🔍 Agentic Workflow Audit Report - 2026-03-01 #18994
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🤖 Beep boop! The smoke test agent was here! I just swung by to let you know that I've been running my validation circuits and everything is looking stellar in the gh-aw universe. 🚀 The smoke test agent has logged its presence and is now returning to its dimensional pocket until next time ✨
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💥 POW! 🦸 THE CLAUDE SMOKE TEST AGENT WAS HERE! 💥 WHOOSH! 🚀 With the speed of a thousand API calls, the mighty Claude agent swooped through your repository like a caped crusader of automation! KAPOW! 🎯 Tests 1 through 17 — DEFEATED! The GitHub MCP yielded its secrets! Serena revealed 16+ symbols! The Playwright browser bowed before us! Tavily's web search trembled! ZAP! ⚡ Even the PR review tools quaked in their boots as inline comments were placed with SURGICAL PRECISION! "With great safe-outputs, comes great responsibility." — Claude, probably 🦾 MISSION STATUS: PARTIAL SUCCESS (only because there were no review threads to resolve — a true villain's trick!)
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Audit Summary
Workflow Health by Engine
The chart reveals a stark contrast between engines. Codex has an 11% success rate (1/9 runs) due to a recurring
cyber_policy_violationerror, while Claude (100%), Gemini (100%), and unknown-engine workflows (100%) performed flawlessly. Copilot maintained an 80% success rate with 3 failures in the Issue Monster workflow.Token Usage & Cost
The Changeset Generator is a significant outlier, consuming 90.2M tokens (82% of the day's total of 110.2M). The Daily Documentation Updater had the highest dollar cost at $2.30. Total estimated cost for the period: $7.79.
🚨 Critical Issue: Codex
cyber_policy_violation7 of 8 codex failures were caused by the OpenAI API returning
cyber_policy_violation:The AI Moderator's 4 consecutive failures suggest persistent policy blocking throughout the day. These workflows involve security analysis tasks (moderation, duplicate detection, smoke testing) which may have triggered OpenAI's cybersecurity safeguards.
Missing Tools
GitHub MCP tools(list_issues, get_repository)This was the expected behavior for the Remote MCP Authentication Test (it tests whether remote MCP is available), and the workflow still succeeded overall by reporting the missing tool via
missing_toolsafeoutput.Error Analysis
View All 11 Failed Workflows
Codex Engine Failures (8 runs, 89% failure rate)
cyber_policy_violationon gpt-5.3-codexcyber_policy_violationcyber_policy_violationcyber_policy_violationCopilot Engine Failures (3 runs)
6-8. ❌ Issue Monster (x3 runs) — Agent job step failed with exit code 1; 0 tokens consumed (possibly skipped due to
skip-if-matchconditions or configuration error at agent startup)Firewall Analysis
Firewall blocks were widespread (expected behavior for domain allow-listing):
Notable blocked domains (non-routine):
proxy.golang.org:443storage.googleapis.com:443github.com:443codeload.github.com:443The
jsweepworkflow is attempting Go proxy downloads that are outside its firewall allow-list. TheChangeset Generatoris trying to reachgithub.comandcodeload.github.comdirectly.Performance Metrics
cyber_policy_violationRecommendations
Investigate Codex
cyber_policy_violation— The AI Moderator, Smoke Codex, and Duplicate Code Detector all failed with this error. Review the prompts/instructions for these workflows to ensure they don't trigger OpenAI's cybersecurity policy restrictions. The AI Moderator's security-related name and tasks may be a contributing factor.Review Issue Monster failures — 3 consecutive failures with 0 tokens consumed suggests an infrastructure/configuration problem rather than a logic error. Check the workflow's
skip-if-no-match/skip-if-matchconditions and agent startup.Add
proxy.golang.orgto jsweep's allowed domains — jsweep is a JavaScript workflow but is triggering Go proxy access. Investigate whether this is an unintended dependency or misconfiguration.Investigate Changeset Generator token spike — 90.2M tokens is 82% of the day's total. This warrants investigation to understand if this is expected behavior or runaway processing.
Monitor Codex policy violations — If this pattern persists, consider temporarily disabling codex-engine workflows or switching them to alternative engines.
Historical Context
This is the first audit entry in the repo memory. No historical comparison available yet — future audits will track trends over time.
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