[audit-workflows] Daily Agentic Workflow Audit — 2026-10-24

[github-actions[bot]]

Summary

The sampled 24-hour window contains 386 executed runs: 363 successes and 23 failures, for 94.0% raw success (94.3% after excluding three runs from the two designated guardrail-test workflows). No missing tools were reported. The 30-day log request returned only Oct 24 data, so the charts show a one-day snapshot and cannot support a 30-day trend or 7-day moving average.

Key metrics

Measure	Sample result
24-hour executed runs	386
Raw success rate	94.0% (363/386)
Excluding intentional-failure workflows	94.3% (361/383)
Adjusted failures	22: 11 driver exits and 11 agent-logic failures
Missing tools / missing data	0 / 0
30-day request coverage	244 records, one observed day (Oct 24, 10:55–21:17 UTC)
30-day sample tokens after exclusions	26.72M

Engine counts from the collected run summaries: Pi 150, Copilot 142, Codex 60, Claude 31, Aider 2, and OpenCode 1. The 24-hour sample spans 2026-10-23 21:40:57 to 2026-10-24 21:17:05 UTC; the newest captured run is about 24 minutes before this audit ended.

Findings and recommendations

• Validate no-job failure rollups. The per-slice observability summaries flagged AI Moderator at 22 failures across 23 runs (96%) and Design Decision Gate at 12 across 23 (52%). The failure clusters classify only three AI Moderator and two Design Decision Gate records as no-job events. Check whether these are expected skip or obsolete-PR outcomes and reconcile the rollup denominator before treating the rates as workflow regressions.
• Triage the shared failure handler. After excluding the intentional max-credit test, 17 cluster occurrences converge on the conclusion step Handle agent failure (9 driver-exit and 8 agent-logic occurrences). Inspect the shared conclusion path across the affected workflows; this signature recurred in the prior audit.
• Investigate the AIC observation restore step. Issue Monster had a driver exit at Restore daily AIC scan observations; the previous audit recorded eight occurrences of this failure family.
• Review token outliers. Daily AWF Spec Compiler Surfacing Review used 4,143,436 tokens in an 11-minute run. Review its context and token budget alongside the 4.02M-token Daily Cache Strategy Analyzer run in the chart sample.
• Fix log coverage and the intentional marker gap. The 30-day request hit the 1,000-count limit and returned only a 10-hour slice on Oct 24. Also, the Daily Max AI Credits Test run appeared without intentional_failure: true, so exclude it by the designated workflow name when building health rollups.

Charts

The health chart contains one daily point: 175 adjusted successes, 4 adjusted failures, and a 97.8% adjusted success rate for the returned Oct 24 sample. The other 29 dates are unobserved, so this is a snapshot rather than a 30-day trend.

The returned sample contains 26.72M tokens after excluding the designated guardrail tests. Only one date is available, so a 7-day moving average cannot be calculated.

References

• AI Moderator run 40099076785
• Daily Go Test Stubs — Aider run 40111970210
• Daily AWF Spec Compiler Surfacing Review run 40033062295

Generated by 🔍 Agentic Workflow Audit Agent · codex · gpt60 · ~8 AIC · ⌖ ~1 AIC · ⊞ 16.2K · ◷

• expires on Oct 25, 2026, 1:46 PM UTC-08:00

[github-actions[bot]]

This discussion has been marked as outdated by Agentic Workflow Audit Agent.

A newer discussion is available at Discussion #71954.