openclaw-code-review-skill

对 Pull Request 或代码 Diff 进行结构化审查，使用多 Agent 并行审查 + 置信度评分过滤误报。触发：/code-review、审查 PR、代码审查

This skill largely does what it says: it expects the GitHub CLI and access to the repository (local git or network-accessible PR) and will use those to read PR data, git history, and optionally post comments. Before installing or using it: 1) Confirm your environment has gh authenticated with the intended GitHub account and that you are comfortable that the skill will act with those permissions. 2) Ask the author or maintainer what 'sessions_spawn' is and whether spawned agents make external model/API calls or require additional credentials. 3) Note the docs mismatch (some README/README_SOURCE say 4 agents while SKILL.md defines 3) and get clarity on exact agent behavior. 4) Test on a non-sensitive repository to confirm the confidence-threshold and pre-existing-issue filtering don't hide important findings. If you need higher assurance, request an explicit statement from the author about no hidden network exfiltration and how agent spawning is implemented.

Type: OpenClaw Skill Name: openclaw-code-review-skill Version: 1.0.1 The skill implements a structured code review workflow by leveraging the GitHub CLI (`gh`) to fetch PR data and spawning parallel sub-agents to analyze compliance, logic errors, and Git history. The instructions in SKILL.md are well-defined, align with the stated purpose of automating code reviews, and include a confidence-scoring mechanism to filter results, with no evidence of data exfiltration or malicious execution.