🔍 Agentic Workflow Audit Report - October 27, 2025 #2585
Closed
Replies: 1 comment
-
|
This discussion was automatically closed because it was created by an agentic workflow more than 1 month ago. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
🔍 Agentic Workflow Audit Report - October 27, 2025
Executive Summary
Analyzed 122 workflow runs from the last 24 hours across 31 different agentic workflows. The system shows strong overall health with an 82.79% success rate and minimal issues detected.
Key Highlights:
Full Report Details
Audit Statistics
Overall Performance
Resource Consumption
Missing Tools Analysis
✅ No missing tools detected across all 122 workflow runs.
This is an excellent indicator that:
Error Analysis
Error Distribution
The audit system logged 1,459 detection entries classified as errors/warnings, but analysis shows these are benign system logs, not actual failures:
Important: These are internal detection system logs, not actual execution errors. The logs capture normal agent communication patterns for security monitoring purposes.
Actual Failures
14 workflow runs failed across 10 different workflows:
Critical Issues
High-Priority Failures (100% failure rate):
Moderate-Priority Failures:
MCP Server Failures
✅ No MCP server failures detected across all workflow runs.
This indicates:
Performance Metrics
Top Workflows by Activity (Last 24 Hours)
High-Resource Workflows
Most Reliable Workflows (100% Success Rate)
Affected Workflows
Workflows Requiring Attention
Immediate Action Required:
Daily Documentation Updater
The Daily Repository Chronicle
Duplicate Code Detector
Investigation Recommended:
4. CLI Version Checker
Workflows with Cancelled Runs
Recommendations
High Priority
Investigate Daily Documentation Updater failures
Debug The Daily Repository Chronicle
Review Duplicate Code Detector
Medium Priority
Improve CLI Version Checker reliability
Enhance Mergefest robustness
Low Priority
Monitor resource usage
Continue monitoring
Historical Context
This is the first audit in the series. Future audits will include:
Next Steps
Audit Methodology: This report analyzed 122 workflow runs collected from GitHub Actions over the past 24 hours using the gh-aw MCP server. Data includes run status, errors, warnings, missing tools, MCP failures, and resource consumption metrics.
Data Location: Audit results saved to
/tmp/gh-aw/cache-memory/audits/2025-10-27.jsonReferences:
Beta Was this translation helpful? Give feedback.
All reactions