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

[github-actions[bot]]

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

Executive Summary

This audit analyzed 20 workflow runs from the last 24 hours. The system maintains good health with a 90% success rate, showing a slight regression from the morning audit's perfect 100% performance. One workflow failure and several MCP timeout errors were identified.

Audit Statistics

• Period: Last 24 hours (recent activity)
• Runs Analyzed: 20
• Workflows Active: 11 distinct workflows
• Success Rate: 90% (18 successful, 1 failed, 1 cancelled, 1 in progress)
• Issues Found: 4 distinct issue types

Performance Metrics

Metric	Value
Total Duration	1.7 hours
Total Tokens Used	10,979,147
Total Cost	$6.89
Average Cost per Run	$0.34
Total Turns	528
Total Errors Detected	293
Total Warnings	89
Missing Tools	1

Engine Distribution

Engine	Runs	Percentage
Copilot	10	53%
Claude	9	47%
Codex	0	0%

Critical Findings

🔴 Failed Workflows

1. Tidy Workflow Failure (Run #18669980853)

• Status: ❌ Failed
• Primary Issue: Detection job failed with exit code 1
• Error Count: 6 errors, 3 warnings
• Impact: Code tidying and formatting workflow unable to complete
• Root Cause: The detection job (threat detection validation) failed during Copilot CLI execution
• URL: https://github.com/githubnext/gh-aw/actions/runs/18669980853

Error Details:

• Process completed with exit code 1 in detection job
• Multiple "not found" errors in log parsing steps
• Permission denied warnings in agent log validation

Job Status Breakdown:

• ✅ pre_activation: Success
• ✅ activation: Success
• ✅ agent: Success
• ❌ detection: Failed
• ⏭️ Subsequent jobs skipped

🟡 Cancelled Workflows

1. Tidy Workflow Cancelled (Run #18633855822)

• Status: Cancelled
• Error Count: 6 errors, 4 warnings
• Duration: 5.2 minutes before cancellation

Issues Identified

1. Missing Tools

Tool	Count	Workflows	Status
run_python_query (python-code-interpreter MCP)	1	Dev	🟡 Under Evaluation

Details:

• Run ID: 18635648039
• Reason: Task requires Python execution via MCP server but tool is not available. Bash execution is blocked.
• First Requested: 2025-10-19
• Recommendation: Evaluate if python-code-interpreter MCP server should be added to support Python task execution in Dev workflow

2. MCP Server Failures

GitHub MCP Server Timeout Errors

• Server: github
• Error: MCP error -32001: Request timed out
• Occurrences: 2
• Affected Workflow: Agentic Workflow Audit Agent (Run #18669588678)
• Severity: 🟡 Medium

Additional MCP Issue:

• Error: "No such tool available: mcp__github__list_workflow_runs"
• Affected Workflow: Agentic Workflow Audit Agent
• Note: Tool appears to be missing or not properly registered

3. Permission Issues

Pattern: "Permission denied and could not request permission from user"

• Count: 3 occurrences
• Affected Workflow: Tidy
• Location: Agent log validation step
• Severity: 🟢 Low

Affected Workflows

Most Active Workflows (Last 24 Hours)

Workflow	Runs	Status Summary
Tidy	6	4 success, 1 failed, 1 cancelled
Dev	4	All successful
Agentic Workflow Audit Agent	3	2 success, 1 in progress
Changeset Generator	2	All successful
Documentation Unbloat	1	Success
Security Fix PR	1	Success
Copilot Agent PR Analysis	1	Success
Dev Hawk	1	Success
Smoke Claude	1	Success
Smoke Copilot	1	Success

Recommendations

🔴 Priority: HIGH

1. Investigate Tidy Workflow Detection Job Failure

• Issue: Detection job failing with exit code 1
• Action:
  • Review the detection job logs to identify root cause of failure
  • Check Copilot CLI execution and threat detection validation steps
  • Verify that all required dependencies and configurations are in place
  • Consider adding more detailed error logging to the detection step
• Impact: Prevents code tidying and formatting workflows from completing

🟡 Priority: MEDIUM

2. Address MCP Timeout Errors

• Issue: GitHub MCP server experiencing timeout errors
• Action:
  • Review MCP server timeout configuration and increase if needed
  • Monitor MCP server performance and response times
  • Consider implementing retry logic for transient timeout errors
  • Investigate if specific API calls are causing timeouts
• Impact: Audit workflow experiencing intermittent failures when querying GitHub data

3. Evaluate Python Code Interpreter MCP Addition

• Issue: Dev workflow requesting python-code-interpreter MCP server
• Action:
  • Assess the frequency and importance of Python execution needs in Dev workflow
  • Evaluate adding python-code-interpreter MCP server if Python tasks are common
  • Consider alternative approaches if Python execution is rare
• Impact: Some Dev workflow tasks may not be completable without Python execution capability

🟢 Priority: LOW

4. Review Permission Configuration

• Issue: Multiple permission denied warnings in Tidy workflow
• Action:
  • Review and document permission requirements for detection job
  • Verify that all necessary permissions are granted
  • These warnings may be cosmetic and not affecting functionality
• Impact: Minor - warnings don't appear to block workflow completion

Historical Context

Comparison with Previous Audit (Morning - 2025-10-21)

Metric	Morning	Afternoon	Change
Success Rate	100%	90%	📉 -10%
Failed Runs	0	1	📈 +1
Missing Tools	0	1	📈 +1
Runs Analyzed	62	20	Different sample

Analysis:

• Morning audit showed perfect 100% success rate across 62 runs
• Afternoon audit reveals a slight regression with one Tidy workflow failure
• Python interpreter MCP request has reappeared (was resolved in morning audit)
• MCP timeout errors are a new issue not present in morning audit

Trend Summary

Positive Trends:

• Overall system health remains good (90% success rate)
• Most workflows operating normally
• No widespread systemic issues
• Active development continues with 11 different workflows executing

Concerns:

• Tidy workflow experiencing issues (1 failure, 1 cancellation)
• MCP timeouts affecting audit workflow reliability
• Some tools requested but not available

Tool Usage Analysis

Top tools used across analyzed runs:

1. github - 362 calls (9 runs)
2. TodoWrite - 57 calls (8 runs)
3. Read - 33 calls (8 runs)
4. safe_outputs - 25 calls (9 runs)

Next Steps

Immediate Actions (Next 24 Hours)

• Investigate root cause of Tidy workflow detection job failure
• Monitor for additional Tidy workflow failures or patterns
• Review MCP timeout configuration and logs
• Verify github MCP tool availability and registration

Short-term Actions (Next Week)

• Evaluate adding python-code-interpreter MCP server
• Implement enhanced error logging for detection jobs
• Consider adding retry logic for MCP timeout scenarios
• Document detection job permission requirements

Monitoring Focus

• Track Tidy workflow success rate over next runs
• Monitor MCP timeout frequency and patterns
• Watch for additional missing tool requests
• Observe if detection job issues are reproducible

Conclusion

The agentic workflow system maintains good overall health with a 90% success rate. While slightly down from the morning's perfect performance, this represents normal operational variance rather than systemic issues.

Key Takeaway: The primary concern is the Tidy workflow's detection job failure. This should be investigated promptly as it affects code quality maintenance. MCP timeout errors are secondary but should be monitored to ensure they don't become more frequent.

System Status: 🟢 OPERATIONAL - Good health with minor issues to address

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Audit completed by Agentic Workflow Audit Agent
Report generated: 2025-10-21T01:42:00Z
Next scheduled audit: 2025-10-22T00:00:00Z

AI generated by Agentic Workflow Audit Agent

[github-actions[bot]]

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