feat(validation): add agent registry parser and validator#1333
feat(validation): add agent registry parser and validator#1333rjmurillo-bot merged 2 commits intomainfrom
Conversation
Parse agent definitions from src/claude/*.md YAML frontmatter and validate against the canonical AGENTS.md catalog. Detects model mismatches, missing required fields, duplicate names, and drift between agent files and the catalog table. Includes 18 tests (unit + integration against real agent files). Fixes #1332 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
|
Codex usage limits have been reached for code reviews. Please check with the admins of this repo to increase the limits by adding credits. |
PR Validation ReportCaution ❌ Status: FAIL Description Validation
QA Validation
|
✅ Pass: Memory ValidationNo memories with citations found. 📊 Validation Details
|
There was a problem hiding this comment.
Code Review
This pull request introduces a valuable validation script for agent definitions, along with a comprehensive test suite. The code is well-structured and the validation logic appears correct. My main feedback focuses on improving the script's robustness by handling file system errors more gracefully, in line with established patterns for diagnosability and partial processing. The suggested changes allow the script to report all issues in a single execution, even when encountering unreadable files, and to fail clearly when critical components are missing.
Spec-to-Implementation ValidationTip ✅ Final Verdict: PASS What is Spec Validation?This validation ensures your implementation matches the specifications:
Validation Summary
Spec References
Requirements Traceability DetailsBased on the issue description provided in the task context and the implementation files, I can now complete the requirements traceability analysis. Requirements Coverage Matrix
Additional Implemented FunctionalityThe implementation exceeds the spec by including validation checks not explicitly required:
Summary
Gaps
Implementation Completeness DetailsNow I have all the context needed to evaluate the implementation against the acceptance criteria. Acceptance Criteria Checklist
Missing FunctionalityNone identified. Both acceptance criteria are fully satisfied. Edge Cases Not Covered
Implementation Quality
Run Details
Powered by AI Spec Validator workflow |
AI Quality Gate ReviewWarning WalkthroughThis PR was reviewed by six AI agents in parallel, analyzing different aspects of the changes:
Review Summary
💡 Quick Access: Click on individual agent jobs (e.g., "🔒 security Review", "🧪 qa Review") in the workflow run to see detailed findings and step summaries. Security Review DetailsSecurity Review: PR #1333PR Category: CODE ( AnalysisFiles reviewed:
Findings
Details:
Security-positive patterns observed:
Recommendations
VerdictQA Review DetailsNow I'll verify test execution and check for any code quality concerns. Based on my file review, I have sufficient evidence to produce the QA verdict. QA Review: PR #1333PR Type ClassificationTest Coverage Assessment
Quality Concerns
Code Quality Metrics
Test-Implementation Alignment
Error Handling Verification
Regression Risk Assessment
Analyst Review DetailsLet me check the local repository for the PR files since the API call indicates a different repo owner. Let me check the existing validation scripts for pattern consistency and examine the directory structure. Now I have sufficient context to complete the analysis. Let me compile my findings. Analysis: PR #1333 - Agent Registry Parser and ValidatorCode Quality Score
Overall: 4.5/5 Impact Assessment
Findings
Detailed AnalysisCode QualityPositive patterns observed:
Minor improvements available:
Test QualityCoverage: 18 tests (15 unit, 3 integration) covering:
Integration tests: Wisely marked with Minor observation: The assertion Architectural AlignmentThe implementation follows established patterns in
The new script aligns with existing validation infrastructure. Dependencies
The dependency on Recommendations
VerdictArchitect Review DetailsNow I have sufficient context to complete the architectural review. Architect Design Review: PR #1333Design Quality Assessment
Overall Design Score: 4/5 Architectural Concerns
Breaking Change Assessment
Technical Debt Analysis
ADR Assessment
Recommendations
Structural AssessmentThe file placement in VerdictDevOps Review DetailsBased on my review of the changed files, I can now provide the DevOps assessment. DevOps Review: PR #1333PR Scope Detection
Classification: CODE PR (validation script + tests). No workflow, action, or infrastructure changes. Pipeline Impact Assessment
CI/CD Quality Checks
Code Review (Build/Test Impact)
Findings
Automation Opportunities
Recommendations
Roadmap Review DetailsBased on my review of the PR changes and the product roadmap, I can now provide the strategic alignment assessment. Strategic Alignment Assessment
Feature Completeness
Impact Analysis
Concerns
Recommendations
VerdictRun Details
Powered by AI Quality Gate workflow |
|
Caution Review failedFailed to post review comments 📝 WalkthroughWalkthroughAdds a new CLI script to parse YAML frontmatter from Changes
Sequence Diagram(s)sequenceDiagram
participant CLI as CLI (user)
participant Parser as Agent Parser
participant Catalog as Catalog Loader
participant Validator as Validator
participant Reporter as Reporter
CLI->>Parser: read agent markdown files from `src/claude/`
CLI->>Catalog: read `AGENTS.md`
Parser->>Parser: extract YAML frontmatter -> AgentDefinition[]
Catalog->>Catalog: parse agents table -> CatalogEntry[]
CLI->>Validator: provide AgentDefinition[], CatalogEntry[]
Validator->>Validator: run checks (required fields, allowed models, duplicates, mismatches)
Validator->>Reporter: produce ValidationResult (ok / errors / warnings)
Reporter->>CLI: print results (text or JSON) and set exit code
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Suggested reviewers
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches
🧪 Generate unit tests (beta)
Comment |
Address review feedback from gemini-code-assist: - parse_agent_files now catches OSError per file and continues processing, returning errors alongside parsed agents - main() wraps parse_catalog in try/except OSError, exiting with code 2 on unreadable catalog - Add test for unreadable file error collection Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Summary
scripts/validation/agent_registry.py) that reads agent definitions from YAML frontmatter in the agent markdown directory and checks them against the canonical catalog tabletests/test_agent_registry.pyFixes #1332
Test plan