🔍 Agentic Workflow Audit Report - November 16, 2025

[github-actions[bot]]

🔍 Agentic Workflow Audit Report - November 16, 2025

The automated audit system has completed analysis of agentic workflows over the last 24 hours and historical trends over the past 30 days. This report provides comprehensive insights into system health, performance metrics, and actionable recommendations.

Executive Summary

Last 24 Hours:

• Runs Analyzed: 8 workflow runs
• Success Rate: 100% (7 successful, 0 failures)
• Status: All analyzed runs were non-agentic workflows (smoke tests and code formatting)
• Issues Found: 0 critical issues
• System Health: ✅ Excellent

30-Day Trends:

• Total Runs: 1,187 workflows across 25 days of data
• Average Success Rate: 81.4%
• Total Token Usage: 233.3M tokens
• Total Cost: $135.03
• Trend: Stable system performance with some variability

📈 Workflow Health Trends

Success/Failure Patterns

The chart above shows workflow success and failure trends over the past 30 days. Key observations:

• Success rates have been generally stable, averaging 81.4% across the period
• Recent days show improved stability with success rates in the 78-100% range
• The 7-day moving average indicates consistent system performance
• Peak failure counts occurred in mid-October, but have since stabilized

Token Usage & Costs

Token consumption and cost analysis reveals:

• Total spending over 30 days: $135.03 with an average of $5.40 per day
• Token usage shows expected variability based on workflow activity
• Peak usage occurred on November 4th with 42.5M tokens ($10.42)
• The 7-day moving average demonstrates steady, predictable resource consumption
• Cumulative cost tracking shows linear growth, indicating sustainable spending patterns

Full Audit Details

Detailed Analysis

Last 24 Hours Breakdown

Workflows Analyzed

The following workflows executed in the last 24 hours:

Workflow	Runs	Success	Failure	Type
Go Pattern Detector	2	2	0	Code Quality
Tidy	2	2	0	Code Formatting
Smoke Claude	1	1	0	Smoke Test
Smoke Codex	1	1	0	Smoke Test
Smoke Copilot	1	1	0	Smoke Test
Safe Output Health Monitor	1	0	0	Monitoring (In Progress)

Note: All completed runs in the last 24 hours were non-agentic workflows (smoke tests, code formatting, and pattern detection). This explains the 0 token usage and $0 cost for this period.

Historical Error Patterns (Last 30 Days)

Based on analysis of cache memory patterns from November 12, 2025:

Error Category Distribution

Error Pattern	Count	Affected Workflows	Severity	Status
Other Errors	1,094	26	Medium	Requires categorization
Token Limit Exceeded	16	3	High	Recurring
HTTP Proxy Warning	18	8	Low	Non-functional
Squid Log Warning	18	8	Low	Configuration
Not Found Error	14	7	Medium	Active
MCP Tool Response Size	8	1	Medium	Active
Connection/Timeout	4	2	Medium	Intermittent

Total Errors in Last Analysis Period: 1,172

Critical Issue: Token Limit Exceeded

Problem: Recurring token limit exceeded errors (16 occurrences across 3 workflows)

Root Cause: MCP tool responses, especially from search_pull_requests, exceeding the 25,000 token limit

Solution:

• Implement pagination with perPage parameter
• Apply jq filters to reduce response size
• Use head_limit parameter where available

Affected Workflows: Workflows using GitHub search MCP tools without proper response size management

Missing Tools Analysis

Historical data from cache memory shows:

Tool Requested	Times Reported	Affected Workflows	Status
gh aw CLI	1	Daily Firewall Logs Collector	Previously Active
Python visualization libraries	1	Daily Firewall Logs Collector	Resolved

Note: Python visualization libraries (pandas, matplotlib, seaborn) have been installed and are now available. The gh aw CLI is now available via MCP server.

MCP Server Health

Status: ✅ Excellent

• MCP Server Failures in Last Period: 0
• Trend: Resolved - significant improvement from previous audits
• Active MCP Servers: github, gh-aw, safeoutputs

Performance Metrics - 30 Day Summary

Token Usage Statistics

• Total Tokens: 233,293,765 (233.3M)
• Average Daily Usage: 9.3M tokens
• Peak Single Day: 42.5M tokens (Nov 4, 2025)
• Trend: Stable with expected variability

Cost Analysis

• Total Cost: $135.03
• Average Daily Cost: $5.40
• Peak Daily Cost: $10.42
• Cost per Token: ~$0.000579 average
• Trend: Linear growth, sustainable spending

Success Rate Evolution

• Period Average: 81.4%
• Recent 7-Day Average: ~82%
• Best Day: 100% (multiple days)
• Trend: Stable with slight improvement

Active Workflows Summary

Based on the status check, the repository has 80 configured agentic workflows:

By Engine:

• Copilot: 38 workflows
• Claude: 27 workflows
• Codex: 3 workflows
• Unknown: 12 workflows

By Status:

• Active: 37 workflows
• Unknown: 43 workflows (not triggered in recent period)

Recommendations

High Priority

None identified in the current audit period.

Medium Priority

1. Address Token Limit Exceeded Errors

Issue: Recurring token limit errors when using GitHub search MCP tools

Action Items:

• Review workflows using search_pull_requests, search_issues, and search_code
• Implement pagination: use perPage parameter (max 100, recommend 10-30)
• Add jq filters to reduce response payload size
• Use head_limit parameter in workflows using gh-aw tools

Example Fix:

# Before
- tool: search_pull_requests
  query: "is:pr repo:githubnext/gh-aw"

# After  
- tool: search_pull_requests
  query: "is:pr repo:githubnext/gh-aw"
  perPage: 20

2. Continue Daily Monitoring

Action: Maintain current audit schedule to track trends and catch issues early

Low Priority

1. Investigate "Other Errors" Category

Issue: 1,094 errors categorized as "Other" require better categorization

Action: Review error logs to create more specific error pattern categories

2. HTTP Proxy & Squid Warnings

Issue: 36 warnings related to Squid proxy configuration

Action: These are non-functional warnings. Consider suppressing or fixing Squid configuration if they clutter logs.

Historical Context

Comparison with Previous Audit (Nov 14, 2025)

Metric	Nov 14	Nov 16	Change
Success Rate	78.3%	100%*	+21.7%
Total Runs	83	8	N/A**
Failures	12	0	-12
Token Usage	12.5M	0	N/A**
Cost	$10.42	$0	N/A**

* Last 24h included only non-agentic workflows
** Not directly comparable due to workflow type differences

Trend: System shows excellent health with no failures in the recent period. The lower activity is expected due to the mix of workflow types that ran.

Next Steps

✅ Completed Actions:

• Daily audit completed successfully
• Trend charts generated and published
• Cache memory updated with findings
• MCP server health verified

⏭️ Upcoming Actions:

1. Monitor token limit issues in next audit cycle
2. Track implementation of pagination fixes
3. Continue 30-day trend analysis
4. Review "Other Errors" categorization

Appendix: Data Sources

This audit analyzed:

• Log Files: 8 workflow runs from /tmp/gh-aw/aw-mcp/logs
• Historical Audits: 25 days of cached audit data (Oct 12 - Nov 14, 2025)
• Error Patterns: Cache memory patterns from Nov 12, 2025
• MCP Server Status: Real-time status check via gh-aw MCP server

---

References:

• §19397727857
• §19397547334
• §19397541983

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.