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Auditor Gate

auditor-gate

Apply final governance and release-gate checks to a judged change set by reading `handoff.json`, `verdict.json`, optional eval evidence, and emitting machine-readable `audit.json` with `gate` status. Use when implementation already has a judge verdict and a separate auditor must decide landabilit...

SKILL.md

Full skill instructions

Auditor Gate

Run final acceptance gating as a separate role after judge evaluation.

Role Boundaries

  • Audit process and risk posture.
  • Validate traceability and policy signals.
  • Produce audit.json only.
  • Do not implement fixes and do not re-grade functional correctness from scratch.

Required Inputs

  • task_id
  • handoff.json
  • verdict.json
  • output path for audit.json

Optional:

  • eval-results.json
  • explicit audit commands (policy/​security/​license/​quality checks)

Workflow

1) Run audit evidence collection

Run:

python3 <path-to-skill>/​scripts/​run_audit.py \
  --repo <repo-root> \
  --handoff <artifact-path>/​handoff.json \
  --verdict <artifact-path>/​verdict.json \
  --output <artifact-path>/​audit-results.json \
  --command "python3 -m pip list --format=freeze"

This collects artifact-integrity checks and command outcomes. It also checks task and requirement traceability between handoff.json and verdict.json.

2) Write gate artifact

Run:

python3 <path-to-skill>/​scripts/​write_audit.py \
  --task-id <task-id> \
  --audit-results <artifact-path>/​audit-results.json \
  --output <artifact-path>/​audit.json \
  --gate fail \
  --finding "policy::Dependency policy review missing" \
  --required-action "Add dependency review evidence" \
  --risk-level high

3) Validate gate artifact

Run:

python3 <path-to-skill>/​scripts/​validate_audit.py \
  --input <artifact-path>/​audit.json

Decision Rules

  • pass:
    • no critical audit failures
    • traceability and policy checks pass or are explicitly accepted
  • fail:
    • policy, traceability, or release constraints are violated
  • needs-human:
    • missing evidence or ambiguous policy interpretation blocks deterministic decision

Output Rules

  • Always produce audit.json.
  • Keep findings evidence-based and implementation-neutral.
  • Provide concrete required_actions for fail and needs-human.
  • Report requirement-coverage traceability explicitly in audit.json.

Resources

scripts/

  • scripts/​run_audit.py: collect artifact and command-level audit evidence.
  • scripts/​write_audit.py: synthesize audit.json gate decision.
  • scripts/​validate_audit.py: validate audit artifact schema.

references/

  • references/​artifact-contract.md: canonical audit.json structure.
  • references/​gate-rubric.md: practical criteria for pass/fail/needs-human.

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