🔍 Agentic Workflow Audit Report - October 20, 2025 (Evening)

[github-actions[bot]]

🔍 Agentic Workflow Audit Report - October 20, 2025 (Evening)

Audit Summary

• Period: Last 24 hours (Oct 19 20:57 - Oct 20 20:57 UTC)
• Runs Analyzed: 9
• Workflows Active: 8 unique workflows
• Success Rate: 77.8% (7 successful, 2 failed)
• Issues Found: 2 post-agent step failures
• Cost (24h): $3.86
• Token Usage: 6,097,861 tokens

✅ System Health: GOOD

Overall system health is good with a 77.8% success rate. This represents a 7.8% improvement from yesterday's audit (70% → 77.8%).

Key Positive Findings:

• ✅ No missing tools reported (0 requests)
• ✅ No MCP server failures
• ✅ Core agent functionality working well
• ✅ 5 workflows completed successfully with valuable outputs:
  • Security Fix PR: Fixed critical security vulnerability (go/unsafe-quoting)
  • Documentation Unbloat: Reduced concurrency.md by 53%
  • Changeset Generator: Generated PR changeset
  • Tidy: Code formatting (2 runs)
  • Dev Hawk: Monitored workflow completion

⚠️ Issues Detected

1. Post-Agent Step Failures (Medium Priority)

Two workflows failed in post-processing steps after successful agent execution:

CLI Version Checker (run-18659303991)

• Agent Status: ✅ Success
• Failed Step: create_issue
• Duration: 4.8m
• Cost: $0.90
• Impact: Agent completed version check successfully but couldn't create issue
• URL: https://github.com/githubnext/gh-aw/actions/runs/18659303991

Dev Workflow (run-18659069287)

• Agent Status: ✅ Success
• Failed Step: create_agent_task
• Duration: 1.6m
• Cost: $0.22
• Impact: Agent completed poem generation but couldn't create agent task output
• URL: https://github.com/githubnext/gh-aw/actions/runs/18659069287

Root Cause Analysis:
These failures suggest an issue with the safe-outputs MCP server or GitHub token permissions for post-processing steps. The agent layer is working correctly, but the workflow orchestration steps are failing.

Recommendation:

• Investigate safe-outputs MCP server configuration
• Verify GitHub token permissions for issue creation and task creation
• Check if these operations require additional scopes

2. False Positive Error Detection (Low Priority)

Workflows reporting 100+ "errors" that are actually successful:

Workflow	Errors Reported	Actual Status	Root Cause
Documentation Unbloat	104	✅ Success	Error patterns matching code content
Security Fix PR	104	✅ Success	Error patterns matching code content

Root Cause: Error detection patterns in validate_errors.cjs are matching JavaScript error handling code (e.g., catch (error), functions with 'error' in their name) rather than actual workflow failures.

Impact: Low - doesn't affect workflow execution, just metrics accuracy

Recommendation: Refine error detection regex patterns to exclude code content and focus on actual workflow errors

📊 Performance Metrics

Cost Analysis

• Total (24h): $3.86
• Average per run: $0.43
• Highest cost: Documentation Unbloat ($1.28, 118 turns, 2.5M tokens)
• Trend: +$0.72 (+23%) from yesterday - expected due to complex documentation and security workflows

Token Usage

Workflow	Tokens	% of Total
Documentation Unbloat	2,525,103	41.4%
Security Fix PR	1,964,605	32.2%
CLI Version Checker	1,128,403	18.5%

Most Efficient Workflows

• Tidy: ~5.3 min average, minimal cost
• Dev Hawk: 2.0 min, monitoring only
• Changeset Generator: 2.4 min, $0.37

🔄 Historical Trends

7-Day Success Rate Trend

• Oct 13: 70%
• Oct 14: 72%
• Oct 15: 68%
• Oct 16: 74%
• Oct 17: 76%
• Oct 19: 70%
• Oct 20: 77.8% ⬆️ Improving

Recurring Issues (from pattern database)

1. Token limit exceeded (Issue Classifier) - First seen Oct 19, still active
2. Invalid reviewer bot ID (Tidy) - First seen Oct 19, still active
3. Post-agent step failures (NEW) - First seen Oct 20

🎯 Recommendations

Priority: MEDIUM

Action Required: Investigate Post-Agent Step Failures

• What: Two workflows failing in create_issue and create_agent_task steps
• Why: Core agent works but post-processing fails
• How:
  1. Review safe-outputs MCP server logs
  2. Verify GitHub token has issues:write permission
  3. Check if create_agent_task requires additional setup
  4. Test manually to reproduce the issue

Priority: LOW

Nice to Have: Refine Error Detection

• What: Update error patterns to reduce false positives
• Why: Currently reporting 100+ errors for successful workflows
• How: Update validate_errors.cjs patterns to exclude code content matches

Priority: LOW

Status: Continue Monitoring

• System health is good and improving
• No critical issues blocking workflow operation
• Core agent functionality is solid

📈 Comparison to Previous Audit

Metric	Oct 19	Oct 20 (Evening)	Change
Success Rate	70%	77.8%	+7.8% ⬆️
Missing Tools	1	0	-1 ⬇️
Cost (24h)	$3.14	$3.86	+$0.72
Failed Workflows	6	2	-4 ⬇️

Notable: Significant improvement in failure rate (6 → 2) and success rate (+7.8%). Cost increase is justified by successful completion of complex workflows.

🎉 Highlights

1. Security Fix PR successfully identified and fixed a critical security vulnerability
2. Documentation Unbloat achieved 53% size reduction with quality improvements
3. Zero missing tool requests - infrastructure is complete
4. Core agent system is working reliably - failures are in orchestration, not agent execution

📝 Next Steps

1. Immediate: Investigate post-agent step failures (safe-outputs configuration)
2. This Week: Refine error detection patterns for accuracy
3. Ongoing: Continue daily audit monitoring

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Audit conducted by: Agentic Workflow Audit Agent (Claude)
Data source: gh-aw MCP server logs
Cache location: /tmp/gh-aw/cache-memory/audits/2025-10-20-evening.json

For detailed log analysis, see run directories in /tmp/gh-aw/aw-mcp/logs/

AI generated by Agentic Workflow Audit Agent

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This discussion was automatically closed because it was created by an agentic workflow more than 1 month ago.