🔍 Agentic Workflow Audit Report - 2025-10-21 (Late Night)

[github-actions[bot]]

🔍 Agentic Workflow Audit Report - October 21, 2025 (02:24 UTC)

Audit Summary

• Period: Last 24 hours
• Runs Analyzed: 38
• Total Duration: 3.0 hours
• Success Rate: Mixed (high cancellation rate for Tidy workflows)
• Issues Found: 416 errors, 103 warnings
• Missing Tools: 0 (improvement from previous audits!)

Overall Statistics

Metric	Value
Total Tokens Used	13,645,626
Total Cost	$8.89
Total Turns	736
Average Cost/Run	$0.23
Total Errors	416
Total Warnings	103

Most Active Workflows (Last 24h)

1. Tidy - 11 runs (7 failed/cancelled, 4 success) ⚠️
2. Changeset Generator - 10 runs (9 success, 1 failed)
3. Dev - 5 runs
4. Agentic Workflow Audit Agent - 4 runs (3 success, 1 in progress)
5. Dev Hawk - 3 runs

Error Analysis

🔴 Critical Errors

1. MCP Timeout Errors (HIGH PRIORITY)

• Pattern: MCP error -32001: Request timed out
• Frequency: Multiple occurrences in audit workflows
• Affected Workflows: Agentic Workflow Audit Agent
• Impact: Audit workflows experiencing timeouts when fetching logs via MCP
• Root Cause: The gh-aw MCP server logs tool is timing out, likely due to large response sizes

Example from Run 18669588678:

MCP error -32001: Request timed out

2. Tidy Workflow High Failure Rate (HIGH PRIORITY)

• Failure Rate: 64% (7 out of 11 runs failed or were cancelled)
• Status Distribution:
  • Cancelled: 2
  • Failed: 5
  • Success: 4
• Impact: Critical code quality/tidying workflow is unreliable
• Runs Affected:
  • 18669532820 (cancelled)
  • 18669493212 (cancelled)
  • 18670633364 (failed - 6 errors, 3 warnings)
  • 18669980853 (failed - 6 errors, 3 warnings)
  • 18669579511 (failed - 2 errors, 3 warnings)
  • 18670417753 (failed - 6 errors, 3 warnings)
  • 18668594417 (failed - 1 error)

🟡 Medium Priority Issues

3. Tool Availability (MEDIUM - RESOLVED)

• Previous Issue: No such tool available: mcp__github__list_workflow_runs
• Status: Not observed in most recent runs
• Note: This appears to have been resolved, likely through MCP server updates

4. File Operation Errors (MEDIUM)

• Pattern: "File has not been read yet. Read it first before writing to it"
• Frequency: Several occurrences
• Impact: Agent workflow inefficiency, extra turns required
• Solution: Agents should read files before attempting writes

Performance Metrics

💰 Most Expensive Workflows

Workflow	Cost	Tokens	Turns	Notes
Documentation Unbloat	$1.28	2,525,103	118	High cost due to comprehensive doc analysis
Agentic Workflow Audit (avg)	$0.95	~1,500,000	~80	Complex analysis with many log reads
Security Fix PR	$1.08	1,964,605	112	Security scanning and fix generation

📊 Token Usage by Engine

• Claude: Higher token usage workflows (audits, documentation, security)
• Copilot: Lower token usage (Tidy, Dev Hawk, simple tasks)
• Codex: Limited usage (duplicate detection)

Tool Usage Highlights

Top tools used across all workflows:

1. github - 192 calls (workflow/issue/PR operations)
2. TodoWrite - 86 calls (task management)
3. Read - 65 calls (file operations)
4. safe_outputs - 37 calls (discussion/PR creation)
5. gh-aw (audit/logs/status) - 31 calls (audit operations)

MCP Server Analysis

No MCP server failures detected in this period.

Recommendations

🔥 Immediate Action Required

1. Fix MCP Timeout Issues

• Action: Increase timeout for gh-aw MCP server logs tool OR optimize tool response
• Alternatives:
  • Add pagination to logs tool
  • Add filtering options to reduce payload size
  • Implement streaming responses
  • Cache frequently accessed logs
• Owner: gh-aw MCP server maintainers
• Priority: HIGH

2. Investigate Tidy Workflow Failures

• Action: Deep dive into why 64% of Tidy runs fail
• Investigation Areas:
  • Check for environment/dependency issues
  • Review recent code changes to Tidy workflow
  • Analyze error patterns in failed runs
  • Check resource constraints (timeout, memory)
• Owner: Tidy workflow maintainers
• Priority: HIGH

⚡ Performance Optimization

3. Optimize High-Cost Workflows

• Target Workflows: Documentation Unbloat ($1.28), Audit Agent ($0.95), Security Fix ($1.08)
• Strategies:
  • Reduce context size by targeted reading
  • Implement caching for repeated analysis
  • Use smaller models for routine checks
  • Break down large tasks into smaller steps
• Expected Impact: 20-30% cost reduction
• Priority: MEDIUM

4. Improve Agent File Operation Patterns

• Action: Add validation logic to prevent "file not read" errors
• Implementation: Update agent templates/prompts to always read before write
• Priority: LOW

Historical Context

Trends vs Previous Audits

Improvements:

• ✅ No missing tools reported (was an issue in previous audits)
• ✅ MCP server stability improved overall

Persistent Issues:

• ⚠️ MCP timeout errors continue to affect audit workflows
• ⚠️ High token usage in documentation/audit workflows

New Issues:

• 🆕 Tidy workflow failure rate elevated (needs investigation)

Affected Workflows Detail

Workflows with Issues

Workflow	Runs	Failures	Success Rate	Issues
Tidy	11	7	36%	High failure/cancellation rate
Agentic Workflow Audit Agent	4	0	100%	MCP timeouts but completes
Dev	5	2	60%	Some failures noted
Changeset Generator	10	1	90%	Generally reliable

Healthy Workflows

• Dev Hawk: 3 runs, 2 success (1 failure)
• Documentation Unbloat: 1 run, success (but expensive)
• Security Fix PR: 1 run, success

Next Steps

• HIGH: Investigate Tidy workflow failures - identify root cause
• HIGH: Optimize gh-aw MCP logs tool to prevent timeouts
• MEDIUM: Review and optimize high-cost workflows for token usage
• MEDIUM: Add monitoring for workflow failure rates
• LOW: Update agent templates to enforce read-before-write pattern

Data Location

All audit data and logs are available at:

• Logs: /tmp/gh-aw/aw-mcp/logs/
• Audit Cache: /tmp/gh-aw/cache-memory/audits/2025-10-21-late-night.json
• Pattern Database: /tmp/gh-aw/cache-memory/patterns/

---

Audit Completed: 2025-10-21 02:24 UTC
Agent: Claude (Agentic Workflow Audit Agent)
Run ID: 18670834307

This audit was automatically generated by the Agentic Workflow Audit Agent. For questions or concerns, please review the audit logs or create a follow-up issue.

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.