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Use when reviewing code before merge to assess correctness, tests, maintainability, security and user impact.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Governs AI models through inventory, purpose, risk tier, approval, monitoring, drift, kill-switch and retirement. Use when introducing, changing or operating models in production or agent workflows.
Applies an Asimov-inspired hierarchy of AI safety laws when material AI or instruction risk is present. Use when harm, unlawful requests, authority conflicts, or safety trade-offs need an explicit law hierarchy. Also known as apply_laws_of_AI.
Use when implementing input validation, output filtering, tool restrictions, policy enforcement, secure coding controls, destructive-tool guardrails, approval gates, or safe agent behaviour.
Use when starting a session or deciding which local skill applies; acts as the meta-skill for discovering and loading the smallest relevant skill.
Use when measuring coding-agent quality, RAG evaluation, regression risk, latency, cost, reliability, safety, or production performance for agent systems.
Designs ontology-driven knowledge graphs for explainable KG-RAG. Use when modelling semantic graphs, ontologies, or graph schemas for retrieval.
| name | code-review-and-quality |
| description | Use when reviewing code before merge to assess correctness, tests, maintainability, security and user impact. |
| aliases | ["pr-review","pull-request-review","review-pr","defects","maintainability"] |
Use this skill when reviewing a diff written by yourself, another agent or a human, or when deciding whether a change is ready to merge.
Identify correctness risks, test gaps, maintainability problems, hidden regressions and security concerns before the change lands.
tdd-practice — tests as review evidencelogical-fallacy-review — invalid reasoning in review commentsgit-workflow-and-versioning — reviewable atomic changesguardrails-safety-patterns — security findings in review