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Agent Skill · 研究检索

cm-code-review-assistant(cm 代码审查助理)

cm-code-review-assistant 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cm-code-review-assistant 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 50,332。

总安装 618周安装 26GitHub Stars 公开资料未说明下载 216核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cm-code-review-assistant(cm 代码审查助理)
来源仓库:https://github.com/charlie-morrison/cm-code-review-assistant
安装命令:
openclaw skills install cm-code-review-assistant
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cm-code-review-assistant

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

由人工智能驱动的代码审查助手可以分析拉取请求中的错误、安全问题、性能问题和风格违规,并提供可操作的反馈。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install cm-code-review-assistant;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cm-code-review-assistant 怎么安装?

在终端执行 openclaw skills install cm-code-review-assistant。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cm-code-review-assistant 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cm-code-review-assistant 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

cm-code-review-assistant 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cm-code-review-assistant 用的人多吗?

公开数据是累计安装 618 次,近一周安装 26 次,下载 216 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cm-code-review-assistant 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cm-code-review-assistant

cm 代码审查助理 · 本页

618—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
code-review-assistant
description
AI-powered code review assistant that analyzes pull requests for bugs, security issues, performance problems, and style violations with actionable feedback.
metadata
tags
["code-review", "pull-request", "quality", "security", "development"]

Code Review Assistant

Perform thorough AI-powered code reviews on pull requests or local changes. Analyzes diffs for bugs, security vulnerabilities, performance issues, maintainability concerns, and style violations. Provides actionable, specific feedback — not generic advice.

Usage

"Review the current PR"
"Review the changes on this branch vs main"
"Review these specific files for security issues"
"Do a deep review of the authentication changes"

How It Works

1. Gather Changes

Collect the diff and context:

# PR review
gh pr diff <number> --color=never

# Branch review
git diff main...HEAD

# Staged changes
git diff --cached

Also gather:

  • File history (recently changed = higher risk)
  • Test coverage for changed files
  • Related open issues or previous reviews

2. Multi-Pass Analysis

Each pass focuses on a different concern:

Pass 1 — Correctness:

  • Logic errors (off-by-one, null handling, race conditions)
  • Edge cases not covered (empty input, boundary values, overflow)
  • Error handling gaps (uncaught exceptions, missing error propagation)
  • State management issues (stale closures, mutation of shared state)
  • Concurrency bugs (deadlocks, data races, missing synchronization)

Pass 2 — Security:

  • Injection vulnerabilities (SQL, command, XSS, template)
  • Authentication/authorization gaps
  • Sensitive data exposure (logs, errors, responses)
  • Insecure cryptography or random number generation
  • Missing input validation at trust boundaries
  • Hardcoded secrets or credentials

Pass 3 — Performance:

  • N+1 query patterns
  • Missing or incorrect caching
  • Unnecessary allocations in hot paths
  • Blocking operations in async contexts
  • Missing pagination or unbounded queries
  • Inefficient algorithms (quadratic loops on large data)

Pass 4 — Maintainability:

  • Complex functions that should be split (cyclomatic complexity >10)
  • Missing or misleading names
  • Dead code or unreachable branches
  • Duplicated logic that should be extracted
  • Missing types or overly broad types (any, Object)
  • Tight coupling between modules

Pass 5 — Testing:

  • Changed logic without corresponding test changes
  • Test quality (testing implementation vs behavior)
  • Missing edge case tests
  • Flaky test patterns (timing, ordering, external deps)
  • Adequate error path coverage

3. Severity Classification

Each finding gets a severity:

  • 🔴 Must Fix: Bug, security issue, data loss risk, crash
  • 🟡 Should Fix: Performance issue, maintainability concern, missing test
  • 🟢 Consider: Style improvement, minor optimization, suggestion
  • 💡 Nitpick: Optional improvement, personal preference

4. Actionable Feedback

Every comment includes:

  • What: The specific issue found
  • Where: Exact file and line number
  • Why: Why this is a problem (not just "this is bad")
  • How: Concrete fix suggestion with code

5. Summary

Overall assessment with:

  • Risk level (safe to merge / needs changes / needs redesign)
  • Top 3 most important findings
  • Positive observations (good patterns, improvements)
  • Suggested follow-up items (not blocking merge)

Output

## Code Review Summary

**Risk Level:** 🟡 Needs Changes (2 must-fix, 4 should-fix)
**Files Reviewed:** 12 files, +342/-89 lines

### 🔴 Must Fix

1. **SQL Injection in user search** — `src/api/users.ts:47`
   The search query interpolates user input directly:

// Current (vulnerable) db.query(SELECT * FROM users WHERE name LIKE '%${query}%') // Fix: use parameterized query db.query('SELECT * FROM users WHERE name LIKE $1', [%${query}%])


2. **Race condition in balance update** — `src/services/wallet.ts:112-118`
   Read-then-write without transaction. Two concurrent requests
   can both read the same balance and overwrite each other.
   Fix: wrap in a database transaction with SELECT FOR UPDATE.

### 🟡 Should Fix

3. **N+1 query in order listing** — `src/api/orders.ts:23`
   Each order triggers a separate query for user details.
   Use a JOIN or batch load users by ID.

4. **Missing error handling** — `src/services/payment.ts:67`
   API call result is not checked for errors before accessing `.data`.

[...]

### 👍 Good Stuff
- Clean separation of concerns in the new service layer
- Comprehensive input validation on the registration endpoint
- Good use of TypeScript discriminated unions for payment status

### 📋 Follow-up (non-blocking)
- Consider adding request rate limiting to the search endpoint
- The `formatDate` utility is duplicated in 3 files — extract to shared utils

Configuration

The review depth adapts to PR size:

  • Small (<100 lines): Full deep review, every line examined
  • Medium (100-500 lines): Focused review on high-risk areas
  • Large (500+ lines): Architectural review + spot-check critical paths, suggest splitting PR

Integration

Works with:

  • GitHub PRs (via gh CLI)
  • GitLab MRs (via glab CLI)
  • Local git branches (via git diff)
  • Patch files (via git apply --stat)

平台分布

OpenClaw

91.62%
按下载量换算198

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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