and the JVM run a large share of the enterprise back end — Spring Boot, Jakarta EE, Quarkus, and Micronaut services over Hibernate/JPA, Kafka, and relational databases, on JDKs whose support and licensing boundaries move. The board is a java-maestro router plus fourteen static-review specialists, each owning one distinct, evidence-gated decision: JDK-estate lifecycle and upgrade risk, virtual-thread adoption correctness, JVM performance and GC, containerized-JVM sizing, Spring/Quarkus/Micronaut production readiness, Spring Security authorization and Actuator exposure, untrusted-deserialization/parser RCE surface, JPA/Hibernate fetch performance, transaction and cross-resource consistency (dual-write → outbox), schema-migration deploy safety, Kafka delivery semantics, resilience-pattern composition, JVM test architecture, and the application-server license-exit portfolio decision. Every agent reads source and sanitized configuration only and never builds, runs, invokes a JDK, opens a database or broker connection, or contacts a live system. Two hardened refusal contracts anchor the board's honesty: the JDK agent never states a vendor lifecycle date from memory (it cites a verified, refreshable reference or returns unknown), and the performance and application-server-exit agents refuse to issue a GC recommendation or a payback number without supplied evidence — no hardcoded pricing or tenant data. These agents use provider: java with a java- ID prefix, mirroring the other non-cloud topical boards.

🟧 The Kotlin application review board

Kotlin runs across three estates that share a language but not a runtime — JVM back ends (Ktor and Kotlin-on-Spring services over coroutines and kotlinx.serialization), Android apps (lifecycle-aware architecture, Jetpack Compose, MASVS security), and Kotlin Multiplatform code shared to Apple and beyond. The board is a kotlin-maestro router plus fifteen static-review specialists, each owning one distinct decision: language and null-safety/interop correctness, coroutine and Flow reliability (structured concurrency, cancellation, dispatcher confinement, context propagation), public library API/ABI evolution, Ktor + Kotlin-Spring backend production readiness, kotlinx.serialization wire-contract safety, Java-to-Kotlin estate modernization sequencing, Android lifecycle-aware architecture, Jetpack Compose UI quality and accessibility, MASVS-aligned Android security and privacy, measured Android runtime performance, the Kotlin Multiplatform adopt-or-not portfolio decision, the KMP source-set/interop boundary (including Kotlin/Native), Gradle build engineering, dependency and release supply-chain integrity, and coroutine/Compose/KMP test architecture. Every agent reads source and sanitized configuration only and never builds, runs, deploys, signs, publishes, or contacts a live system; the maestro routes generic-JVM, cluster, observability, and signing concerns out to the Java, Kubernetes, OpenTelemetry/Prometheus, and Sigstore boards rather than answering them. These agents use provider: kotlin with a kotlin- ID prefix, mirroring the other non-cloud topical boards.

🐍 The Python application review + live governance board

Python spans application code, async runtimes, the packaging/supply-chain surface, data and ML pipelines, and the business-critical automation that quietly runs finance and operations. The board is the largest in the catalog and the only language/stack board with two planes, kept deliberately separate:

  • A 20-agent static-review board routed by python-maestro-agent: adversarial, evidence-first specialists, each owning one decision — application security (unsafe deserialization, dynamic execution, subprocess/shell injection, SSRF, path traversal, crypto misuse, each traced input→sink with a CWE), asyncio event-loop reliability, packaging and software-supply-chain integrity (dependency confusion, hash-checking, build isolation), numerical/scientific correctness (money-as-float, dtype coercion, reproducibility), gradual-typing contracts, web-service production readiness, database access and transaction scope, distributed-task idempotency, test-suite quality, runtime-estate modernization, performance/memory, free-threaded (no-GIL, PEP 703) adoption, native-extension interop, container/serverless runtime, data-pipeline reliability, ML/AI production, in-app observability, developer tooling/build, and business-critical automation governance. Every one reads source, sanitized configuration, and dependency manifests only — it never runs pip install, imports or executes the code, opens a connection, deploys, publishes, or edits files.
  • A 15-agent live control plane (python-live-*) routed by python-live-governance-maestro-agent, for controlled execution with provable accountability. Read-only-runtime agents (inventory, identity/authority, runtime observation, change planning, policy-gate evaluation, evidence sealing, continuous control testing, exception governance) observe and plan without mutating. Six mutating-runtime operators (code remediation, release control, data-change control, job control, model promotion, rollback/recovery) are live-guards: never auto-dispatched, each acting on exactly one bounded scope only behind an external signed approval bound to the exact target and plan digest, target-scoped just-in-time credentials, a pre-approved rollback, and an immutable audit event — failing closed when audit logging is unavailable for an R3+ action.

The board is a deliberate, governed exception to the "language/stack boards are static-review only" default, and it is scrupulous about the boundaries that matter: permission is not authority, execution is not approval, a green technical result is not business success, an emitted audit event is not proof an action was authorized, a control-to-framework mapping is not a compliance claim, and automation is not accountability. This repo ships the definitions, control/audit contracts, and eval fixtures — not a running control plane. The audit-log store, JIT issuance, approval system, and actual execution belong to the deploying organization's runtime, and regulatory/compliance classification stays its qualified owners' determination. These agents declare provider: python with a python- ID prefix; see docs/language-stack-boards.md, docs/evidence-output-spec.md, and docs/compliance/.

🔷 The TypeScript program and package board

TypeScript is not synonymous with React, and this board is deliberately not a second frontend board. Its unit of analysis is the TypeScript program and the published package: compiler configuration, module resolution and emit, the declaration surface, program-graph cost, Node execution, and the runtime boundaries that type erasure leaves undefended. The board is a typescript-maestro router plus thirteen static-review specialists, each owning one bounded decision: whether a type abstraction in shared or published code proves what its signature claims; where external data must be parsed rather than asserted; whether a package resolves and emits correctly for every consumer mode; whether the code runs on the target Node and is type-checked anywhere; whether a declaration change is breaking and what version it requires; what in the type graph costs measured build and editor time; what the static toolchain must prove and at what cost; whether every promise is awaited, cancellable, and bounded; who may publish and what ships in the tarball; how an estate migrates reversibly; whether a declared MCP tool contract matches its handler; whether a privileged script may run and under which controls; and what the supplied measurements make worth funding.

Two design constraints are load-bearing. First, compile-time is not runtime: TypeScript types are erased, so "it compiles" is evidence about the source and not about the payload — the runtime-boundary specialist exists precisely because a generated type is a claim about a producer rather than a check on data. Second, this repository contains no TypeScript program of its own, so no agent may ground a verdict in "the installed version"; every version-gated conclusion is preconditioned on evidence the user supplies, and an agent without it refuses rather than guesses. The boundary with the frontend board is drawn on artifact scope — application diffs and framework specifics stay there — and is written into both boards' refusal lists. Every agent reads source and sanitized configuration only and never compiles, builds, tests, publishes, deploys, or contacts a live system. These agents declare provider: typescript with a typescript- ID prefix; the full design record, including every candidate agent that was rejected and the reason, is in .claude/workflow/typescript-board/.

Ⓜ️ The Microsoft 365 / Dynamics 365 board

A maestro-routed board for the Microsoft business cloud (M365, Dynamics 365, Power Platform, and Copilot) — the SaaS surface, distinct from Azure infrastructure. A top-level microsoft-maestro routes to four sub-maestros (m365, d365, power-platform, copilot-governance) and refuses Azure-IaaS / cross-cloud work, deflecting it to the Azure/AWS/GCP maestros. Under them sit 31 static-review specialists + 2 read-only-runtime live-guards (Phase A) + 2 mutating-runtime live-guards (Phase B) organized into categories:

  • M365 — identity & Copilot: Entra Conditional Access / Zero Trust and Microsoft 365 Copilot readiness & data-exposure governance (the Copilot Zero Trust 7-layer / oversharing model).
  • Power Platform & Copilot Studio: environment + DLP + Dataverse security, ALM pipelines, automation (Power Automate) risk review, and Copilot Studio agent governance / ALM.
  • Analytics: Microsoft Fabric / Power BI semantic-model trust, RLS/OLS, and workspace governance.
  • Dynamics 365: Success by Design implementation governance, Finance & Operations segregation-of-duties, data migration & cutover, finance close-to-report, supply chain plan-to-produce, field service-to-cash, customer service & contact center, sales revenue operations, and license-to-value realization.

Static-review agents produce no tenant mutations; every verdict requires explicit human approval. The board also ships Phase A read-only-runtime live-guards (m365-live-identity-posture-guard-agent, d365-live-security-role-guard-agent) that read live tenant state without writing, and Phase B mutating-runtime live-guards (d365-live-record-field-update-guard-agent, m365-live-sensitivity-label-apply-guard-agent) that execute exactly one controlled WRITE operation (a named Dataverse field PATCH or a Graph sensitivity-label assignment to one driveItem) only after a written approval token, PREFLIGHT dry-run, and inverse-rollback path are confirmed — bulk edits, DELETE, ownerid/security-role fields, label-policy writes, and broad directory permissions are unconditionally denied. The board is grounded on Microsoft Learn and ships alongside 15 cross-functional protocol skills (provider: generic, recommendation-only) that orchestrate it across business processes — lead-to-cash, procure-to-pay, close-to-report, copilot-data-readiness, erp-crm-cutover, identity-to-data-access, and more.

🔷 The SAP S/4HANA + BTP board

SAP is a large enterprise ERP and business-cloud platform spanning S/4HANA (core ERP), the Business Technology Platform (BTP: integration, extension, and AI services), and a wide set of line-of-business modules. The board is an sap-maestro router plus 39 specialists spanning S/4HANA transformation architecture, BTP account/entitlement governance, ABAP Cloud/RAP and CAP code review, Fiori/UI5 UX, finance FI-CO controls, supply chain IBP resilience, manufacturing execution risk, SuccessFactors HR process risk, MDG master-data quality, custom-code remediation, Cloud ALM SRE/incident response, and transport/release governance — plus read-only landscape and identity/trust discovery agents. Four guarded-mutating-runtime live-guard operators (BTP entitlement, integration flow, role assignment, and transport import) execute exactly one approved change behind a written approval token, PREFLIGHT dry-run, and inverse-rollback path; every other agent is static-review and produces no system-of-record mutation.


Every agent ships:

  • 📄 AGENT.md — harness-neutral contract with guarded response shape
  • 🗂️ metadata.json — schema-validated catalog entry
  • 🔌 Harness adapters — claude-code + codex (EU providers); all 7 adapters for established providers
agents/
├── accounting/       (14 agents — maestro + corporate accounting specialists: revenue recognition (ASC 606/IFRS 15), close cycle, consolidation/intercompany, fixed assets, lease accounting (ASC 842), hedge accounting, FX translation, tax provision, payroll, procure-to-pay, equity compensation, indirect tax/e-invoicing, business combinations — all advisory, no ledger writes)
├── alibaba/          (43 agents — advisory, live-guard operators, maestro)
├── argocd/           (2 agents — GitOps review, live sync guard)
├── aws/              (47 agents — advisory, execution, live-guard operators)
├── azure/            (36 agents — advisory, live-guard operators)
├── backstage/        (1 agent — IDP scaffolder review)
├── cert-manager/     (1 agent — PKI certificate lifecycle review)
├── cilium/           (1 agent — network policy review)
├── contabo/          (6 agents — advisory, live instance + storage guards, maestro)
├── databricks/       (3 agents — Azure Databricks: Unity Catalog governance + lakehouse engineering — static review, -at-azure; + Unity Catalog schema-scoped grant guard — mutating-runtime live-guard, Phase B)
├── dotnet/           (10 agents — C#/runtime, ASP.NET Core, EF Core, testing, NuGet supply chain, performance/AOT, OpenTelemetry, Aspire — maestro + 9 specialists)
├── falco/            (1 agent — runtime threat detection review)
├── finance/          (8 agents — maestro + corporate finance specialists: variance analysis, FP&A forecasting, treasury/liquidity, working capital, debt/capital structure, capital allocation, transfer pricing/Pillar Two — all advisory, no ERP writes)
├── finops/           (4 agents — cross-cloud price advisor + experimental cost/economics agents)
├── fluxcd/           (1 agent — GitOps Kustomization/HelmRelease review)
├── frontend/         (35 agents — React/Next.js/Angular/Vue/Svelte specialists, web-platform + cross-cutting review roles, board-chair + enterprise red-team + maestro — all static-review, no build/deploy/credentials)
├── gcp/              (51 agents — advisory, live-guard operators, maestro)
├── hetzner/          (6 agents — advisory, live firewall + server lifecycle guards, maestro)
├── hr/               (15 agents — employee relations, investigations, performance, compensation, benefits, recruiting, workforce planning, learning, culture & DEI, analytics, HRIS, termination readiness, maestro)
├── huawei/           (43 agents — advisory, live-guard operators, maestro)
├── ionos/            (6 agents — advisory, live DB lifecycle guard, maestro)
├── istio/            (1 agent — ambient mesh review)
├── java/             (15 agents — JDK lifecycle, concurrency/virtual threads, JVM performance/GC, container sizing, framework readiness, Spring Security, deserialization security, JPA/Hibernate, transactions, migration safety, Kafka, resilience, testing, app-server exit — maestro + 14 specialists)
├── kotlin/           (16 agents — language/null-safety, coroutines/Flow reliability, library API/ABI, Ktor + Kotlin-Spring backend, kotlinx.serialization wire contracts, Java-to-Kotlin modernization, Android architecture/Compose/security/performance, KMP portfolio + interop, Gradle build, supply-chain integrity, test architecture — maestro + 15 specialists)
├── kubernetes/       (15 agents — RBAC, workload identity, PSA, pod-spec, ESO, Kubecost, live-guards, maestro)
├── kyverno/          (1 agent — admission policy review)
├── legal/            (13 agents — contract review, employment law, privacy & data protection, regulatory compliance, IP & open source, litigation hold, ethics & investigations, vendor risk, policy governance, public disclosure, counsel review, knowledge management)
├── marketing/        (14 agents — 13 governance review agents + maestro router)
├── microsoft/        (40 agents — Microsoft 365 / Dynamics 365 / Power Platform / Copilot — microsoft maestro + m365/d365/power-platform/copilot-governance sub-maestros, plus 31 static-review specialists: Entra Zero Trust, Copilot readiness, Purview data security & compliance, Defender XDR SecOps, Intune endpoints, Teams collaboration, Exchange/SharePoint information governance, tenant governance, backup/BCDR & data resilience, licensing/EA optimization, Dataverse/DLP security, Power Platform ALM, Power Automate risk, Copilot Studio governance, Fabric/Power BI governance, Fabric data engineering, Fabric analytics engineering, D365 Success by Design, SoD, data migration/cutover, finance, supply chain, field service, customer service, sales, Customer Insights – Journeys, F&O developer/extensions, dual-write integration, Project Operations, Commerce, value realization — all static-review, live-guard-gated; +2 read-only-runtime live-guard agents (Phase A): identity posture, Dataverse security role; +2 mutating-runtime live-guard agents (Phase B): Dataverse record field update guard, sensitivity label apply guard)
├── netsuite/         (25 agents — Oracle NetSuite ERP — maestro router, live-org mutation guard, evidence/release-drift + enterprise-architecture + SOX audit governance, plus 20 domain specialists: financial foundations, SuiteScript secure code review, SDF DevOps, OneWorld multi-subsidiary, identity/RBAC, OAuth/TBA/SSO, AI Connector/MCP, data governance, integration migration, and more — all static-review tier)
├── nvidia/           (12 agents — GPU infrastructure, TensorRT/TensorRT-LLM, Triton serving, NeMo/NIM, agentic AI, NGC supply chain, AI networking, day-2 ops, GPU Operator on Kubernetes, model promotion gatekeeper — maestro + advisory + live-runtime gate)
├── oci/              (39 agents — advisory, live-guard operators)
├── opentelemetry/    (1 agent — collector config review)
├── php/              (5 agents — maestro + 4 static-review specialists: application security, runtime EOL/OPcache/FPM hardening, Composer supply-chain audit, WordPress REST/block-editor security)
├── ovhcloud/         (6 agents — advisory, live KMS guard, maestro)
├── prometheus/       (1 agent — alerting and cardinality review)
├── python/           (35 agents — 20 static-review specialists (app security, asyncio, packaging/supply-chain, numerical, typing, web-service, data-access, distributed-task, testing, estate modernization, performance, free-threading, native-extension, container/serverless, data-pipeline, ML/AI, observability, tooling, automation governance) + python-maestro; plus a 15-agent live control plane (python-live-*, read-only-runtime + mutating-runtime) with python-live-governance-maestro — mutating operators live-guard gated, never auto-dispatched)
├── typescript/       (14 agents — maestro + 13 static-review specialists: type soundness, runtime boundary contracts, module resolution/emit, Node execution compatibility, public API/declaration governance, build-graph performance, static enforcement policy, async contract reliability, publication integrity, estate modernization, MCP tool contracts, automation governance, engineering economics)
├── qa/               (10 agents — Playwright E2E review + execution, flakiness triage, coverage quality, CI pipeline review, PLC control-logic safety, RPA workflow resilience)
├── salesforce/       (30 agents — 20 Wave 1 domain specialists + 10 Wave 3 infrastructure security/DevSecOps agents, maestro router, live-guard authority gate)
├── sap/              (40 agents — maestro + 39 specialists: S/4HANA transformation, BTP account/entitlement governance, ABAP Cloud/RAP + CAP code review, Fiori/UI5 UX, finance FI-CO, supply chain IBP, manufacturing execution, SuccessFactors HR, MDG master data, custom-code remediation, Cloud ALM SRE, transport/release governance, read-only landscape + identity discovery; + 4 guarded-mutating-runtime live-guard operators — advisory + live-guard-gated execution)
├── scaleway/         (6 agents — advisory, live Kapsule rollout guard, maestro)
├── snowflake/        (3 agents — Snowflake on Azure: RBAC governance + data-platform engineering — static review, -at-azure; + RBAC grant guard — mutating-runtime live-guard, Phase B)
├── sigstore/         (1 agent — supply-chain security review)
└── terraform/        (2 agents — IaC review, maestro)

Example:

Use an agent when you need a role with judgment, not just a checklist.


📦 Install Reference

Everything you can install, and exactly how to install it. One section, no hunting.

🧭 How to pick what to install

🙋 I know my job function               → use --role
🎯 I know the specific agent I want     → use --agents
☁️  I work on one cloud provider only    → add --provider to either of the above
💥 I want everything for a platform     → use --all
🔍 I don't know what exists yet         → use --list or --list-roles first

🏷️ Argument reference

Argument Values Required Description
--platform see table below ✅ yes (except --list, --list-roles) Target AI harness
--role see role table below pick one ↓ Install all agents for a job role
--agents comma-separated agent IDs pick one ↓ Install specific agents by ID
--all pick one ↓ Install every agent for the platform
--provider any provider id — run vfa-export-agents --list-providers to list them ➕ optional Narrow --role results to one provider
--repo path ➕ optional Target repo root (defaults to current directory)
--force ➕ optional Overwrite files that already exist
--list 🔍 standalone Print all agent IDs, providers, and names; then exit
--list-roles 🔍 standalone Print role IDs with agent counts; then exit
--list-providers 🔍 standalone List all providers with agent counts; then exit
--dry-run ➕ optional Print the export plan without writing files
--no-skills ➕ optional Skip companion skill bundling

🖥️ Platform reference

Each platform writes agent files to a different folder in your repo.

--platform value AI harness Installs into
claude-code 🤖 Claude Code (Anthropic) .claude/agents/
codex ⚡ Codex CLI (OpenAI) .codex/agents/
copilot 🐙 GitHub Copilot / VS Code .github/agents/
cursor 🖱️ Cursor .cursor/agents/
gemini ♊ Gemini CLI (Google) .gemini/agents/
kiro 🔮 Kiro — both IDE + CLI adapters .kiro/agents/
kiro-ide 🔮 Kiro IDE only .kiro/agents/
kiro-cli 🔮 Kiro CLI only .kiro/agents/

ℹ️ The exporter installs agent files only. It does not write repo-level guidance files (CLAUDE.md, AGENTS.md, .github/copilot-instructions.md, etc.). See docs/normalized-platform-matrix.md.


👤 Role reference

A role installs the curated set of agents a practitioner in that job function needs, across all cloud providers. Roles overlap intentionally — one agent may appear in multiple roles.

--role value 👤 Who it is for 🔢 Agents ☁️ What it covers
cloud-security-engineer 🔐 Security engineers, compliance teams, IAM owners 51 IAM/RBAC review, secrets lifecycle, identity governance, live guards for access and key mutations — AWS · Azure · OCI · GCP · Alibaba · Huawei · OVHcloud · Scaleway · Contabo · K8s
cloud-platform-engineer 🏗️ Infrastructure/SRE, IaC owners, Kubernetes platform teams 58 IaC safety review, container platform operators, networking, landing zones, live deployment guards — AWS · Azure · OCI · GCP · Alibaba · Huawei · EU providers · Terraform
cloud-dba 🗄️ Database administrators, data platform engineers 20 RDS/Aurora, DynamoDB, CosmosDB, OCI Autonomous/Exadata/MySQL HeatWave, IONOS DBaaS, replication, live DB lifecycle guards
cloud-finops-analyst 💰 FinOps leads, cost governance teams 25 Cost optimization governors, anomaly watch, budget runaway guards, capacity planning — AWS · Azure · OCI · GCP · Alibaba · Huawei · EU providers
cloud-solutions-architect 🏛️ Cloud architects, migration leads, AI/generative engineers 38 Solution architecture, migration cutover, resilience/BCDR, event-driven design, multi-cloud, AI/generative — AWS · Azure · OCI · GCP · Alibaba · Huawei
cloud-devops-engineer 🚀 CI/CD engineers, release managers, SRE ops 49 CI/CD, pipeline approval gates, live rollout guards, deployment hotfix operators, serverless readiness, observability — AWS · Azure · OCI · GCP · Alibaba · Huawei
kubernetes-admission-security-engineer 🛡️ Platform security, policy engineers, admission control owners 6 Kyverno policy review, K8s workload identity, PSA profiles, live admission-policy guard, live RBAC guard
kubernetes-network-engineer 🐝 Network engineers, platform SREs, zero-trust mesh owners 5 Cilium/NetworkPolicy review, Istio ambient mesh review, live network-policy and mesh-policy guards
kubernetes-application-platform-engineer 🔄 Platform engineers, GitOps owners, ArgoCD operators 3 Argo CD GitOps review, live ArgoCD sync guard, kubernetes-maestro router
kubernetes-runtime-security-engineer 🔍 Runtime security, observability, and threat detection engineers 6 Falco threat rules, Sigstore supply chain, K8s workload identity, RBAC review, pod-spec review, live RBAC guard
kubernetes-pki-engineer 🔐 PKI/cert lifecycle engineers, secrets management owners 6 cert-manager Issuer/ClusterIssuer, CertificateRequestPolicy gap, ESO scope, AWS Private CA, Azure KV cert, OCI Certificates
kubernetes-observability-engineer 📊 SRE observability engineers, FinOps cost analysts 4 Prometheus alerting/cardinality, OTEL Collector pipeline, Kubecost chargeback/allocation, maestro router
kubernetes-supply-chain-security-engineer 🔏 Supply chain security engineers, DevSecOps practitioners 7 Sigstore/Cosign, Falco runtime rules, Kyverno admission policy, PSA hardening, pod-spec review, live admission guard
kubernetes-developer-platform-engineer 🎭 IDP/platform engineers, GitOps owners, developer experience leads 6 Backstage Scaffolder templates, Argo CD, Argo Rollouts progressive delivery, FluxCD Kustomization/HelmRelease, maestro router
kubernetes-disaster-recovery-engineer 💾 SRE disaster recovery engineers, backup and restore owners 2 Velero live-guarded restore operations with pre-restore checklist, maestro router
# 🔍 See exactly which roles exist and how many agents each has
npx vfa-export-agents --list-roles

# 📦 Install a cloud role
npx vfa-export-agents --platform claude-code --role cloud-security-engineer --repo .

# ☁️  Install a cloud role but only for one provider
npx vfa-export-agents --platform claude-code --role cloud-security-engineer --provider azure --repo .

# ☸️  Install a Kubernetes specialist role
npx vfa-export-agents --platform claude-code --role kubernetes-admission-security-engineer --repo .
npx vfa-export-agents --platform claude-code --role kubernetes-network-engineer --repo .

☁️ Provider reference

Use --provider with --role to narrow the install to one cloud.

--provider value Domain 🔢 Agents in catalog
gcp 🟩 Google Cloud Platform 51
aws 🟧 Amazon Web Services 47
alibaba 🟠 Alibaba Cloud 43
huawei 🔴 Huawei Cloud 43
microsoft 🟦 Microsoft 365 / Dynamics 365 40
sap 🟨 SAP S/4HANA + BTP 40
oci 🟥 Oracle Cloud Infrastructure 39
azure 🟦 Microsoft Azure 36
frontend 🎨 Frontend (web platform) 35
python 🐍 Python 35
salesforce ☁️ Salesforce 30
netsuite 🟫 Oracle NetSuite ERP 25
kotlin 🟧 Kotlin 16
kubernetes ☸️ Kubernetes (cross-cloud) 16
hr 👥 HR 15
java ☕ Java 15
accounting 📒 Accounting 14
marketing 📣 Marketing governance 14
typescript 🔷 TypeScript 14
legal ⚖️ Legal 13
nvidia 🟩 NVIDIA (GPU / AI platform) 12
generic 🧰 Generic (cross-platform) 11
dotnet 🟣 .NET 10
finance 💹 Finance 8
contabo 💰 Contabo 6
hetzner 🇩🇪 Hetzner Cloud 6
ionos 🌐 IONOS Cloud 6
ovhcloud ☁️ OVHcloud 6
scaleway 🇫🇷 Scaleway 6
php 🐘 PHP 5
databricks 🧱 Databricks 3
multi-cloud 💰 FinOps / multi-cloud 3
snowflake ❄️ Snowflake 3
argocd 🔄 Argo CD + Argo Rollouts (GitOps) 2
terraform 🟩 Terraform (cross-cloud) 2
backstage 🎭 Backstage (IDP / developer platform) 1
cert-manager 🔐 cert-manager (PKI / cert lifecycle) 1
cilium 🐝 Cilium (network policy) 1
falco 🦅 Falco (runtime threat detection) 1
fluxcd 🔄 FluxCD (GitOps) 1
istio 🕸️ Istio (service mesh) 1
kyverno 🛡️ Kyverno (admission policy) 1
opentelemetry 📡 OpenTelemetry (observability) 1
prometheus 📊 Prometheus (alerting + cardinality) 1
sigstore 🔏 Sigstore / Cosign (supply chain) 1
# 🟥 Install every OCI agent for a cloud-platform-engineer (OCI-only team)
npx vfa-export-agents --platform codex --role cloud-platform-engineer --provider oci --repo .

# 🟦 Install every Azure agent for a cloud-devops-engineer
npx vfa-export-agents --platform copilot --role cloud-devops-engineer --provider azure --repo .

🎯 Common install scenarios

🙋 I want to… Command
🔍 See what agents exist npx vfa-export-agents --list
🔍 See what roles exist npx vfa-export-agents --list-roles
🔍 See what providers exist npx vfa-export-agents --list-providers
👤 Install for my job role (Claude Code) npx vfa-export-agents --platform claude-code --role <role> --repo .
☁️ Install for my job role, one cloud only npx vfa-export-agents --platform claude-code --role <role> --provider aws --repo .
☸️ Install K8s admission security role npx vfa-export-agents --platform claude-code --role kubernetes-admission-security-engineer --repo .
🐝 Install K8s network engineering role npx vfa-export-agents --platform claude-code --role kubernetes-network-engineer --repo .
🧭 Install the Kubernetes maestro router only npx vfa-export-agents --platform claude-code --agents kubernetes-maestro-agent --repo .
🎯 Install one specific agent npx vfa-export-agents --platform claude-code --agents kubernetes-rbac-review-agent --repo .
🎯 Install two specific agents npx vfa-export-agents --platform claude-code --agents agent-id-1,agent-id-2 --repo .
💥 Install everything for Codex npx vfa-export-agents --platform codex --all --repo .
🔄 Re-install and overwrite existing files npx vfa-export-agents --platform claude-code --role <role> --repo . --force
📂 Install into a different repo path npx vfa-export-agents --platform gemini --role <role> --repo /path/to/other-repo
🏭 Enforce via CI/CD pipeline See docs/ci-cd-enforcement-pattern.md

🌍 Vision

Build a practical AI workflow marketplace for secure cloud engineering.

This repository exists for teams that need to design, review, and operate cloud systems where security and compliance are not optional extras.

The north star:

🛡️ Cloud architecture should be zero-trust by default, evidence-backed by design, and understandable by engineers of any seniority.

That means every serious workflow should help engineers answer:

  • 👤 Who is accessing what?
  • 🔐 Why are they allowed?
  • 🧾 Where is the evidence?
  • 🚨 How do we detect abuse or drift?
  • 🧯 How do we respond and recover?
  • 📋 Which compliance obligation does this support?

🧬 Philosophy

This repo is opinionated. That is a feature, not a bug.

1. 🛡️ Zero trust beats implicit trust

Do not trust a network, cloud account, CI runner, agent, workload, or human just because it is "inside" something.

Good assets should push for:

  • strong identity,
  • least privilege,
  • explicit authorization,
  • segmentation,
  • continuous verification,
  • logging and detection,
  • short-lived credentials where possible,
  • safe rollback paths.

2. 🧾 Compliance needs evidence, not vibes

SOC 2 Type 2, PCI DSS, NIS2, and NIST-style control frameworks are not passed by good intentions. They require repeatable controls and evidence over time.

Good assets should produce or point to evidence:

  • policy decisions,
  • access reviews,
  • architecture diagrams,
  • ticket approvals,
  • logs and alerts,
  • backup and restore tests,
  • vulnerability and patch records,
  • incident response records,
  • change history.

3. 🔐 Least privilege is the default

If a workflow recommends broad admin access, it must explain why.

If it cannot explain why, it should not recommend it.

4. 🧪 Every claim needs a source or a validation path

Cloud behavior changes. Compliance expectations evolve. Vendor services drift.

So assets should clearly separate:

  • ✅ verified facts,
  • 🧠 engineering judgment,
  • ⚠️ assumptions,
  • ❓ unknowns.

5. 🧯 Automation must have brakes

AI-assisted automation should not become a fast path to production damage.

Dangerous actions need:

  • read-only discovery first,
  • explicit approval,
  • scoped credentials,
  • dry-run or plan mode where possible,
  • rollback notes,
  • post-change validation.

📋 Compliance compass

This repository is not a compliance product and does not replace auditors, QSAs, legal counsel, or official standards.

It is a control-aware engineering toolbox. The assets should help teams design and collect evidence for common security expectations across frameworks.

Every live-guard and review agent produces a structured verdict response (verdict, evidence_level, blockers, safe_next_actions, open_questions) that maps directly to SOC 2 CC6.1, PCI DSS Req 7, NIS2 Article 21, NIST CSF PR.AC-4, and ISO 27001 A.9.1.1 — no post-processing required. See docs/evidence-output-spec.md for the full control mapping and evidence retention guidance.

Framework / standard What it pushes us to remember Repo design implication
🔵 SOC 2 Type 2 Controls must operate over a period of time, especially around security, availability, confidentiality, processing integrity, and privacy trust service criteria. Workflows should leave evidence trails, not just one-time fixes.
💳 PCI DSS Cardholder data environments need scoped controls, secure configuration, access control, monitoring, vulnerability management, and testing. Workflows should reduce scope, avoid broad access, and flag payment-data risk.
🇪🇺 NIS2 EU cybersecurity rules emphasize governance, risk management, incident reporting, supply-chain security, and management accountability. Workflows should make ownership, reporting, and supplier/cloud dependencies explicit.
🧭 NIST CSF 2.0 Cybersecurity risk management spans Govern, Identify, Protect, Detect, Respond, and Recover. Assets should not stop at prevention; they should include detection, response, and recovery.
🏛️ NIST SP 800-207 Zero Trust Access should be continuously evaluated and should not rely on implicit network trust. Agents and skills should challenge flat networks, permanent credentials, and unverified trust boundaries.

Ruthless correction: NIS2 is the European cybersecurity directive. NIST is a U.S. standards body. If someone says "NIST2 European compliance," they probably mean NIS2 or they are mixing two different things.


🏗️ Architecture principles

Use these principles when creating or reviewing assets:

Principle What good looks like
👤 Identity-first Humans, workloads, agents, and CI/CD jobs have explicit identities.
🔐 Least privilege Permissions are narrow, justified, and reviewable.
🧱 Segmented blast radius Network, account, project, subscription, tenancy, and data boundaries are deliberate.
🧾 Evidence by design The workflow naturally produces logs, approvals, diffs, plans, or reports.
🔎 Continuous monitoring Detection is part of the design, not an afterthought.
🧯 Recoverability Backups, restore tests, rollback, and incident response are considered upfront.
🧭 Source-grounded guidance Official docs and live state beat memory and assumptions.
🤝 Human accountability AI can assist, but owners still approve risk.

✅ Eval-driven development

This repository uses eval-driven development (EDD) to ensure quality and consistency.

Before implementing any new feature, agents, or skills:

  1. Define evals first — What must pass? (capability evals + regression evals)
  2. Implement — Build agents, skills, or features
  3. Validate — Run the test suite and evals
  4. Report — Document results in .claude/evals/<feature>.md

Example: The EU cloud providers feature was built using EDD:

  • CE-1 to CE-6: Capability evals (filesystem layout, companion skills, security, schema, docs, content quality)
  • CE-7 to CE-8: Post-implementation evals (role-based install coverage, taxonomy/docs updates)
  • Regression evals: All 7 validation gates (catalog, skill schema, allowed-tools, agent schema, manifest, links)
  • Result: 30 agents + 30 skills across 5 EU providers, all validation gates passing

See the /eval-harness skill for the full EDD framework and docs/CODEMAPS/ for live inventory.


🧭 Quick map

Folder What lives here Easy memory hook
skills/ Reusable workflows grouped by provider or domain 🧠 "How do I do this task?"
agents/ Expert roles grouped by provider or domain 🤖 "Who should review this?"
rules/ Harness-specific instructions 📏 "What behavior is always expected?"
mcp/ MCP server references and trust notes 🔌 "What can this connect to?"
catalog/ JSON indexes for marketplace discovery 🗂️ "What assets exist?"
schemas/ Metadata validation contracts ✅ "What fields are required?"
templates/ Starter templates for new assets 🧱 "How do I add one?"
docs/ Quality rules, taxonomy, compliance evidence spec, CI/CD enforcement patterns 📚 "How should this repo work?"
.claude/evals/ Eval-driven development (EDD) definitions and test reports ✅ "How are features validated?"
assets/ Logos and visual assets 🎨 "What images can docs use?"

🔌 MCP references

MCP references describe tool/server integrations and their trust boundaries.

Examples:

Important: MCP tools may read or mutate real infrastructure. Treat them like production access, not like harmless documentation links.


✅ Quality bar

This repo is not a prompt junk drawer.

Every cataloged asset should be:

  • 🔎 Traceable — includes official docs or clear provenance.
  • 🔐 Security-aware — explains access, risk, and least-privilege concerns.
  • 🧪 Validated — passes repo checks before being shared.
  • 🧭 Scoped — clearly says which provider, domain, and harness it supports.
  • 🧯 Safe by default — read-only discovery before mutation; approval before dangerous actions.

Hard no:

  • ❌ Secrets or credentials.
  • ❌ Vague "do everything" prompts.
  • ❌ Unsafe production mutation recipes.
  • ❌ Cloud claims with no source or verification path.

For the detailed standard, read docs/quality-bar.md.


🗂️ Metadata contract

Every cataloged asset needs metadata so people and tools can understand it.

Required common fields:

  • id
  • name
  • type: skill, agent, rule, or mcp-reference
  • provider: aws, azure, oracle, oci, gcp, kubernetes, terraform, multi-cloud, or generic
  • harnesses: one or more of codex, copilot, claude-code, cursor, gemini, kiro, other
  • summary
  • source_type: original, adapted, or reference-only
  • official_docs
  • security_notes
  • last_verified
  • path

🔏 Skill integrity manifests

Skills are executable guidance. Treat them like supply-chain artifacts.

This repo uses catalog/skill-manifest.json to record SHA-256 hashes for every file under every cataloged skill directory.

After intentional skill edits, regenerate the manifest:

npm run manifest:write

Before release or review, check it:

npm run manifest:check

🧪 Validate your changes

Before contributing or sharing changes, run:

npm run validate

Equivalent manual commands:

python tests/validate-catalog.py
python tests/validate-skill-manifest.py
python tests/validate-links.py --offline

If validation fails, fix that first. A broken catalog makes the marketplace harder to trust.


📦 npm publishing and semantic versioning

Use SemVer: MAJOR.MINOR.PATCH.

Version bump Use when Example
🩹 PATCH Typos, metadata corrections, manifest refresh 0.1.00.1.1
MINOR New skills, agents, provider folders, optional metadata 0.1.00.2.0
💥 MAJOR Removed/renamed IDs, moved paths, breaking schema changes 1.4.22.0.0

Read the full policy in docs/release-versioning.md.


🧑‍💻 How to add a new asset

  1. 🧭 Pick the right folder — skills/<provider>/, agents/<provider>/, rules/<harness>/, or mcp/official/.
  2. 🧱 Start from a template — templates/skill-template or templates/agent-template.
  3. 🗂️ Add or update catalog metadata in the matching catalog/*.json file.
  4. ✅ Run npm run validate.
  5. 🧯 Check safety — no secrets, no broad permissions without justification, no destructive actions without approval gates.

❓ FAQ

Skills vs agents — what's the difference?
A skill teaches your coding agent how to do a task (step-by-step workflow, CLI commands, reference material). An agent gives your coding agent a role with judgment — it loads the skill and adds a guarded response shape, approval gates, and a hardened permission model.

Do I need a cloud account to use these?
For reviewing architecture, writing IaC, or planning — no. For live-guard agents that execute against a real environment — yes, and they will ask you to confirm subscription/tenancy/principal before any mutation.

Can I use a skill or agent without the exporter CLI?
Yes. Copy the harness file for your platform from agents/<provider>/<id>/harnesses/ directly into your repo's agent folder. The CLI just automates that copy.

What is a "live guard" agent?
A live-guard agent operates against a real cloud environment. It enforces approval gates before any mutation, requires preflight evidence (what-if/plan/status output), and treats missing rollback design as a stop condition. Live guards are refusal-by-default — if target identity, approval state, or rollback posture is ambiguous, they stop and say so.

What does the FinOps price advisor actually do?
It fetches live on-demand prices from AWS Price List API, Azure Retail Prices API, and OCI public pricing API — all public, unauthenticated endpoints. It never needs billing credentials. Currency defaults to USD; other currencies are available via Azure's native currencyCode parameter or public exchange rate APIs for AWS/OCI.

Can I contribute new skills or agents?
Yes — see Contributing. The baseline requirement: the asset must be specific, source-backed, security-aware, and validated by npm run validate.


📚 Source anchors

Use official sources when writing security or compliance-sensitive assets:

Prefer these over blog posts. Blog posts can help explain, but they are not the source of truth.


💬 Feedback

We value your input — it helps improve this marketplace for the whole community.

  • Bugs & feature requests: open an issue — 👍 the ones you want prioritized.
  • New skill or agent ideas: describe the use case in an issue and we will review.
  • Security concerns: see SECURITY.md for responsible disclosure.

🛡️ Contributing

The default answer to low-trust contributions is no. That is intentional — cloud automation can break real systems.

Good contributions are: useful, specific, auditable, source-backed, safe by default, and friendly for engineers of any seniority.

See:


Skills  = workflows        🧠   286 across AWS · Azure · OCI · GCP · Alibaba · Huawei · Kubernetes · CNCF · Terraform
Agents  = expert roles     🤖   289 with 7 harness adapters each
Rules   = always-on        📏   harness-specific operating guidance
MCP     = real connections 🔌   AWS · Azure · Oracle official servers
Catalog = searchable index 🗂️   machine-readable, hash-verified

❤️ Sponsors

Why Sponsor

Vanguard Frontier Agentic is a free, open-source marketplace of AI skills and agents for cloud operators — built on 70+ certifications across providers and 3 years of real enterprise architecture work across AWS, Azure, and OCI.

No VC funding. No company backing. One engineer, building in public.

In two weeks on npm: ~900 downloads. Socket.dev scores: Vulnerability 100, Quality 100, License 100. Every release ships through 17 validation gates, adversarial security audits, and property-based fuzz tests.

Your sponsorship directly funds the compute, API time, and research hours that turn new cloud providers, compliance frameworks, and security patterns into production-ready agents — free for everyone.

Current catalog: 680 agents · 703 skills · 45 cloud/platform providers


What Your Sponsorship Funds

Every dollar maps to something concrete:

  • New cloud provider suites — each provider costs ~8–12 hours of research, agent design, security audit, and validation across 17 gates
  • Compliance coverage — GDPR, MLPS 2.0, FedRAMP, ISO 27001, SOC 2 mapped into agent guardrails and live-guard hard-stop conditions
  • Security audit cycles — adversarial multi-persona review, fuzz testing, OWASP / LLM Top 10 validation before every merge
  • New harness support — as AI coding tools evolve, agents stay current across Claude Code, Copilot, Codex, Cursor, Gemini, Kiro
  • Infrastructure — npm publishing, CI/CD, OpenSSF Scorecard, SLSA attestations, SBOM signing on every release

Sponsorship Tiers

☕ Cloud Supporter — $5/month

You believe free cloud tooling matters. Your name in the SPONSORS.md wall of thanks. Every contribution keeps the lights on.


🛡️ Agent Backer — $15/month

You use the agents and want to see them grow.

  • Name + link in SPONSORS.md
  • Priority response on GitHub Issues you open
  • Early access to release notes before they go public

🔧 Provider Sponsor — $50/month

You want a specific cloud or compliance gap closed faster.

  • Everything in Agent Backer
  • Vote on the next cloud provider or compliance framework to be added to the roadmap
  • Your GitHub handle credited in the provider README you helped fund

🏗️ Architecture Patron — $100/month

You run cloud workloads and this saves your team real time.

  • Everything in Provider Sponsor
  • One dedicated GitHub Discussion per month — ask me anything about cloud architecture, agent design, or compliance strategy
  • Logo / link in root README (individual or company)

🌐 Enterprise Tier — $500/month

You want coverage your team can rely on.

  • Everything in Architecture Patron
  • Direct input on the quarterly roadmap
  • Priority build of one cloud provider suite or compliance framework per quarter
  • Company logo in root README with featured placement
  • Private Slack / Discord channel access for your team

The Honest Version

This project is built in the hours before and after a full-time architecture role. Sponsorship doesn't make me rich — it covers API costs, compute time, and the research hours that keep the catalog growing past what I could sustain alone.

If you've installed the package, opened an agent, or just found value in knowing this exists — thank you. That's already enough.

If you want to accelerate it: https://github.com/sponsors/VincentChuWaiChow


🤝 Community Projects

Projects built on, inspired by, or extending the Vanguard Frontier Agentic marketplace:

Project Description
(your project here) Built something with VFA? Open a PR to add it to this list.

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Curated marketplace of AI skills, agents, and rules for cloud, zero-trust, and compliance-aware engineering - works with Claude Code, Codex, Cursor, Copilot, and more.

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