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cm-code-review-assistantcm 代码审查助理

Agent Skill

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。

总安装

618

周安装

26

GitHub Stars

公开资料未说明

下载量

216
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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