🔍 Agentic Workflow Audit Report - November 17, 2025

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This audit report analyzes all agentic workflow runs from the last 24 hours (November 16-17, 2025), covering 57 workflow executions across multiple workflows.

Executive Summary

The audit reveals healthy workflow performance with an 89.5% success rate and no critical infrastructure issues. All required tools and MCP servers are functioning correctly, with no missing tool reports or MCP failures detected.

Key Highlights:

• 57 total workflow runs analyzed
• 51 successful runs (89.5%)
• 4 failed runs requiring investigation
• 19.67M tokens consumed (~$14.76)
• Zero missing tools or MCP server failures
• Average 10.3 turns per workflow execution

Full Audit Report

📊 Audit Statistics

Overall Performance

• Analysis Period: Last 24 hours (Nov 16-17, 2025)
• Total Runs: 57
• Successful Runs: 51 (89.5%)
• Failed Runs: 4 (7.0%)
• Other Conclusions: 2 (3.5%)

Resource Consumption

• Total Tokens: 19,670,913
• Total Cost: $14.76
• Average Tokens per Run: 345,105
• Average Cost per Run: $0.26
• Average Turns: 10.3

Error Analysis

• Total Error Logs: 838
• Critical Errors: 0
• Missing Tools: 0
• MCP Failures: 0

📈 Workflow Health Trends

Success/Failure Patterns

The chart shows workflow execution patterns over the past 3 days. The success rate has been consistently high (>85%), with November 16 showing peak activity (30 runs). The few failures are isolated incidents rather than systemic issues.

Token Usage & Costs

Token consumption peaked on November 16 (~9.3M tokens, $6.85), correlating with increased workflow activity. Current spending trends indicate approximately $4.92/day average across the 3-day period, which is within expected operational costs for agentic workflows.

🔝 Top Active Workflows

Workflow Name	Total Runs	Success	Failure	Success Rate
Go Pattern Detector	10	10	0	100%
Tidy	7	7	0	100%
Plan Command	3	3	0	100%
Smoke Claude	3	3	0	100%
Smoke Codex	3	3	0	100%
Smoke Copilot	3	3	0	100%
CLI Version Checker	2	2	0	100%
Copilot Session Insights	2	2	0	100%
Changeset Generator	2	2	0	100%
Q	1	1	0	100%

Analysis: The top 10 workflows show excellent reliability with 100% success rates. The Go Pattern Detector is the most active workflow with 10 executions, all successful.

❌ Failed Workflow Runs

Four workflows failed during the audit period:

Run ID	Workflow Name	Error Count	URL
19401328339	Daily Documentation Updater	18	§19401328339
19403300645	Copilot PR Prompt Pattern Analysis	55	§19403300645
19403960011	Documentation Noob Tester	1	§19403960011
19411965851	Duplicate Code Detector	0	§19411965851

Observations:

• Copilot PR Prompt Pattern Analysis had the highest error count (55), indicating potential issues with data processing or API calls
• Daily Documentation Updater encountered 18 errors, possibly related to file operations or documentation generation
• Documentation Noob Tester failed with only 1 error, likely a simple fix
• Duplicate Code Detector failed with no logged errors, suggesting a timeout or infrastructure issue

✅ Missing Tools Analysis

Result: No missing tools reported during the audit period.

All workflows have access to the required tools through the configured MCP servers and built-in tools. This indicates:

• Tool configurations are correct
• MCP servers are properly configured
• No new tool requirements have emerged

🔌 MCP Server Health

Result: No MCP server failures detected.

All MCP servers are functioning correctly:

• gh-aw MCP server: Operational (verified via status and logs commands)
• github MCP server: Operational (used by multiple workflows)
• safeoutputs MCP server: Operational (asset uploads successful)

📊 Tool Usage Statistics

Based on the audit, the most frequently used tools across workflows:

• TodoWrite: High usage for task tracking (as expected)
• Read/Glob/Grep: Frequent file operations
• Bash: Command execution for builds and tests
• GitHub API tools: Repository interactions

🔍 Error Pattern Analysis

Out of 838 logged errors:

• Majority are non-critical: Most errors are informational logs from workflow execution
• No systemic patterns: Errors are distributed across different workflows
• Failed runs account for most critical errors: The 4 failed workflows contain the actionable errors

📊 Historical Context

This is the first systematic audit using the new audit agent infrastructure. Future audits will provide:

• Week-over-week comparisons
• Trend analysis for success rates
• Cost trajectory predictions
• Pattern recognition for recurring issues

🎯 Recommendations

Immediate Actions (Priority: Medium)

1. Investigate Failed Runs

   • Review §19403300645 (Copilot PR Prompt Pattern Analysis) - 55 errors indicate a deeper issue
   • Check §19401328339 (Daily Documentation Updater) - 18 errors suggest documentation generation issues

2. Monitor Token Usage

   • Current spending: ~$4.92/day average
   • November 16 peak: $6.85 (9.3M tokens)
   • Consider setting alerts for daily costs exceeding $10

Long-term Improvements (Priority: Low)

3. Enhance Error Logging

   • Standardize error reporting across workflows
   • Implement error categorization (critical, warning, info)
   • Add context to error messages for faster debugging

4. Workflow Optimization

   • Review workflows with high turn counts (>15 turns)
   • Identify opportunities to reduce token consumption
   • Consider caching frequently accessed data

5. Monitoring Enhancements

   • Set up alerts for workflow failures
   • Create dashboards for real-time monitoring
   • Implement automated retry logic for transient failures

📈 Success Metrics

The following metrics indicate healthy workflow operations:

✅ 89.5% success rate (target: >85%)
✅ Zero missing tools (target: 0)
✅ Zero MCP failures (target: 0)
✅ Average 10.3 turns (target: <15 for efficiency)
✅ $14.76 total cost (within budget)

🔮 Next Steps

1. ✅ Audit completed: All 57 runs analyzed
2. ⏳ Review failed runs: Manual investigation required
3. ⏳ Update monitoring: Add alerts for failures
4. ⏳ Schedule next audit: Tomorrow at 00:00 UTC

📝 Notes

• This audit is generated automatically by the Agentic Workflow Audit Agent
• Audit data stored in cache memory at /tmp/gh-aw/cache-memory/audits/2025-11-17.json
• Historical trend data collected for past 3 days
• Next audit scheduled for 2025-11-18

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References:

• §19401328339 - Daily Documentation Updater (Failed)
• §19403300645 - Copilot PR Prompt Pattern Analysis (Failed)
• §19403960011 - Documentation Noob Tester (Failed)

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 week ago.