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AI Code Review
作者
371166758-qq
· GitHub ↗
· v1.0.0
· MIT-0
149
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install qf-code-review
功能描述
Provides detailed, prioritized code review feedback on security, performance, correctness, and maintainability issues for multiple major programming languages.
安全使用建议
This skill appears coherent and low-risk because it is purely instructional and requests no credentials or installs. Before using it, make sure: (1) you only give the agent access to the repository or PR you intend it to review (avoid exposing other private repos or secrets), (2) automated suggestions are reviewed by a human before applying changes (the skill will propose code fixes), and (3) you audit any outputs that might include sensitive data found in the reviewed code (for example, hardcoded keys discovered by the review) so they aren't accidentally shared. If you plan to let the agent invoke skills autonomously, be aware the skill can be called during agent runs — that is normal, but ensure agent permissions are scoped appropriately.
功能分析
Type: OpenClaw Skill
Name: qf-code-review
Version: 1.0.0
The skill bundle provides a structured framework for an AI agent to perform code reviews, focusing on security, performance, and maintainability. The instructions in SKILL.md are well-aligned with the stated purpose and do not contain any malicious directives, data exfiltration attempts, or suspicious execution patterns.
能力评估
Purpose & Capability
The name/description ('AI Code Review') matches the SKILL.md instructions: the document defines a structured review process (security, performance, correctness, maintainability) across common languages. It does not request unrelated resources (cloud creds, system binaries, etc.).
Instruction Scope
Runtime instructions are limited to reading code, diffs, commit messages/PR descriptions, and producing review output. There are no steps that tell the agent to access arbitrary system files, external endpoints, or environment variables beyond the code under review. The guidance to 'review the diff' and to use linters/type-checkers is appropriate for the stated purpose.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is downloaded or written to disk by the skill itself. That minimizes install-time risk.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The review tasks described do not appear to require extra credentials. Requested access is proportional to a code-review assistant.
Persistence & Privilege
always is false and no persistent/privileged behavior is requested. The skill is user-invocable and may be invoked autonomously by the agent per platform defaults, which is normal for skills and not a red flag on its own.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install qf-code-review - 安装完成后，直接呼叫该 Skill 的名称或使用
/qf-code-review触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Systematic code review framework covering security vulnerabilities, performance bottlenecks, correctness, and maintainability across Python, JS/TS, Go, Rust, Java.
元数据
常见问题
AI Code Review 是什么？
Provides detailed, prioritized code review feedback on security, performance, correctness, and maintainability issues for multiple major programming languages. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 149 次。
如何安装 AI Code Review？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qf-code-review」即可一键安装，无需额外配置。
AI Code Review 是免费的吗？
是的，AI Code Review 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
AI Code Review 支持哪些平台？
AI Code Review 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 AI Code Review？
由 371166758-qq（@371166758-qq）开发并维护，当前版本 v1.0.0。
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