agent-review-benchmarklisted

# Agent Review Benchmark Generate structured review or benchmark artifacts from explicit local JSON inputs. Do not use an external LLM judge by default. ## Guided Review 1. Collect task, Run, Session, workspace, base revision, head revision, changed-file groups, risks, validation refs, and follow-ups. 2. Validate the input against `references/guided-review.schema.json` semantics. 3. Run: ```bash node .agent/skills/agent-review-benchmark/scripts/index.js review \ --input <review-input.json> --output <guided-review.json> ``` 4. Check that every group explains intent, impact, risk, files, validation evidence, and follow-ups. 5. Attach the output to `/ship`, Artifact Bus, or the owning Mission milestone. Treat missing evidence as incomplete, not passed. ## Benchmark 1. Create a versioned dataset of cases and blocking assertions. Record candidate identity, passed/total assertions, cost in integer microunits, duration in milliseconds, and evidence refs. 2. Run: ```bash node .agent/skills/agent-review-benchmark/scripts/index.js benchmark \ --input <benchmark-input.json> --output <benchmark-summary.json> ``` 3. Compare `quality_basis_points`, `cost_microunits`, and `duration_ms` separately. Do not collapse them into an opaque subjective score. 4. Re-run with the same input and require byte-identical output. ## Integrity rules - Require `generated_at` in the input; never inject the current clock into deterministic output. - Sort groups, files, refs, follow-ups, cases, a