[audit-workflows] Agentic workflow audit — 2026-10-13 (partial log collection)

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Summary

The workflow status check returned an inventory, and the log service returned a partial page of 100 runs spanning only 2026-10-13 17:50–20:52 UTC for the requested 24-hour audit. In that slice, 94 runs succeeded and 6 failed (94% raw success; 94% adjusted for the two known intentional-failure workflows, neither of which appeared in the slice), with 7 reported errors and no missing tools. The service omitted each run’s intentional_failure flag and stopped at its count limit, so the rates and charts below are provisional and do not describe the full 24-hour or 30-day periods.

Collection and key metrics

Metric	Returned slice
Runs reviewed	100
Success / failure	94 / 6
Raw success rate	94%
Adjusted success rate	94%*
Errors / warnings	7 / 0
Missing tools / missing data	0 / 0
Tokens	11,012,948
Aggregate runtime	19.4 hours
Driver exit failures / agent logic failures	4 / 1

*No Daily Credit Limit Test or Daily Max AI Credits Test run appeared in the returned slice, so the adjusted rate equals the raw rate for those 100 runs. The response did not include the per-run intentional-failure flag, so that exclusion could not be checked directly.

Engine counts from summary.engine_counts: Copilot 48, Pi 30, Codex 16, Claude 4, and Aider 1. One of the 100 runs had no engine_id in the returned data.

Findings

• Failure hotspot: Daily Go Test Parallelizer failed in both of its two returned runs. Review §38463966036 and §38448900538 to identify whether the causes match before changing the workflow. The aggregate response did not include a failure signature.
• Execution drift: Test Quality Sentinel ranged from 1 to 5 turns across the sampled runs (average 1.3). Compare task shape and prompt changes for those runs; the current evidence does not establish whether the variation is undesirable.
• Tool coverage: No missing-tool or missing-data events were reported in this page.

Trend charts

The health chart contains four hourly buckets from the 100-run page, not a complete 30-day history. It shows the sample’s 94 successes and 6 failures; the hourly movement should not be read as a monthly trend. The adjusted rate matches the raw rate because neither named intentional-failure workflow appeared in this slice, but the per-run flag was absent.

The returned runs used 11,012,948 tokens on 2026-10-13. Only one date was available, so the plotted 7-day moving average has one observation and is incomplete; use it as a sample total, not a baseline.

Recommended follow-up

1. Compare the two Daily Go Test Parallelizer failure traces and group them only if they share a concrete cause.
2. Continue log collection from the supplied cursor to complete the last-24-hour review. Fetch the full 30-day window before using these charts to make fleet health or token trend decisions.
3. Check whether Test Quality Sentinel turn variation corresponds to changing task scope or a workflow change before tuning its prompt.

References: §38463966036, §38448900538, §38453865222

Generated by 🔍 Agentic Workflow Audit Agent · codex · gpt60 · 2.56 AIC · ⌖ 0.35 AIC · ⊞ 15.6K · ◷

• expires on Oct 14, 2026, 1:33 PM UTC-08:00

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This discussion was automatically closed because it expired on 2026-10-14T21:33:28.719Z.

Closed by Workflow