菜单
Use when reviewing code before merge to assess correctness, tests, maintainability, security and user impact.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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