← ClaudeAtlas

adversarial-reviewlisted

Perform rigorous, risk-first review after design and implementation.
Eliyce/paqad-ai · ★ 4 · AI & Automation · score 76
Install: claude install-skill Eliyce/paqad-ai
## What It Does Runs a risk-first review that looks for correctness defects, rollback hazards, missing coverage, and weak assumptions before work is treated as complete. ## Use This When Use this after design or implementation when the change is medium or high risk, customer-facing, security-sensitive, or hard to roll back safely. ## Inputs - Read the request, accepted plan, code or doc diffs, and any claimed verification results. - Read the most relevant canonical docs for the changed behavior. - Read `references/review-dimensions.md` before structuring findings. ## Procedure 1. Run `scripts/digest-evidence.sh` to flatten `.paqad/session/verification-evidence.json` into a `gate | category | file:line | ac_id | message` table; cite this table directly when anchoring findings. 2. Review the diff and digest against the dimensions in `references/review-dimensions.md` — correctness, safety, performance, docs drift, verification sufficiency. 3. Prioritize user-visible failure, data corruption, migration risk, and contract breakage above style. 4. Draft the output following `assets/output.template.md`. Severity tags must come from `assets/severity-ranks.txt`. Order findings non-increasing by severity. 5. Validate with `scripts/lint-findings.sh` before returning — exit 0 means the structural contract is met. ## Output Contract - Match `assets/output.template.md`: `## Findings` heading, one bullet per finding tagged `**Critical|High|Medium|Low**`, each citing concrete `file: