DeepReport Intelligence Briefing - 2026-01-08

[github-actions[bot]]

🔍 Executive Summary

Copilot-heavy workflows remain structurally healthy (95/100) with 123/123 lockfiles current and 72% GitHub MCP adoption, but runtime visibility is blocked by missing GH_TOKEN in metrics collectors. Cost and reliability risks cluster around a few hotspots: smoke suites and example workflows drive most of the 82.6M tokens/$247 over the last 30 days, safe-outputs are failing 26% of the time due to missing missing_tool handlers, and firewall blocks sit at 26.4% with GitHub/npm/pypi requests still denied. Issue backlog is light (15 open of 227 in last week) and creation/closure is balanced.

Full Report

📊 Pattern Analysis

• Positive: 123/123 workflows compile cleanly; 94% use tools and 72% use GitHub MCP; structural quality scored 95/100.
• Concerning: Safe-outputs success only 73.7% because missing_tool handler is absent in smoke-claude, smoke-codex, daily-cli-performance; firewall still blocks 26.4% of requests (GitHub + package registries dominate), and token spend is concentrated in smoke suites plus costly examples.
• Emerging: Schema enforcement gaps (port, retention-days) resurfaced despite existing helpers; 27 workflows still omit explicit engines; runtime metrics blocked by missing GH_TOKEN prevents behavioral trends.

📈 Trend Intelligence

• Tokens/cost (30d): 82,566,236 tokens (~$247.70) across 210 runs; avg 393K tokens/$1.18 per run. Top consumers: Smoke Copilot No Firewall 8.3M, Issue Monster 7.1M; per-run cost hotspots: Custom Error Patterns $7.10/run, CI Cleaner $5.93/run, Great Escapi $5.07/run. Missing tools: 21 across 6 workflows (14 in Smoke Copilot Playwright). Errors: 16 across 7 workflows.
• Firewall: 477 requests analyzed; 351 allowed (73.6%), 126 blocked (26.4%). Top blocked: github.com (14), api.github.com (8), registry.npmjs.org (8), pypi.org (6), analytics.google.com (9), linkedin.com/facebook.com (6 each). Charts skipped because pandas/matplotlib/seaborn are not installed.
• Safe outputs: 56 ops; success 73.7%. missing_tool handler 0/5 success; create_issue/add_comment/add_labels 100%.
• Workflow structure: Engines split Copilot 52% / Claude 20% / Codex 6% / unspecified 22%; 67% of workflows scheduled around 9am UTC (potential congestion); GH_TOKEN missing blocks runtime KPI collection.
• Issues (last 7d cache): 227 total; 15 open / 212 closed; 31 unlabeled (2 open). Last 3d created 54 vs closed 54. Top labels: ai-generated 107, plan 107, enhancement 55, documentation 35, refactoring 35.

🚨 Notable Findings

• Safe-outputs failures cluster to one config gap: missing_tool handler absent in 3 workflows causing all 5 failures in the last day.
• Firewall block rate steady at ~26% with GitHub/npm/pypi still blocked; reporters also missing Python plotting deps.
• Schema/range validation missing for sandbox.mcp.port and cache-memory.retention-days, enabling invalid values despite schema constraints.
• Runtime metrics, success rates, and behavior trends remain invisible until GH_TOKEN is provided to metrics collectors.

🔮 Predictions & Recommendations

• Expect continued token concentration and missing-tool noise until smoke suites and example workflows are optimized or throttled.
• Firewall block rate will stay elevated until GitHub/npm/pypi are allowed via MCP/allowlists; installing plotting deps will restore charts.
• Fixing GH_TOKEN will unlock behavioral analytics and let Agent Performance score execution, not just structure.
• Add range validation where schema declares bounds to prevent silent misconfigurations (ports, retention days).

✅ Actionable Agentic Tasks (Quick Wins)

Task 1: Add missing_tool handler to smoke suites

• Description: Update safe-outputs in smoke-claude.md, smoke-codex.md, and daily-cli-performance.md to include missing_tool: { max: 5 } so missing-tool reports stop failing.
• Expected Impact: Raise safe-output success from 73.7% to ~100% for these runs; prevents lost diagnostics.
• Suggested Agent: Safe Output Health Monitor / workflow authoring agent
• Estimated Effort: Fast (<30 min)

Task 2: Enforce schema ranges for port and retention

• Description: Add validateIntRange calls for sandbox.mcp.port (1–65535) and cache-memory.retention-days (1–90) in the Go runtime to match schema declarations.
• Expected Impact: Eliminates invalid configs that can break MCP binds or cache retention; aligns runtime with schema.
• Suggested Agent: Codex/Go maintenance agent
• Estimated Effort: Quick (<1 hour)

Task 3: Unblock runtime metrics collection

• Description: Provide GH_TOKEN: ${{ github.token }} and actions: read perms to metrics-collector and agent-performance analyzer so they can fetch run stats; re-run to populate behavioral baselines.
• Expected Impact: Restores visibility into success rates, errors, and efficiency, enabling real trend tracking.
• Suggested Agent: Workflow health manager
• Estimated Effort: Quick (<1 hour)

📚 Source Attribution

• Discussions: Daily Copilot Token Consumption Report 📊 Daily Copilot Token Consumption Report - 2026-01-08 #9339 (run §20814641453); Daily Firewall Report 🔥 Daily Firewall Report - January 8, 2026 #9348 (run §20817119191); Safe Output Health Report 🏥 Safe Output Health Report - January 7, 2026 #9282 (run §20799771208); Schema Consistency Audit [Schema Consistency] Constraint Coverage Audit: Critical Enforcement Gaps Found #9285; Agent Performance Report Agent Performance Report - Week of January 8, 2026 #9312.
• Issues data: /tmp/gh-aw/weekly-issues-data/issues.json (last 7 days).
• Repo memory baseline: updated known_patterns.md, trend_data.md, flagged_items.md on 2026-01-08.

References: §20814641453, §20817119191, §20799771208

AI generated by DeepReport - Intelligence Gathering Agent

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-01-15T15:16:02.876Z.