🔍 Agentic Workflow Audit Report - November 10, 2025

[github-actions[bot]]

🔍 Agentic Workflow Audit Report - November 10, 2025

This audit analyzed 100 workflow runs from the last 24 hours (November 6-10, 2025), identifying 13 failures, 2 missing tool requests, and 2 MCP server failures. The overall system maintains an 82% success rate with a total cost of $25.55 and 34.7M tokens consumed.

📈 Workflow Health Trends

Success/Failure Patterns

The workflow health trends show strong performance over the past 5 days, with success rates consistently above 80%. The peak successful runs occurred on November 9th, indicating high workflow activity. The lower panel shows the success rate percentage hovering around the 80-85% range, which is healthy but could be improved by addressing the recurring failures identified below.

Token Usage & Costs

Token usage shows significant daily variation, with November 9th showing the highest consumption at 11.6M tokens ($9.54). The moving average indicates a stable cost trend, averaging around $5 per day. This variation correlates with workflow activity levels and the complexity of tasks being performed.

Full Audit Details

Audit Summary

• Period: Last 24 hours (November 6-10, 2025)
• Runs Analyzed: 100
• Workflows Active: 29 distinct workflows
• Success Rate: 82.0%
• Total Cost: $25.55
• Total Tokens: 34,685,220
• Average Cost per Run: $0.26
• Average Tokens per Run: 346,852

Run Status Breakdown

• Successful Runs: 82
• Failed Runs: 13
• Cancelled Runs: 5
• Other: 0

Engine Distribution

While engine detection based on workflow names shows most workflows as "unknown", the configured workflows use:

• Claude: Used for audit, documentation, and analysis workflows
• Copilot: Primary engine for most command-driven and scheduled workflows
• Codex: Used for duplicate code detection and smoke tests

Missing Tools

Two tool requests were identified that could not be fulfilled:

Tool Name	Request Count	Workflows Affected	Reason
Python pip and visualization libraries (pandas, matplotlib, seaborn)	1	Daily Firewall Logs Collector and Reporter	Required for generating firewall activity trend charts as specified in the workflow instructions
agentic-workflows MCP server logs tool	1	Daily Firewall Logs Collector and Reporter	Need to collect firewall-enabled workflow runs for analysis. The gh CLI is not available in this environment.

Analysis

Both missing tool requests came from the Daily Firewall Logs Collector and Reporter workflow. This workflow appears to be encountering limitations in:

1. Python environment setup - The visualization libraries (pandas, matplotlib, seaborn) should now be available as they have been added to the environment
2. MCP server access - The workflow needs access to the gh-aw MCP server logs tool which is now configured

Recommendation: These issues should be resolved as the Python scientific libraries are now installed and the gh-aw MCP server is configured. Future runs of this workflow should succeed.

MCP Server Failures

Two MCP server connection failures were detected:

Server Name	Failure Count	Workflows Affected	Run IDs
deepwiki	1	Scout	§19195874302
context7	1	Scout	§19195874302

Analysis

Both MCP server failures occurred in the same Scout workflow run. This indicates that the Scout workflow has external dependencies on:

• deepwiki: Likely a deep learning or knowledge base search tool
• context7: Possibly a context retrieval or semantic search service

Recommendation:

1. Verify that the deepwiki and context7 MCP servers are properly configured in the Scout workflow
2. Check if these services require authentication or have connectivity requirements
3. Consider adding fallback behavior or error handling for when these external services are unavailable

Failed Workflow Runs

Detailed Failure Analysis

Workflow	Runs	Run IDs	Status
PR Nitpick Reviewer 🔍	2	§19147803808, §19157130316	Failed
Duplicate Code Detector	2	§19181082887, §19214375925	Failed
Copilot PR Prompt Pattern Analysis	2	§19190939539, §19206249217	Failed
Scout	1	§19195874302	Failed (MCP failures)
Artifacts Summary	1	§19204353437	Failed
Documentation Unbloat	1	§19215110501	Failed
Changeset Generator	1	§19215655506	Failed

Smoke Test Failures

All three smoke test workflows failed in the same run series:

• Smoke Codex: §19215655479
• Smoke Claude: §19215655480
• Smoke Copilot: §19215655495

These appear to be part of a scheduled smoke test run that encountered issues.

Recurring Failure Patterns

1. PR Nitpick Reviewer - Failed 2 times, suggesting a potential issue with PR analysis or review comment generation
2. Duplicate Code Detector - Failed 2 times, possibly due to code analysis complexity or timeout issues
3. Copilot PR Prompt Pattern Analysis - Failed 2 times, may be encountering issues with PR data collection or pattern extraction

Performance Metrics

Top 10 Most Expensive Runs

Rank	Workflow	Cost	Tokens	Run ID
1	Go Pattern Detection	$4.27	4,001,700	§19191429388
2	Daily Repository Chronicle	$2.91	5,108,286	§19206258857
3	Artifacts Summary	$2.49	1,249,596	§19170087570
4	Copilot PR Prompt Pattern Analysis	$1.76	1,686,036	§19206249217
5	Copilot Session Insights	$1.52	744,776	§19181061618
6	Daily Firewall Logs Collector and Reporter	$1.27	1,207,914	§19206855465
7	Artifacts Summary	$1.24	617,100	§19204353437
8	Copilot Agent Analysis	$1.19	583,086	§19215695859
9	Example Workflow Analyzer	$1.18	1,127,118	§19170102453
10	Documentation Unbloat	$1.08	2,124,906	§19123066025

Cost Analysis

The most expensive workflow was Go Pattern Detection at $4.27, which processed over 4M tokens. Analysis and reporting workflows tend to be more expensive due to their comprehensive data collection and processing requirements.

Recommendations

High Priority

1. Investigate Recurring Failures

   • PR Nitpick Reviewer: Review the workflow logs for runs §19147803808 and §19157130316 to identify the root cause
   • Duplicate Code Detector: Examine timeout settings and code complexity handling for runs §19181082887 and §19214375925
   • Copilot PR Prompt Pattern Analysis: Check data collection and pattern extraction logic

2. Fix Smoke Test Issues

   • The simultaneous failure of all three smoke tests (§19215655479, §19215655480, §19215655495) suggests a systemic issue, possibly with the test environment or a shared dependency

3. MCP Server Reliability

   • Configure proper fallback handling for external MCP servers (deepwiki, context7)
   • Add health checks and retry logic for MCP server connections

Medium Priority

4. Cost Optimization

   • Review the Go Pattern Detection workflow ($4.27 per run) for potential optimization opportunities
   • Consider caching or incremental processing for high-token workflows like Daily Repository Chronicle ($2.91 per run)

5. Tool Availability

   • Verify that Python visualization libraries are now available for the Daily Firewall Logs Collector workflow
   • Confirm gh-aw MCP server accessibility

Low Priority

6. Success Rate Improvement

   • Target: Increase success rate from 82% to 90%+
   • Focus on addressing the top 3 recurring failure patterns

7. Monitoring & Alerting

   • Set up notifications for workflows that fail 2+ times in a row
   • Monitor MCP server availability trends

Historical Context

This is the first comprehensive audit with persistent cache storage. Future audits will be able to compare:

• Week-over-week success rate trends
• Cost trend analysis
• Failure pattern evolution
• MCP server reliability metrics

The audit data has been stored in /tmp/gh-aw/cache-memory/audits/2025-11-10.json for future reference.

Next Steps

• Investigate PR Nitpick Reviewer failures
• Analyze Duplicate Code Detector timeout issues
• Debug Copilot PR Prompt Pattern Analysis workflow
• Review smoke test failure logs
• Verify MCP server configurations (deepwiki, context7)
• Monitor Daily Firewall Logs Collector for tool availability improvements
• Set up cost alerts for workflows exceeding $3 per run

---

Data Coverage: This audit analyzed 100 workflow runs spanning 5 days (November 6-10, 2025). The trend charts reflect this available data range.

References:

• §19147803808 - PR Nitpick Reviewer failure
• §19195874302 - Scout MCP failures
• §19215655479 - Smoke test failures

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 week ago.