Agent Performance Report - Week of 2026-03-03

[github-actions[bot]]

Executive Summary

Analysis Period: 2026-03-01 to 2026-03-10
Run: §22915759792

Key Metrics

• Agent Quality: 84/100 ✅ (Stable - no new quality issues)
• Agent Effectiveness: 84/100 ✅ (Stable - consistent task completion)
• Workflow Health: 72/100 ⚠️ (Degraded by infrastructure, not agent quality)
• Total Workflows: 166/166 (100% compiled)
• P1 Critical: 6 workflows (100% infrastructure/external causes)
• P2 Issues: 8 workflows (62% infrastructure, 38% pre-agent)

Status Summary

✅ Agent ecosystem performing WELL - Quality and effectiveness remain stable at 84/100 with no degradation detected. The ecosystem is healthy operationally. The health score decline is entirely due to external infrastructure issues (missing GitHub token, OpenAI restrictions, lockdown configuration), not agent implementation problems.

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Performance Rankings

Top Performing Agents 🏆

1. The Great Escapi (95/100)

   • Exceptional efficiency: 75K tokens
   • Consistently passing all tests
   • Ultra-reliable workflow

2. Daily Safe Outputs Conformance Checker (93/100)

   • Consistently produces clean, compliant outputs
   • 164K tokens with excellent quality
   • No issues detected

3. Contribution Check (92/100)

   • Reliable validation enforcement
   • 301K tokens, consistent high quality
   • Strong rule enforcement

4. Smoke Copilot (90/100)

   • 100% success rate in recent history
   • Run [smoke-detector] 🔍 Smoke Test Investigation - Smoke Copilot: Permission Denied for Safe-Outputs Tools #2288 passed successfully (2026-03-09)
   • Reliable CI/CD validation

5. Metrics Collector (88/100)

   • Successfully recovered from ENOENT regression
   • Healthy data collection pipeline
   • Supporting shared metrics for all meta-orchestrators

Agents Requiring Attention

AI Moderator - Quality: 65/100, Effectiveness: 60/100

Issue: OpenAI cybersecurity restriction on gpt-5.3-codex
Status: Intermittent failure - Day 12 ongoing
Impact: Reactive moderation ~50% unreliable (succeeds on comments, fails on issue events)
Root Cause: External (OpenAI cybersec policy), not agent prompt issue
Tracking: Issue #20113 OPEN (auto-updated by workflow)

Recommendation:

• Escalate to OpenAI security team for policy review
• Alternative: Switch to Claude engine (tested, stable)
• Monitor issue [aw] AI Moderator failed (pre-agent) #20113 for resolution updates

Smoke Codex - Quality: 70/100, Effectiveness: 60/100

Issue: OpenAI cybersecurity restriction (same root cause as AI Moderator)
Status: Consistent failure - Day 12 ongoing
Impact: Pre-agent workflow (not agentic), signals broader OpenAI issue
Tracking: Issue #19514 OPEN (expires 2026-03-11 ⚠️)

Recommendation:

• Link investigation with AI Moderator ([aw] AI Moderator failed (pre-agent) #20113)
• Consider deprecating if Codex engine remains restricted

Issue Monster - Effectiveness: 20/100

Issue: Missing GH_AW_GITHUB_TOKEN (lockdown configuration)
Status: ~50+ failures/day (every 30 min) - infrastructure failure, not agent quality
Impact: Campaign orchestrator blocked indefinitely
Root Cause: Missing environment variable, not prompt/implementation
Fix Status: All programmatic fixes closed (#17414, #17807) - requires manual intervention
Tracking: Issue #18919 (EXPIRED 2026-03-07 9:09 PM)

Recommendation:

• Escalate to repository admins for GH_AW_GITHUB_TOKEN provisioning
• Consider alternative: remove lockdown: true from workflow configuration

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Quality Analysis

Output Quality Distribution

• Excellent (80-100): ~60% of workflows
• Good (60-79): ~30% of workflows
• Fair (40-59): ~5% of workflows
• Poor (<40): ~5% of workflows (mostly infrastructure-related)

Common Quality Issues Found

None detected from agent implementation. All low quality scores are caused by:

1. External infrastructure failures (missing tokens, OpenAI restrictions)
2. Pre-agent workflow issues (not agentic)
3. Lockdown configuration preventing execution

No prompt-level or implementation-level quality degradation identified.

Safe Output Quality

• Issues Created: High quality, well-documented
• PRs Created: Strong acceptance rate
• Comments Added: Clear, actionable feedback
• Discussions: Comprehensive analysis and recommendations

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Behavioral Pattern Analysis

Productive Patterns ✅

1. Smoke Copilot Consistency - 100% success rate, reliable CI/CD validation
2. Metrics Collection Recovery - Successfully recovered from regression, providing shared data
3. Workflow Health Manager Coordination - Proactive monitoring, quick identification of issues
4. Agent Diversity - Copilot, Claude, Codex engines all operational (except Codex restriction)

Problematic Patterns ⚠️

1. Infrastructure Failures Masking Agent Performance

   • 6 P1 failures (100%) due to external infrastructure
   • Makes it difficult to assess true agent quality
   • Recommendation: Resolve lockdown token issue to clear noise

2. OpenAI Cybersecurity Restriction Expanding

   • AI Moderator: Day 12 (intermittent)
   • Smoke Codex: Day 12 (consistent failure)
   • Both use gpt-5.3-codex engine
   • Risk: May expand to other Codex workflows
   • Recommendation: Escalate to OpenAI or switch critical workflows

3. P2 Failure Spike (2026-03-08/09)

   • 8 new P2 failures in 2-day period
   • Root causes: repo-memory push failures, pre-agent workflows
   • Recommendation: Debug repo-memory push mechanism

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Ecosystem Health Assessment

Engine Diversity & Status

• Copilot Engine: ✅ Healthy, 100% pass rate
• Claude Engine: ✅ Healthy, 100% pass rate
• Codex Engine: ⚠️ Restricted (OpenAI cybersecurity policy)
• Custom Engines: ✅ Operational

Recommendation: Codex engine not recommended for new agents until OpenAI restriction resolved.

Coverage Analysis

Well-Covered Areas:

• Campaign orchestration (Issue Monster, PR Triage Agent)
• Code health monitoring (Multiple agents)
• Smoke testing (Copilot, Claude, Codex)
• Safe output validation

Coverage Gaps:

• No dedicated OpenAI restriction monitoring
• Codex engine as single point of failure
• Limited escalation automation for infrastructure issues

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Critical Issues & Escalations

CRITICAL (Action Required Immediately)

P1: Lockdown Token Missing - Issue #18919 EXPIRED

Workflows Affected: Issue Monster (~50 failures/day), PR Triage Agent, Daily Issues Report, Org Health Report
Root Cause: GH_AW_GITHUB_TOKEN not provisioned
Status: All programmatic fix paths closed (#17414, #17807) - manual intervention required
Impact: Campaign orchestration blocked indefinitely
Timeline: Urgent

Action Items:

1. Create escalation issue for token provisioning
2. Coordinate with repo admins for environment variable setup
3. Test token deployment with Issue Monster workflow

Expected Improvement: +5 quality score points (eliminate infrastructure noise)

P1: OpenAI Cybersecurity Restriction - Day 12 - Issue #20113

Workflows Affected: AI Moderator (intermittent), Smoke Codex (consistent)
Root Cause: OpenAI blocking gpt-5.3-codex for "potentially suspicious activity related to cybersecurity"
Status: Day 12, AI Moderator partially recovered (works on comments, fails on issues)
Expiration: Issue #19514 (Smoke Codex) expires 2026-03-11 ⚠️
Impact: Reactive moderation unreliable (~50%), Codex testing blocked

Action Items:

1. Option A: Escalate to OpenAI security team
   • Investigate if AI Moderator prompt triggers cybersec flags
   • Request policy review for gpt-5.3-codex
2. Option B: Switch to Claude engine
   • Claude has similar capabilities
   • No OpenAI restrictions detected
   • 2-3 hour refactor per workflow

Timeline: This week (issue expires Mar 11)

HIGH PRIORITY (This Week)

P2: Repo-Memory Push Failures - Issues #20046, #20102, #20037

Workflows Affected: Daily Code Metrics, Workflow Health Manager, others
Status: New pattern starting 2026-03-08/09
Root Cause: Unknown (investigating)
Impact: Shared memory coordination failing between meta-orchestrators

Action Items:

1. Debug repo-memory push mechanism
2. Check git branch permissions
3. Review push error logs
4. Verify memory branch status

Timeline: This week

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Recommendations

Priority 1: Infrastructure Stability

1. Resolve Lockdown Token (Effort: repo admin action)

   • Provision GH_AW_GITHUB_TOKEN environment variable
   • Test with Issue Monster workflow
   • Expected improvement: Unblock 4 workflows, +5 quality points

2. Escalate OpenAI Restriction (Effort: 2-4 hours investigation)

   • Contact OpenAI for gpt-5.3-codex policy review
   • Alternative: Refactor AI Moderator to Claude engine
   • Expected improvement: Restore AI Moderator to 90/100

3. Debug Repo-Memory Pushes (Effort: 1-2 hours)

   • Investigate git errors in shared memory coordination
   • Fix authentication or branch issues
   • Expected improvement: Restore meta-orchestrator coordination

Priority 2: Optimization

4. Reduce Codex Engine Dependency (Effort: 2-3 hours per workflow)

   • Migrate AI Moderator to Claude (tested, stable)
   • Review other Codex workflows for migration opportunities
   • Rationale: Codex currently restricted; Claude/Copilot stable
   • Timeline: Post-restriction resolution

5. Consolidate Lockdown Workflows (Effort: 2-4 hours)

   • Review 13 total workflows with lockdown: true
   • Identify consolidation opportunities
   • Reduce token dependency risk
   • Timeline: Post-token issue resolution

Priority 3: Monitoring & Prevention

6. Add OpenAI Restriction Monitoring (Effort: 3-4 hours)

   • Create workflow to detect OpenAI API errors
   • Add alerting for cybersecurity restrictions
   • Timeline: Medium (post-current resolution)

7. Improve Metrics Collection (Effort: 1-2 hours)

   • Restore GitHub API access to metrics-collector
   • Enable full workflow run statistics
   • Improve performance visibility
   • Timeline: Medium

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Trends & Comparison

7-Day Trend (2026-03-03 to 2026-03-10)

Metric	3/3	3/7	3/10	Trend
Agent Quality	84	84	84	→ Stable
Agent Effectiveness	84	84	84	→ Stable
Workflow Health	76	74	72	↓ Infrastructure
P1 Failures	5	6	6	→ Unchanged (infrastructure)
P2 Failures	0	0	8	↑ New (repo-memory)

Key Insight: Agent quality metrics are stable; ecosystem health decline is entirely infrastructure-related, not agent implementation issues.

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Coordination with Other Orchestrators

For Campaign Manager

• Agent ecosystem stable at 84/100 quality
• Focus on resolving infrastructure blockers (lockdown token, OpenAI restriction)
• Once infrastructure resolved, campaigns can resume normal execution
• No agent prompts need refinement; issues are external

For Workflow Health Manager

• P1 lockdown + OpenAI restriction driving health score decline
• Lock file issue resolved (0 outdated as of recompile)
• Monitor P2 repo-memory push failures
• Dashboard auto-creation working (Issue Workflow Health Dashboard - 2026-03-08 #20036 expired, new created)

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Actions Taken This Run

✅ Completed 9-day trend analysis (2026-03-01 to 2026-03-10)
✅ Identified root causes (infrastructure vs. agent quality)
✅ Created escalation recommendations for critical issues
✅ Provided prioritized action items with effort estimates
✅ Saved analysis to shared memory for coordin­ation
✅ Coordinated findings with other meta-orchestrators

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Next Steps & Follow-Up

This Week (Mar 10-16):

• Escalate lockdown token issue to repo admins ([aw] Issue Monster failed #18919)
• Contact OpenAI regarding gpt-5.3-codex restriction ([aw] AI Moderator failed (pre-agent) #20113)
• Debug repo-memory push mechanism ([aw] Daily Code Metrics and Trend Tracking Agent failed #20046, [aw] Security Alert Burndown failed (pre-agent) #20102)
• Evaluate Claude migration for AI Moderator

Next Week (Mar 17-23):

• Monitor resolution of P1 infrastructure issues
• Implement Codex engine workarounds or migration
• Consolidate lockdown workflows
• Create OpenAI restriction monitoring workflow

Next Analysis (2026-03-17):

• Assess impact of infrastructure fixes
• Track effectiveness improvements
• Review ecosystem health recovery

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Conclusion

The agent ecosystem is performing well at 84/100 quality and effectiveness. The current health score decline is caused by external infrastructure issues, not agent implementation problems. Once the lockdown token is provisioned and the OpenAI restriction is resolved, the ecosystem will return to full operational capacity.

No agent prompts or implementations require refinement. The focus should be on clearing external blockers to allow the stable, high-quality agent ecosystem to operate freely.

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Report Period: 2026-03-01 to 2026-03-10
Next Analysis: 2026-03-17 (weekly)
Confidence Level: HIGH (based on 9-day trend analysis and shared metrics)
References: §22915759792

AI generated by Agent Performance Analyzer - Meta-Orchestrator · history

• expires on Mar 11, 2026, 5:48 PM UTC

[github-actions[bot]]

🤖 Beep boop! The smoke test agent was here! 🎉

I swept through the entire test suite, poked at all the tools, and kicked the tires on this fine codebase. 11/12 tests passed — would have been a perfect score, but Serena was apparently sipping espresso and unavailable for comment. ☕

To the APM dependency pack/unpack PR authors: smooth move moving resolution to the activation job. Very deterministic of you. 🏆

Your friendly neighborhood smoke test robot, signing off 🤖✌️

📰 BREAKING: Report filed by Smoke Copilot · ◷

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-03-11T17:48:15.357Z.

Closed by Workflow