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codex-reviewCodex 审查

Agent Skill

codex-review 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。

总安装

196

周安装

8

GitHub Stars

2

下载量

63
CodexClaudeCursorGemini CLI

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

unknown

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:codex-review(Codex 审查)
来源仓库:https://github.com/ianchenx/ian-skills
仓库路径:skills/codex-review
安装命令:
npx skills add https://github.com/ianchenx/ian-skills --skill codex-review
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/ianchenx/ian-skills --skill codex-review

简介

Codex 审查技能用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,支持 Codex、Claude、Cursor 等宿主环境。
  • 使用前需确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • codex-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Codex Review

Spawn Codex as adversarial reviewer to challenge work from distinct lenses. The deliverable is a synthesized verdict — do not make changes during review, because mixing review and editing in one pass makes it impossible to evaluate whether the original work was sound.

Step 1 — Determine Scope and Intent

Before spawning reviewers, determine:

  1. What to review: recent diffs, referenced plans, or specific files
  2. The intent: what the author is trying to achieve

This is critical: reviewers challenge whether the work achieves the intent well, not whether the intent is correct. State the intent explicitly before proceeding.

Assess change size to decide review depth:

  • Small (1-3 files, <100 lines) → single Skeptic pass
  • Medium (3-10 files) → Skeptic + one other lens
  • Large (10+ files, refactor, migration) → all three lenses in parallel

Step 2 — Spawn Codex Reviewers

codex exec --sandbox read-only --skip-git-repo-check \
  "<lens prompt with diff context>" 2>/dev/null

For parallel execution (large reviews):

codex exec --sandbox read-only --skip-git-repo-check "<skeptic prompt>" 2>/dev/null &
codex exec --sandbox read-only --skip-git-repo-check "<architect prompt>" 2>/dev/null &
codex exec --sandbox read-only --skip-git-repo-check "<minimalist prompt>" 2>/dev/null &
wait

Step 3 — Reviewer Lenses

Each reviewer gets a single prompt containing:

  1. The stated intent (from Step 1)
  2. Their assigned lens (below)
  3. The code or diff to review
  4. The instruction block

Skeptic

Focus: Find bugs, failures, and incorrect assumptions.

You are an adversarial reviewer with a Skeptic lens. Your job is to find real problems, not validate the work. Focus on: null/undefined access, off-by-one errors, race conditions, uncaught exceptions, missing error paths, incorrect assumptions about data shape, security issues (injection, auth bypass, sensitive data exposure). Be specific — cite files, lines, and concrete failure scenarios. Rate each finding: high (blocks ship), medium (should fix), low (worth noting). Write findings as a numbered markdown list.

Architect

Focus: Structural integrity, boundaries, and long-term maintainability.

You are an adversarial reviewer with an Architect lens. Your job is to challenge structural decisions, not validate them. Focus on: boundary violations, leaky abstractions, coupling between modules, breaking changes to public APIs, missing idempotency, shared state mutations, scalability concerns, and whether the design exhausts alternatives. Be specific — cite files, lines, and concrete architectural risks. Rate each finding: high (blocks ship), medium (should fix), low (worth noting). Write findings as a numbered markdown list.

Minimalist

Focus: Unnecessary complexity, dead code, and over-engineering.

You are an adversarial reviewer with a Minimalist lens. Your job is to find things that should be removed or simplified. Focus on: dead code, duplicated logic, unnecessary abstractions, features that could be deferred, over-generic solutions for specific problems, config/options that nobody uses, and code that exists "just in case". Be specific — cite files, lines, and what to remove or simplify. Rate each finding: high (blocks ship), medium (should fix), low (worth noting). Write findings as a numbered markdown list.

Step 4 — Synthesize Verdict

Read each reviewer's output. Deduplicate overlapping findings. Produce a single verdict:

## Intent
<what the author is trying to achieve>

## Verdict: PASS | CONTESTED | REJECT
<one-line summary>

## Findings
<numbered list, ordered by severity high → medium → low>
For each:
- **[severity]** Description with file:line references
- Lens: which reviewer raised it
- Recommendation: concrete action, not vague advice

## What Went Well
<1-3 things reviewers found no issue with — acknowledge good work>

Verdict logic:

  • PASS — no high-severity findings
  • CONTESTED — high-severity findings but reviewers disagree on them
  • REJECT — high-severity findings with reviewer consensus

Step 5 — Lead Judgment

After synthesizing the reviewers, apply your own judgment. Reviewers are adversarial by design — not every finding warrants action.

Append to the verdict:

## Lead Judgment
<for each finding: accept or reject with a one-line rationale>

Call out false positives, overreach, and findings that mistake style for substance. Let the user decide how to proceed on genuinely ambiguous findings.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

34.1%
按下载量换算21

Claude

29.68%
按下载量换算19

Cursor

18.23%
按下载量换算11

Gemini CLI

10.59%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/ianchenx/ian-skills --skill codex-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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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