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Agent Skill · 研究检索

afrexai-code-reviewer(afrexai 代码审查员)

afrexai-code-reviewer 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

afrexai-code-reviewer 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 5,688。

总安装 24,734周安装 1,025GitHub Stars 公开资料未说明下载 7,816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:afrexai-code-reviewer(afrexai 代码审查员)
来源仓库:https://github.com/1kalin/afrexai-code-reviewer
安装命令:
openclaw skills install afrexai-code-reviewer
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 afrexai-code-reviewer

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。

企业级代码审查代理。检查 PR、差异或代码文件中的安全漏洞、性能问题、错误处理差距、架构气味和测试覆盖率。适用于任何语言、任何存储库,无需依赖项。

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 afrexai-code-reviewer;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

afrexai-code-reviewer 怎么安装?

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

afrexai-code-reviewer 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。

afrexai-code-reviewer 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。

afrexai-code-reviewer 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。

afrexai-code-reviewer 用的人多吗?

公开数据是累计安装 24,734 次,近一周安装 1,025 次,下载 7,816 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。

afrexai-code-reviewer 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
afrexai-code-reviewer

afrexai 代码审查员 · 本页

24,734—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
afrexai-code-reviewer
description
Enterprise-grade code review agent. Reviews PRs, diffs, or code files for security vulnerabilities, performance issues, error handling gaps, architecture smells, and test coverage. Works with any language, any repo, no dependencies required.
auto_trigger
false

Code Review Engine

Enterprise-grade automated code review. Works on GitHub PRs, local diffs, pasted code, or entire files. No dependencies — pure agent intelligence.

Quick Start

Review a GitHub PR

Review PR #42 in owner/repo

Review a local diff

Review the staged changes in this repo

Review a file

Review src/auth/login.ts for security issues

Review pasted code

Just paste code and say "review this"


Review Framework: SPEAR

Every review follows the SPEAR framework — 5 dimensions, each scored 1-10:

🔴 S — Security (Weight: 3x)

CheckSeverityExample
Hardcoded secretsCRITICALAPI keys, passwords, tokens in source
SQL injectionCRITICALString concatenation in queries
XSS vectorsHIGHUnsanitized user input in HTML/DOM
Path traversalHIGHUser input in file paths without validation
Insecure deserializationHIGHeval(), pickle.loads(), JSON.parse on untrusted input
Auth bypassCRITICALMissing auth checks on endpoints
SSRFHIGHUser-controlled URLs in server requests
Timing attacksMEDIUMNon-constant-time string comparison for secrets
Dependency vulnerabilitiesMEDIUMKnown CVEs in imported packages
Sensitive data loggingMEDIUMPII, tokens, passwords in log output
Insecure randomnessMEDIUMMath.random() for security-sensitive values
Missing rate limitingMEDIUMAuth endpoints without throttling

🟡 P — Performance (Weight: 2x)

CheckSeverityExample
N+1 queriesHIGHDB call inside a loop
Unbounded queriesHIGHSELECT * without LIMIT on user-facing endpoints
Missing indexes (implied)MEDIUMFrequent WHERE/ORDER on unindexed columns
Memory leaksHIGHEvent listeners never removed, growing caches
Blocking main threadHIGHSync I/O in async context, CPU-heavy in event loop
Unnecessary re-rendersMEDIUMReact: missing memo, unstable refs in deps
Large bundle importsMEDIUMimport _ from 'lodash' vs import get from 'lodash/get'
Missing paginationMEDIUMReturning all records to client
Redundant computationLOWSame expensive calc repeated without caching
Connection pool exhaustionHIGHNot releasing DB/HTTP connections

🟠 E — Error Handling (Weight: 2x)

CheckSeverityExample
Swallowed errorsHIGHEmpty catch blocks, Go _ := on error
Missing error boundariesMEDIUMReact components without error boundaries
Unchecked null/undefinedHIGHNo null checks before property access
Missing finally/cleanupMEDIUMResources opened but not guaranteed closed
Generic error messagesLOWcatch(e) { throw new Error("something went wrong") }
Missing retry logicMEDIUMNetwork calls without retry on transient failures
Panic/exit in library codeHIGHpanic(), os.Exit(), process.exit() in non-main
Unhandled promise rejectionsHIGHAsync calls without .catch() or try/catch
Error type conflationMEDIUMAll errors treated the same (4xx vs 5xx, retriable vs fatal)

🔵 A — Architecture (Weight: 1.5x)

CheckSeverityExample
God functions (>50 lines)MEDIUMSingle function doing too many things
God files (>300 lines)MEDIUMMonolithic module
Tight couplingMEDIUMDirect DB calls in request handlers
Missing abstractionLOWRepeated patterns that should be extracted
Circular dependenciesHIGHA imports B imports A
Wrong layerMEDIUMBusiness logic in controllers, SQL in UI
Magic numbers/stringsLOWHardcoded values without named constants
Missing typesMEDIUMany in TypeScript, missing type hints in Python
Dead codeLOWUnreachable branches, unused imports/variables
Inconsistent patternsLOWDifferent error handling styles in same codebase

📊 R — Reliability (Weight: 1.5x)

CheckSeverityExample
Missing tests for changesHIGHNew logic without corresponding test
Test qualityMEDIUMTests that only check happy path
Missing edge casesMEDIUMNo handling for empty arrays, null, boundary values
Race conditionsHIGHShared mutable state without synchronization
Non-idempotent operationsMEDIUMRetrying could cause duplicates
Missing validationHIGHUser input accepted without schema validation
Brittle testsLOWTests depending on execution order or timing
Missing loggingMEDIUMError paths with no observability
Configuration driftMEDIUMHardcoded env-specific values
Missing migrationsHIGHSchema changes without migration files

Scoring System

Per-Finding Severity

CRITICAL  → -3 points from dimension score
HIGH      → -2 points
MEDIUM    → -1 point
LOW       → -0.5 points
INFO      → 0 (suggestion only)

Overall SPEAR Score Calculation

Raw Score = (S×3 + P×2 + E×2 + A×1.5 + R×1.5) / 10
Final Score = Raw Score × 10  (scale 0-100)

Verdict Thresholds

ScoreVerdictAction
90-100✅ EXCELLENTShip it
75-89🟢 GOODMinor suggestions, approve
60-74🟡 NEEDS WORKAddress findings before merge
40-59🟠 SIGNIFICANT ISSUESMajor rework needed
0-39🔴 BLOCKCritical issues, do not merge

Review Output Template

Use this structure for every review:

# Code Review: [PR title or file name]

## Summary
[1-2 sentence overview of what this code does and overall quality]

## SPEAR Score: [X]/100 — [VERDICT]

| Dimension | Score | Key Finding |
|-----------|-------|-------------|
| 🔴 Security | X/10 | [worst finding or "Clean"] |
| 🟡 Performance | X/10 | [worst finding or "Clean"] |
| 🟠 Error Handling | X/10 | [worst finding or "Clean"] |
| 🔵 Architecture | X/10 | [worst finding or "Clean"] |
| 📊 Reliability | X/10 | [worst finding or "Clean"] |

## Findings

### [CRITICAL/HIGH] 🔴 [Title]
**File:** `path/to/file.ts:42`
**Category:** Security
**Issue:** [What's wrong]
**Impact:** [What could happen]
**Fix:**

// suggested fix


### [MEDIUM] 🟡 [Title]
...

## What's Done Well
- [Genuinely good patterns worth calling out]

## Recommendations
1. [Prioritized action items]

Language-Specific Patterns

TypeScript / JavaScript

  • any type usage → Architecture finding
  • as type assertions → potential runtime error
  • console.log in production code → Style
  • == instead of === → Reliability
  • Missing async/await error handling
  • useEffect missing cleanup return
  • Index signatures without validation

Python

  • Bare except: or except Exception: → Error Handling
  • eval() / exec() → Security CRITICAL
  • Mutable default arguments → Reliability
  • import * → Architecture
  • Missing __init__.py type hints
  • f-strings with user input → potential injection

Go

  • _ := discarding errors → Error Handling HIGH
  • panic() in library code → Reliability HIGH
  • Missing defer for resource cleanup
  • Exported functions without doc comments
  • interface{} / any overuse

Java

  • Catching Exception or Throwable → Error Handling
  • Missing @Override annotations
  • Mutable static fields → thread safety
  • System.out.println in production
  • Missing null checks (pre-Optional code)

SQL

  • String concatenation in queries → Security CRITICAL
  • SELECT * → Performance
  • Missing WHERE on UPDATE/DELETE → Security CRITICAL
  • No LIMIT on user-facing queries → Performance
  • Missing indexes for JOIN columns

Advanced Techniques

Reviewing for Business Logic

Beyond code quality, check:

  • Does the code match the PR description / ticket requirements?
  • Are there edge cases the spec didn't mention?
  • Could this break existing functionality?
  • Is there a simpler way to achieve the same result?

Reviewing for Operability

  • Can this be debugged in production? (logging, error messages)
  • Can this be rolled back safely?
  • Are feature flags needed?
  • What monitoring should accompany this change?

Reviewing Database Changes

  • Is the migration reversible?
  • Will it lock tables during migration?
  • Are there indexes for new query patterns?
  • Is there a data backfill needed?

Security Review Depth Levels

LevelWhenWhat
QuickInternal tool, trusted inputOWASP Top 10 patterns only
StandardUser-facing feature+ auth, input validation, output encoding
DeepPayment, auth, PII handling+ crypto review, session management, audit logging
Threat ModelNew service/API surface+ attack surface mapping, trust boundaries

Integration Patterns

GitHub PR Review

# Get PR diff
gh pr diff 42 --repo owner/repo

# Get PR details
gh pr view 42 --repo owner/repo --json title,body,files,commits

# Post review comment
gh pr review 42 --repo owner/repo --comment --body "review content"

Local Git Review

# Review staged changes
git diff --cached

# Review branch vs main
git diff main..HEAD

# Review last N commits
git log -5 --oneline && git diff HEAD~5..HEAD

Heartbeat / Cron Integration

Check for open PRs in [repo] that I haven't reviewed yet.
For each, run a SPEAR review and post the results as a PR comment.

Edge Cases & Gotchas

  • Large PRs (>500 lines): Break into logical chunks. Review file-by-file. Flag the PR size itself as a finding (Architecture: "PR too large — consider splitting").
  • Generated code: Skip generated files (proto, swagger, migrations from ORMs). Note that you skipped them.
  • Dependency updates: Focus on breaking changes in changelogs, not the lockfile diff.
  • Merge conflicts markers: Flag immediately as CRITICAL — <<<<<<< in code means broken merge.
  • Binary files: Note presence, can't review content.
  • Config changes: Extra scrutiny — wrong env var = production outage.
  • Refactors: Verify behavior preservation. Check if tests still pass conceptually.

Review Checklist (Quick Mode)

For fast reviews when full SPEAR isn't needed:

  • [ ] No hardcoded secrets or credentials
  • [ ] No SQL injection / XSS / path traversal
  • [ ] All errors handled (no empty catch, no discarded errors)
  • [ ] No N+1 queries or unbounded operations
  • [ ] Tests exist for new/changed logic
  • [ ] No console.log / print / fmt.Print left in
  • [ ] Functions under 50 lines, files under 300 lines
  • [ ] Types are specific (no any / interface{})
  • [ ] PR description matches the actual changes
  • [ ] No TODOs without linked issues

平台分布

OpenClaw

88.68%
按下载量换算6,931

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

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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