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Agent Evals
Agent Acceptance Test Harness Builder
Convert an AI-agent task into acceptance tests, permission gates, stop rules, eval cases, Playwright-style smoke skeleton, and a JSON completion receipt.
Reviewed 2026-06-19
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WHY THIS EXISTS
Operational proof for AI-era sites and agents.
Convert an AI-agent task into acceptance tests, permission gates, stop rules, eval cases, Playwright-style smoke skeleton, and a JSON completion receipt. The useful output is a visible table plus a receipt that names input, checks, limits, and next action.
- Turns agent work into explicit objective, permissions, stop conditions, and proof artifacts.
- Generates happy-path, missing-input, permission, evidence-gap, and stale-output evals.
- Includes a smoke-test skeleton that can be adapted before production release.
Boundary: Not for replacing human review on destructive, financial, legal, medical, or safety-critical agent actions.