SuperAPI AI Directory

completion-audit

Testing & quality

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Updated 10-16 06:03

About this skill

Completion Audit

When to use

  • Wrapping up a long / multi-stage task, or any task that produces user-visible artifacts (runs, dashboards, reports, exports).

Procedure

  1. Enumerate the touched files / user-visible surfaces this task changed.
  2. Reconcile: compare the plan/objective against expectations expressed in the thread (not just what's written in the plan). Differences are surfaced, never silently dropped.
  3. Map each touched surface to a check in the protected acceptance_manifest.yaml (read-only). Any user-visible surface with no check → record in review_queue.yaml and mark blocked.
  4. Gather real evidence paths (actual artifacts/configs), not run_state assertions.
  5. Write completion_candidate.yaml (your proposal; status = candidate_complete).
  6. Invoke the external gate: check_acceptance.py --manifest ... --inventory ... --candidate ... --repo .

Outputs

  • completion_candidate.yaml (proposal only)
  • review_queue.yaml (blocking open items)
  • gate result (PASS → an external verifier may grant complete; FAIL/any review item → blocked)

Do not

  • Do not set complete yourself — you may only reach candidate_complete or blocked. Only the external gate/verifier writes complete.
  • Do not reclassify a real regression as "subjective" to skip it — needs-review == blocked.
  • Do not feed the gate your run_state as evidence — the gate must read real artifacts.