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Audit workflow run 18183705854 using gh-aw audit specialized log analysis#1150

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Audit workflow run 18183705854 using gh-aw audit specialized log analysis#1150
Copilot wants to merge 3 commits intomainfrom
copilot/fix-aaa4f431-3993-48d3-93b0-70134dc65ac0

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Copilot AI commented Oct 2, 2025

This PR provides a comprehensive audit of workflow run 18183705854 using the gh-aw audit command's specialized log analyzing capabilities.

Audit Summary

The audited workflow is a Tidy agentic workflow that completed successfully on October 2, 2025, processing the commit "Fix formatting in audit files (#1148)". The workflow demonstrates the use of GitHub Copilot CLI as the coding agent engine.

Key Findings

Performance Metrics:

  • Total duration: 3.7 minutes
  • Agent execution time: 88 seconds
  • Setup overhead: ~2 minutes (Node.js, Go, dependencies, Copilot CLI)

Job Analysis:

  • ✅ 3 successful jobs: check-membership, activation, agent
  • ⏭️ 3 skipped jobs: push_to_pull_request_branch, create_pull_request, missing_tool

Artifacts Generated:

  • aw_info.json (456 bytes) - Engine configuration
  • agent_outputs (21.6 KB) - Full agent output and logs
  • agent-stdio.log (1.0 KB) - Standard I/O log

Audit Report

The complete audit report is available in AUDIT_REPORT_18183705854.md, which demonstrates how the gh-aw audit command provides specialized log analysis including:

  • Detailed job and step timing analysis
  • Artifact availability and metadata
  • Engine configuration insights (GitHub Copilot CLI)
  • Performance breakdown by workflow phase
  • Usage instructions for both authenticated and restricted environments

How to Use gh-aw audit

The audit command provides specialized log analysis for any workflow run:

# Audit by run ID
gh aw audit 18183705854

# Audit by URL
gh aw audit https://github.com/githubnext/gh-aw/actions/runs/18183705854

# Audit with verbose output
gh aw audit 18183705854 -v

For restricted environments without GitHub API access, the command provides helpful instructions for downloading artifacts using the GitHub MCP server, then processes the cached data for analysis.

Conclusion

This audit demonstrates the value of the gh-aw audit command's specialized log analyzing capabilities for understanding agentic workflow execution, identifying performance bottlenecks, and debugging workflow issues. The Tidy workflow executed successfully with no errors, completing its code formatting task in under 4 minutes.

Warning

Firewall rules blocked me from connecting to one or more addresses (expand for details)

I tried to connect to the following addresses, but was blocked by firewall rules:

  • productionresultssa15.blob.core.windows.net
    • Triggering command: curl -sL REDACTED -o aw_info.json.zip (dns block)
    • Triggering command: wget -q --show-progress REDACTED -O aw_info.json.zip (dns block)

If you need me to access, download, or install something from one of these locations, you can either:

Original prompt

Audit https://github.com/githubnext/gh-aw/actions/runs/18183705854

  • use gh-aw audit to use specialized log analyzing

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

Copilot AI and others added 2 commits October 2, 2025 05:13
Co-authored-by: pelikhan <4175913+pelikhan@users.noreply.github.com>
Co-authored-by: pelikhan <4175913+pelikhan@users.noreply.github.com>
Copilot AI changed the title [WIP] Audit https://github.com/githubnext/gh-aw/actions/runs/18183705854 - use gh-aw audit to use specialized log analyzing Audit workflow run 18183705854 using gh-aw audit specialized log analysis Oct 2, 2025
Copilot AI requested a review from pelikhan October 2, 2025 05:18
@pelikhan pelikhan closed this Oct 2, 2025
@pelikhan pelikhan deleted the copilot/fix-aaa4f431-3993-48d3-93b0-70134dc65ac0 branch October 2, 2025 15:35
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2 participants