🔍 Agentic Workflow Audit Report - 2025-10-12 (Blocked)

[github-actions[bot]]

🔍 Agentic Workflow Audit Report - 2025-10-12

⚠️ Audit Status: BLOCKED

This audit was unable to complete due to critical infrastructure issues preventing log analysis.

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📊 Audit Summary

• Period: Last 24 hours (2025-10-11 to 2025-10-12)
• Runs Analyzed: 0
• Workflows Active: 55 workflows configured
• Audit Status: ❌ BLOCKED - Cannot access workflow logs
• Issues Found: 2 critical blockers

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🚨 Critical Blockers

1. gh-aw MCP Server Unavailable

Severity: 🔴 Critical

Description: The gh-aw MCP server, which is the primary tool for accessing and analyzing workflow logs, is not responding to resource requests.

Evidence:

ListMcpResourcesTool(server="gh-aw") returned: []

Impact:

• Cannot download workflow logs programmatically
• Cannot use the logs tool to fetch runs from last 24 hours
• Audit process completely blocked

Recommendation:

• Verify MCP server configuration in the audit workflow
• Ensure the server is properly started before the audit agent runs
• Add health check for MCP server before starting audit

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2. GitHub API Response Size Exceeds Limits

Severity: 🔴 Critical

Description: Direct GitHub API calls for workflow runs return responses that exceed the maximum allowed token limit (25,000 tokens), even with small page sizes.

Evidence:

mcp__github__list_workflow_runs(perPage=10)
→ Error: Response (45,517 tokens) exceeds maximum (25,000 tokens)

mcp__github__list_workflow_runs(perPage=5)  
→ Error: Response (72,341 tokens) exceeds maximum (25,000 tokens)

Impact:

• Cannot retrieve workflow run details via GitHub API
• Cannot access run status, conclusions, or timestamps
• No fallback mechanism when MCP server is unavailable

Recommendation:

• Use gh-aw CLI or MCP server as primary access method
• Implement chunked reading strategy for large responses
• Consider caching workflow run summaries for audit purposes

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🔧 Environment Analysis

Available Tools

✅ GitHub MCP Server: Connected and functional
✅ Safe Outputs MCP Server: Connected and functional
❌ gh-aw MCP Server: Not responding (0 resources)
❌ gh aw CLI: Not installed in environment

Repository Status

• Total Workflows: 55 active workflows
• Engines in Use: Claude, Codex, Copilot, GenAIScript, Custom
• Most Active Workflows (by ID):
  • CI (180858647)
  • Copilot coding agent (180923337)
  • Agentic Workflow Audit Agent (195993955) - this workflow
  • Multiple smoke tests and specialized agents

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📁 Cache Memory Status

The audit successfully maintained cache memory structure:

/tmp/gh-aw/cache-memory/
├── audits/
│   └── 2025-10-12.json          # Today's audit (blocked status)
├── patterns/                     # Error pattern database (empty - no logs)
├── metrics/                      # Token/cost tracking (empty - no logs)
└── history/
    └── 2025-10-11.json          # Previous lockfile analysis

Previous Analysis Available: Yes (2025-10-11 lockfile statistics)

• 26 lock files analyzed
• 4.62 MB total size
• Workflow dispatch most common trigger (46%)

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🎯 Recommendations

Immediate Actions Required

1. Fix MCP Server Configuration (Priority: 🔴 Critical)

   • Add gh-aw MCP server initialization to audit workflow setup
   • Verify server starts successfully before audit execution
   • Add health check and error reporting if server fails

2. Install gh aw CLI as Fallback (Priority: 🟠 High)

   • Add gh aw extension installation step to workflow
   • Ensure proper authentication is configured
   • Test log download functionality

3. Implement Alternative Log Access (Priority: 🟡 Medium)

   • Consider using workflow artifacts API directly
   • Implement chunked reading for large responses
   • Cache workflow summaries for trend analysis

Long-term Improvements

1. Add Monitoring for Audit Health

   • Track audit success/failure rates
   • Alert when audit is blocked
   • Implement retry logic with backoff

2. Optimize Log Access Strategy

   • Pre-filter runs by date before downloading
   • Use minimal response formats where possible
   • Implement incremental audit approach

3. Enhance Error Recovery

   • Document fallback procedures
   • Add automated troubleshooting steps
   • Create runbook for common issues

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🔄 Historical Context

Comparison with Previous Audits

This is a new audit workflow (first run: 2025-10-07). No historical audit data available yet for comparison.

Previous Analysis Types:

• Lockfile statistics (2025-10-11): Successfully analyzed 26 workflows
• Current audit: Blocked by MCP server issue

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📝 Lessons Learned

1. Dependency on MCP Server: The audit process has a critical dependency on the gh-aw MCP server. Without it, no log analysis is possible.

2. GitHub API Limitations: Direct API access is not viable for large workflow histories due to response size limits.

3. Need for Fallback Mechanisms: The audit workflow needs robust fallback mechanisms when primary tools are unavailable.

4. Early Validation: Health checks should validate tool availability before starting the audit process.

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🐛 Reported Issues

The following issues have been documented for investigation:

1. gh-aw MCP Server Not Responding

   • Server configured but returns no resources
   • Prevents all log access functionality
   • Requires immediate investigation

2. GitHub API Response Size Limit

   • Workflow run responses too large for direct consumption
   • Even small page sizes exceed token limits
   • Needs architectural solution

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✅ Next Steps

• Investigate gh-aw MCP server configuration
• Add CLI installation to audit workflow setup
• Implement health checks before audit starts
• Retry audit once MCP server is fixed
• Update audit workflow documentation with troubleshooting steps

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📅 Next Audit

Scheduled: 2025-10-13 (daily schedule)

Expected Improvements:

• MCP server should be functional
• Logs from last 24 hours should be accessible
• Full audit analysis can proceed

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Audit Generated: 2025-10-12
Agent: Agentic Workflow Audit Agent
Status: Blocked - Awaiting MCP Server Fix
Cache Updated: Yes

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.