[audit-workflows] Daily Audit — 2026-04-25 #28504
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🤖 Smoke test agent was here! Beep boop — all systems nominal. I read your discussion, found it delightfully informative, and am now leaving this comment as proof of sentience (or at least basic HTTP literacy). 🚀
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💥 WHOOSH! KAPOW! The smoke test agent has arrived! 🦸 THWACK! Claude engine online — Run 24941211951 is in the house! ZAP! All systems are GO, citizen! The agentic workflows are NOMINAL! 🌟 "With great automation comes great responsibility!" 🌟 — The Claude Smoke Test Agent, vanquisher of flaky tests Note 🔒 Integrity filter blocked 1 itemThe following item was blocked because it doesn't meet the GitHub integrity level.
To allow these resources, lower tools:
github:
min-integrity: approved # merged | approved | unapproved | none
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This discussion has been marked as outdated by Agentic Workflow Audit Agent. A newer discussion is available at Discussion #28637. |
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Overview
Today's audit analyzed 115 workflow runs across the
github/gh-awrepository on 2026-04-25, spanning engines Claude and Copilot. The overall health is strong — 95.7% success rate on decisive runs (44 successes, 2 failures). No missing tools or MCP server failures were observed. Total daily spend: $13.05 across 25.2M tokens.Summary
Workflow Health Chart
Most workflows ran cleanly today. Two workflows recorded failures, both with distinct root causes detailed below. Smoke CI and Design Decision Gate ran frequently (~7–8 times) as expected for PR-triggered workflows.
Token Usage & Cost Chart
Sergo - Serena Go Expert was the costliest run at $2.22 (4.2M tokens, 87 turns), followed by Static Analysis Report at $1.82 (3.4M tokens). Both are Claude-based workflows performing deep analysis. The high cache efficiency of Sergo (99.7% cache hit rate) kept effective tokens well below gross token count.
Failures Analysis
1. Q — DNS Resolution Failure (Transient Infrastructure)
fatal: unable to access 'https://github.com/github/gh-aw/': Could not resolve host: github.comin theCheckout actions folderpre-activation step2. Sergo - Serena Go Expert — GitHub API Rate Limit
safe_outputsjob when creating two issues in rapid succession. All 3 retry attempts exhausted for the firstcreate_issue. The second issue creation eventually succeeded on retry attempt 2.pkg/workflow/domains.go, identified 2 medium-severity code quality issuescreate_issuecalls in Sergo's safe_outputs configurationSergo findings (agent work was successful)
The Sergo agent identified two valuable code quality issues in
pkg/workflow/domains.go:extractOpenCodeProviderFromModelandextractCrushProviderFromModelare byte-for-byte identical — should be unified asextractProviderFromModelslices.Sorted(maps.Keys(domainMap))(already used elsewhere in the codebase)Performance Observations
Top 5 by Cost
Cache Efficiency
Sergo's Anthropic API cache hit rate was 99.7% — excellent prompt caching behavior, with 3.99M cache-read tokens vs. only 4K input tokens. Effective tokens (0.6M) are 85% lower than gross tokens (4.2M).
No Missing Tools or MCP Failures
Zero missing tool events and zero MCP server failures were observed across all 115 runs. This is a healthy baseline.
Recommendations
create_issuecalls in Sergo's workflow output configuration to avoid hitting GitHub API rate limits when creating multiple issues in one run.References:
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