🔍 Agentic Workflow Audit Report - 2025-10-21 (Evening)

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🔍 Agentic Workflow Audit Report - 2025-10-21 (Evening)

📊 Audit Summary

• Period: Last 24 hours (2025-10-20 03:53 - 2025-10-21 03:53 UTC)
• Runs Analyzed: 50 (timeout reached - more runs may exist)
• Workflows Active: 15 different workflows
• Success Rate: 74% (37 successful, 11 failed, 2 cancelled)
• Health Status: ⚠️ MODERATE - High failure rate in Tidy workflow
• Total Duration: 3.8 hours
• Total Tokens: 18,594,745
• Total Cost: $13.01
• Total Turns: 1,031
• Issues Found: 1 critical workflow issue, 1 missing tool request

🔴 Critical Issues

1. Tidy Workflow Failures (CRITICAL)

Severity: 🔴 CRITICAL

The Tidy workflow has a 79% failure rate - this is the most significant issue found in this audit.

Statistics:

• Total runs: 14
• Failed: 11
• Cancelled: 2
• Successful: 1
• Failure rate: 79%

Root Cause: Detection job failed with exit code 1

Affected Runs:

• Run #2132 - failed
• Run #2128 - failed
• Run #2126 - failed
• Run #2125 - failed
• Run #2119 - failed
• Run #2120 - failed
• Run #2118 - failed
• Run #2114 - failed
• Run #2124 - cancelled
• Run #2123 - cancelled
• Only 1 success: Run #2116

Recommendation:

1. Immediate action required - Review the Tidy workflow configuration
2. Examine the detection job to understand why it's consistently failing
3. Check recent code changes that may have broken the workflow
4. Consider temporarily disabling the workflow if it's blocking other operations

⚠️ Moderate Issues

2. Dev Hawk Workflow Failures

Severity: ⚠️ MODERATE

Statistics:

• Total runs: 7
• Failed: 3
• Successful: 4
• Failure rate: 43%

Affected Runs:

• Run #10 - failed
• Run #9 - failed

Recommendation: Investigate failed runs to identify common error patterns.

3. High Error Counts in Successful Runs

Several workflows completed successfully but reported unusually high error counts:

Workflow	Run ID	Errors	Warnings	Conclusion
Agentic Workflow Audit Agent	18671605535	129	29	✅ success
Lockfile Statistics Analysis	18671806802	102	17	✅ success
Changeset Generator	18671833196	72	13	✅ success

Analysis: These workflows are completing successfully despite high error counts, suggesting the errors are non-critical or being handled gracefully. However, this many errors indicates opportunities for improvement.

Recommendation: Review error logs to determine if errors can be reduced or if logging can be improved to reduce noise.

🔧 Missing Tools

1. create-agent-task

Severity: 🟡 LOW

• Count: 1 request
• Workflows: Dev
• Run ID: 18658117709
• Reason: "Need to create a GitHub Copilot agent task with a 3-word poem: 'Code dreams flow'"
• Assessment: This appears to be a specialized tool request, likely not a critical missing tool

Status: LOW_PRIORITY - Monitor for additional requests

💰 Performance Metrics

Cost Analysis

Overall (24 hours):

• Total Cost: $13.01
• Total Tokens: 18,594,745
• Total Turns: 1,031

By Engine:

Claude (20 runs):

• Total Tokens: 14,638,326
• Total Cost: $10.42
• Average per run: 731,916 tokens / $0.52
• Assessment: ✅ Reasonable cost per run

Copilot (24 runs):

• Token usage not tracked
• More runs than Claude but individual cost data unavailable

Codex (0 runs):

• No activity in this period

Duration Analysis

• Total Duration: 3.8 hours across all runs
• Longest Runs:
  • Dev (copilot): 21.2 minutes
  • Agentic Workflow Audit Agent: 17.6 minutes
  • Agentic Workflow Audit Agent: 11.3 minutes

🔨 Tool Usage Highlights

Most Used Tools (24 hours):

Tool	Calls	Runs	Notes
github	239	17	Heavy GitHub API usage
TodoWrite	114	20	Good task tracking
Read	90	25	Extensive file reading
safe_outputs	44	15	Safe output operations
Write	28	19	File writing

gh-aw MCP Tool Usage:

• audit: 26 calls across 6 runs
• logs: 12 calls across 6 runs
• status: 6 calls across 6 runs

Assessment: ✅ Tool coverage is excellent - only 1 missing tool request in 50 runs

📈 Workflow Activity

Most Active Workflows (by run count):

1. Copilot Tidy - 14 runs (⚠️ 79% failure rate)
2. Changeset Generator - 13 runs (✅ 85% success rate)
3. Dev - 9 runs (✅ 78% success rate)
4. Dev Hawk - 7 runs (⚠️ 43% failure rate)
5. Agentic Workflow Audit Agent - 6 runs (✅ 100% success rate)

📊 Comparison with Previous Audit

Morning Audit (2025-10-21 01:19 UTC):

• Success Rate: 100%
• Failed Runs: 0
• Health Status: EXCELLENT

Evening Audit (2025-10-21 03:53 UTC):

• Success Rate: 74% (↓ 26%)
• Failed Runs: 13 (↑ 13)
• Health Status: MODERATE

Analysis: The morning audit showed excellent health with 100% success rate. The evening audit shows significant degradation, primarily due to Tidy workflow failures that began occurring throughout the day. This suggests something changed between the morning and evening that broke the Tidy workflow.

🎯 Recommendations

Priority 1: CRITICAL

Issue: Tidy workflow 79% failure rate

Actions:

1. ✅ Investigate Tidy workflow immediately - this is blocking normal operations
2. ✅ Review error logs from failed runs to identify root cause
3. ✅ Check git history for changes that may have broken the workflow
4. ✅ Consider rolling back recent changes if they caused the issue
5. ✅ If investigation takes time, consider temporarily disabling the workflow

Priority 2: MODERATE

Issue: Dev Hawk workflow 43% failure rate

Actions:

1. Review failed Dev Hawk runs for common error patterns
2. Verify workflow configuration is correct
3. Test manually to reproduce failures

Priority 3: LOW

Issue: High error counts in successful runs

Actions:

1. Review error patterns in workflows that complete successfully but report 72-129 errors
2. Determine if errors are actionable or just noise
3. Consider improving error handling or filtering noisy errors

💾 Audit Data Storage

All audit data has been saved to cache memory for trend analysis:

• Audit Summary: /tmp/gh-aw/cache-memory/audits/2025-10-21-evening.json
• Missing Tools: /tmp/gh-aw/cache-memory/patterns/missing-tools.json (updated)
• Error Patterns: /tmp/gh-aw/cache-memory/patterns/errors.json (updated)
• Raw Logs: /tmp/gh-aw/aw-mcp/logs/ (50 workflow runs)

🔄 Next Steps

1. ✅ CRITICAL: Investigate and fix Tidy workflow failures
2. ⚠️ Monitor Dev Hawk workflow for continued failures
3. 📊 Continue daily audits to track improvement
4. 🔍 Review high error counts in successful runs to reduce noise

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Note: This audit processed 50 workflow runs before reaching the timeout limit. There may be additional runs from the 24-hour period that were not analyzed. The continuation parameters are available if needed for a more comprehensive analysis.

Audit Timestamp: 2025-10-21T03:53:50Z
Agent: Claude (Agentic Workflow Audit Agent)
Run ID: 18672321821

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.