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Add a non-executing review workflow for recomputation, exact action binding, replay, reviewer dependence, evidence conflict, and monitoring freshness.\n\nAssisted-by: OpenAI Codex
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Summary
### Linting skills/verify-agent-action
✅ verify-agent-action (2/2 checks passed)
✓ [spec-compliance] All 1 skill(s) are spec-compliant.
✓ spec-compliance: All spec checks passed.
✓ [valid-refs] All file references across 1 skill(s) are valid.
✓ valid-refs: All file references resolve to existing files within the skill directory.
1 skill(s) linted, 1 passed
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Summary
Adds verify-agent-action, an opt-in, non-executing skill for reviewing consequential AI-agent actions before a human or external enforcement point decides whether to act.
The workflow checks six linked failure classes:
Why this is distinct
Existing governance, compliance, evaluation, and security-review skills cover broader system design or code posture. This skill is narrowly focused on the final pre-execution packet: whether the exact action presented now is the same action supported, assessed, and approved earlier.
It preserves supporting and refuting evidence separately, includes six hostile mutations, and produces one of four review outcomes without turning any outcome into execution authority.
Safety boundary
Scope
Validation
A model-response smoke could not be completed because the account's Copilot CLI policy denied the request before evaluation. No behavior beyond successful installation and discovery is claimed from that check.
Assisted-by: OpenAI Codex
Human verification: VrtxOmega