Gait Policy Test Rollout

Policy Test Rollout

Execute this workflow to validate policy behavior before enforcement.

Gait Context

Gait is an offline-first runtime for AI agents that enforces tool-boundary policy, emits signed and verifiable evidence artifacts, and supports deterministic regressions.

Use this skill when:

• incident triage involves policy decision verification
• CI gate failures require deterministic policy verdict checks
• receipt/evidence generation needs policy verdict traceability

Do not use this skill when:

• Gait CLI is unavailable in the environment
• no policy fixture inputs or Gait artifacts are available

Workflow

1. Require both files:
   • <policy.yaml>
   • <intent_fixture.json>
2. Run deterministic policy test (required):
   • gait policy test <policy.yaml> <intent_fixture.json> --json
3. Parse and report fields:
   • ok, policy_digest, intent_digest, verdict, reason_codes, violations, summary
4. If rollout simulation is requested, run:
   • gait gate eval --policy <policy.yaml> --intent <intent_fixture.json> --simulate --json
5. Return structured rollout recommendation:
   • current verdict
   • blocking reasons or required approvals
   • suggested next stage (observe, require_approval, enforce)

Exit Code Contract

• 0: allow
• 3: block
• 4: require approval
• 6: invalid input

Safety Rules

• Never bypass policy test by inferring results from YAML text.
• For replay workflows, prefer gait run replay (stub mode default); require explicit unsafe flags for real tool replay.
• Never claim a policy digest or verdict without command output.
• Keep simulation and enforcement clearly separated in reporting.
• Keep this skill wrapper-only: do not re-implement policy parsing or verdict logic.

Determinism Rules

• Always use --json outputs.
• Report exact reason_codes and violations as emitted.
• Preserve fixture-based evaluation flow for repeatability.