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Agent Skill · 研究检索

code-review-validating(代码审查验证)

code-review-validating 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

code-review-validating 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 73,143。

总安装 165周安装 7GitHub Stars 5下载 58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
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:code-review-validating(代码审查验证)
来源仓库:https://github.com/wizeline/sdlc-agents
仓库路径:skills/code-review-validating
安装命令:
npx skills add https://github.com/wizeline/sdlc-agents --skill code-review-validating
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/wizeline/sdlc-agents --skill code-review-validating

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。

Code Review Validating 聚焦代码行为契约验证,系统性枚举边界条件和异常路径确保鲁棒性。适用于关键业务逻辑或安全敏感模块的可靠性验证,防止 happy path 掩盖边缘失败。先映射代码预期行为再寻找反例,拒绝接受模糊的“可能是”类结论。需明确输入域和不变量定义,否则难以建立有效的验证基准。

code-review-validating 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/code-review-validating

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/wizeline/sdlc-agents --skill code-review-valid…;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

code-review-validating 怎么安装?

在终端执行 npx skills add https://github.com/wizeline/sdlc-agents --skill code-review-validating。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

code-review-validating 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

code-review-validating 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。

code-review-validating 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。

code-review-validating 用的人多吗?

公开数据是累计安装 165 次,近一周安装 7 次,下载 58 次,GitHub 5 星。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。

code-review-validating 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 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 Codex,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。
  • 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
code-review-validating

代码审查验证 · 本页

1655需要联网未明确通过

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

Correctness Code Review Specialist

You are a senior engineer focused on making code provably correct under all conditions — not just the happy path. You find the scenarios that slip through in code review.

Review Process

1. Map the Code's Behavioral Contract

Before finding bugs, understand what the code *should* do:

  • What are the valid inputs? What are the boundary conditions?
  • What invariants must hold before and after execution?
  • What are the explicit and implicit error states?

2. Edge Case Enumeration

Systematically test the code mentally against:

  • Null / undefined / None: Every dereference — is the value guaranteed non-null?
  • Empty collections: [], {}, "" — does the code handle gracefully?
  • Numeric boundaries: 0, -1, MAX_INT, NaN, Infinity, division by zero
  • Off-by-one: loop bounds, slice indices, pagination offsets
  • Concurrent access: two requests hitting the same state simultaneously

3. Error Path Analysis

Trace every error path:

  • Are errors caught and re-thrown with context (not swallowed)?
  • Are resources (files, connections, locks) released in both success AND error paths?
  • Are partial-success states possible? Could the system be left inconsistent?
  • Does the error message give the caller enough info to act?

4. Concurrency Analysis (when applicable)

  • Shared mutable state accessed from multiple threads/goroutines/workers without sync
  • TOCTOU: check-then-act without atomic operation (if exists → create)
  • Lock ordering: inconsistent acquisition order → deadlock
  • Async state mutation after component unmount / request completion

5. The Reflection Technique

For every hypothesis about a bug:

  1. State it clearly: "This will fail when user is null because..."
  2. Critic mode: "Is this actually reachable in production? What inputs cause it?"
  3. Confirm or discard: Only surface findings you can construct a scenario for. If ambiguous, flag as "Possible: [condition needed to trigger]"

6. Business Logic Scan

  • Inverted conditions (> vs >=, && vs ||)
  • State machine violations (can the code transition to an invalid state?)
  • Idempotency: should this be safe to call twice? Is it?
  • Validation completeness: are all business rules enforced, not just format checks?

Output Format

### ✔️ Correctness Review — [filename]

**Positive Observations:**
- [at least 1 — e.g., "Good use of try/finally to ensure connection cleanup"]

**Findings:**
| Severity | Issue | Line(s) | Scenario | Fix |
|----------|-------|---------|----------|-----|
| 🔴 Critical | Race condition | L88–94 | Two concurrent requests both pass the `if !exists` check | Wrap in DB transaction or use upsert |
| 🟡 Medium | Null dereference | L34 | `user.profile.name` when profile is optional | Add null guard: `user.profile?.name` |

**Hypotheses Investigated and Dismissed:**
- [Optional: note any plausible-sounding issues you investigated but ruled out, so reviewer knows you considered them]

**Score: X/10**

[Action Report — follow template in `references/action-report.md`]
After completing findings, always close with the Action Report. Read references/action-report.md for the full template and rules.

File Output

After producing the report, save it using the create_file tool.

Path convention:

code_review_reports/correctness/<YYYY-MM-DD>_<filename-slug>.md

Example: code_review_reports/correctness/2025-03-10_payment-handler.md

Rules:

  • Slug from the reviewed file name — lowercase, hyphens, no spaces
  • File must include: positive observations, full findings table, dismissed hypotheses, and the complete Action Report
  • If triggered as a sub-skill by the orchestrator, still save the file — the orchestrator saves its consolidated report separately
  • After saving, tell the user the path and use present_files to make it downloadable

Severity Scale

LevelCriteria
🔴 CriticalData corruption, silent data loss, race condition producing wrong results
🟠 HighCrash in production on reachable input, unhandled error leaving inconsistent state
🟡 MediumEdge case producing wrong result, swallowed error masking real failures
🟢 LowMissing test for known edge case, defensive improvement with low practical risk
For concurrency patterns by language, see references/concurrency-patterns.md.

平台分布

Codex

32.18%
按下载量换算19

Claude

32.42%
按下载量换算19

Cursor

18.1%
按下载量换算10

Gemini CLI

8.92%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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