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Agent Skill · 研究检索

afrexai-code-reviewer(afrexai 代码审查员)

afrexai-code-reviewer 用于查找、检索和筛选相关信息,适合在 Local Agent 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。

afrexai-code-reviewer 是研究检索类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为需要联网;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 47,393。

总安装 734周安装 30下载 238核验 2026-05-01
研究检索需要联网unknown未标认证来源可访问许可证需确认审计未展示Local Agent

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。
许可证
unknown

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://skills.volces.com
仓库路径:afrexai-code-reviewer
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

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。

afrexai-code-reviewer 用于查找、检索和筛选相关信息,适合在 Local Agent 中根据关键词或代码审查线索快速定位候选结果时使用。它可能专注于代码质量分析与协作流程支持,适用于开发团队的技术评审。目前安装方式尚未明确,建议通过 skills.volces.com 查看部署指南。

使用前应确认其对代码仓库的访问权限与审查规则配置。建议结合项目编码规范验证其建议准确性与可操作性。

来源仓库内路径:afrexai-code-reviewer

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 Local Agent;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

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 afrexai-code-reviewer。

  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?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 afrexai-code-reviewer。

afrexai-code-reviewer 支持哪些 AI 工具?

公开资料标注支持 Local Agent。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?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

afrexai-code-reviewer 用的人多吗?

公开数据是累计安装 734 次,近一周安装 30 次,下载 238 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?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Local Agent,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

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 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

734—需要联网未明确未收录

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

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

Local Agent

97.25%
按下载量换算231

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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