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codex-code-reviewCodex 代码审查

Agent Skill

codex-code-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

661

周安装

27

GitHub Stars

15

下载量

214
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-code-review(Codex 代码审查)
来源仓库:https://github.com/nickcrew/claude-ctx-plugin
仓库路径:skills/codex-code-review
安装命令:
npx skills add https://github.com/nickcrew/claude-ctx-plugin --skill codex-code-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/nickcrew/claude-ctx-plugin --skill codex-code-review

简介

Codex 代码审查工具提供代码质量检查和改进建议。

  • 适合代码评审、技术债务管理和重构指导场景。codex-code-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 支持风格检查、潜在 bug 和安全漏洞识别。
  • 使用时需结合具体编程语言和项目规范进行调整。
  • 建议优先处理高风险问题和影响范围大的修改。

SKILL.md

Codex Code Review Loop

Overview

This skill orchestrates the complete remediation workflow for code under review by the codex agent. It handles:

  • Requesting reviews from codex using the codex --full-auto c CLI
  • Parsing review output to identify P0 (security/correctness), P1 (reliability), P2-P4 (quality) findings
  • Remediating critical issues through up to 3 review-fix-review cycles
  • Deferring quality improvements to backlog with implementation plans and origin:ai-review labels
  • Monorepo handling for selective file commits when working alongside other agents
  • Circuit breaker escalation after 3 cycles if P0/P1 issues persist

When to Use

Trigger this skill when code requires codex review. Common usage patterns:

  • "codex review this code" — Initiate review loop on current changes
  • "run codex review on my changes" — Same as above
  • "codex review --uncommitted" — Review all uncommitted changes
  • "codex review --commit " — Review specific commit in monorepo
  • Questions about codex (e.g., "how does codex work?") — Do not trigger this skill; answer directly

Do not trigger on questions. Only activate for direct review requests.


The Review Loop: Step by Step

ENTRY: User requests codex review or skill is triggered by "codex review" in a message

┌──────────────────────────┐
│ 1. INVOKE CODEX REVIEW   │ ← Run: codex --full-auto c [--uncommitted|--commit <SHA>|--base <BRANCH>]
└──────┬───────────────────┘   Output goes to .agent/reviews/review-<timestamp>.md
       │
       ▼
┌──────────────────────────┐
│ 2. READ & PARSE REVIEW   │ ← Read markdown file, extract P0/P1/P2-P4 findings and verdict
└──────┬───────────────────┘
       │
       ├─────────────────────────────────────────┐
       │                                         │
       ▼                                         ▼
  ANY P0/P1?              NO         FILE P2-P4 ISSUES → Exit loop
       │                              (via backlog CLI)
       │ YES                         Create issue per finding with
       │                             - label: origin:ai-review
  ┌────────────────┐                - Implementation plan
  │ 3. REMEDIATE   │                - Priority (P2 or P3)
  │ P0/P1 FINDINGS │
  └────┬───────────┘
       │ (amend commit or new changes)
       │
       ▼
  ┌──────────────────────┐
  │ 4. LOOP CHECK        │
  │ Cycle count < 3?     │
  └────┬───────────────┬─┘
       │ YES           │ NO
       │               └─→ SUMMARIZE & ASK USER TO CONTINUE
       │                   (or exit if user declines)
       ▼
  Re-run codex review (step 1, same files/scope)
  Loop back to step 2

Cycle Management

  • Cycle 1: Initial review after implementation
  • Cycle 2: After first remediation
  • Cycle 3: After second remediation
  • After Cycle 3: If P0/P1 remain, stop. Summarize findings and ask user if they want to continue (rare; usually indicates design-level issues)

Decision Tree: Handling Findings

When review shows P0/P1 findings (verdict: REQUEST CHANGES)

  1. Read the codex review markdown file
  2. Extract each P0 and P1 finding with:

- Finding ID and title - File location - Suggested fix

  1. Fix ONLY the cited findings in the code
  2. Do NOT refactor, do NOT introduce new functionality
  3. If a fix requires significant design changes, note this and let codex re-evaluate on next cycle
  4. Amend your commit OR create a new one (user's choice via git config; by default amend to keep one commit at end)
  5. Increment cycle counter and re-run codex review

When review shows P2-P4 findings (verdict: APPROVE or PASS WITH ISSUES)

  1. For each P2/P3 finding, decide:

- Fix now: You have discretion; implement the improvement in the same cycle - Defer: Create a backlog issue with: - Type label: remediation - Severity label: P2 or P3 - Custom label: origin:ai-review - Implementation plan based on codex's suggested approach - Acceptance criteria from the review

  1. Examples: # P2 finding deferred to backlog backlog task create "Code clarity: add docstring to validateInput()" \ -d "Review finding: missing documentation on public function" \ -l remediation -p 2 \ --ac "Add docstring explaining parameter types and return value" \ --plan "Add JSDoc comment above function definition per project style"

When review shows no findings (verdict: APPROVE)

Exit the loop. Code is clean. Proceed to test review (if applicable) or commit for merge.


Monorepo Handling

In a monorepo with multiple agents, be selective about what you commit and what scope you review.

Scenario 1: Only Your Changes

If the working directory has ONLY your changes:

codex --full-auto c --uncommitted

Commit your changes once review loop completes.

Scenario 2: Mixed Changes (You + Other Agents)

If there are untracked or uncommitted changes from other agents:

  1. Commit ONLY your files first: git add <your-files-only> git commit -m "Your commit message"
  2. Note the commit SHA
  3. Run review on your commit: codex --full-auto c --commit <SHA>
  4. Remediate by amending your commit: git add <fixed-files> git commit --amend --no-edit (Preserve the original message; the amend adds the fixes)
  5. Loop back to review as normal

Result: One clean commit with your changes and fixes. Other agents' work remains separate.


File Locations

  • Review output: .agent/reviews/review-<timestamp>.md (relative to project root)
  • One review file per cycle — new file created on each codex --full-auto c invocation
  • Always read the latest file — check the timestamp to ensure you're reading the current cycle's review

Bundled References

See references/codex-cli-reference.md for:

  • Complete codex CLI syntax and invocation patterns
  • How to select --uncommitted vs. --commit vs. --base
  • When to use each mode

See references/review-format.md for:

  • Structure of the review markdown output
  • How to parse P0/P1/P2/P3 sections
  • How to identify the verdict (APPROVE / REQUEST CHANGES / BLOCKED)
  • Example review output

See references/backlog-integration.md for:

  • How to create backlog issues from deferred findings
  • Label and priority conventions
  • Implementation plan templates
  • Examples of issues filed from reviews

See scripts/parse_codex_review.sh for:

  • Helper script to extract findings from review markdown
  • Counts P0/P1/P2/P3 per cycle
  • Quick verdict extraction

Key Rules

  1. All P0/P1 must be fixed before exiting the loop. No exceptions.
  2. P2-P4 can be deferred to backlog or fixed at your discretion.
  3. File one issue per finding — do not batch unrelated P2/P3s into one issue.
  4. Deferred issues must include a plan — codex identified the problem; you provide the structured approach.
  5. Amend commits (not new commits) during remediation so you end with one clean commit.
  6. Max 3 review cycles — after cycle 3, if P0/P1 remain, summarize and ask user to continue.
  7. In monorepos, commit selectively — review and fix only the files you touched.

Escalation: When Circuit Breaker Triggers

After 3 review cycles, if P0/P1 findings persist:

  1. Stop remediating. Do not attempt a 4th cycle.
  2. Produce a structured summary including:

- What was attempted in each cycle - What P0/P1 findings remain - Why they persist (agent assessment — design issue? conflicting requirements? ambiguity in spec?) - Recommended human action

  1. Present this summary to the user and ask how to proceed.

Escalation usually indicates the original task spec needs clarification or the code requires architectural changes beyond remediation scope.


Integration with Other Skills

  • backlog-md: File deferred P2/P3 findings using backlog task create with origin:ai-review label
  • git-ops: Commit handling, amending, and selective staging in monorepos
  • requesting-code-review: Use after codex review loop completes if human code review is also required

Quick Reference: The Full Workflow

1. User: "codex review"
        │
        ▼
2. Invoke: codex --full-auto c --uncommitted
        │
        ▼
3. Read: .agent/reviews/review-<timestamp>.md
        │
        ├─────────────────────────────────────────┐
        ▼                                         ▼
   P0/P1 FOUND?              NO         FILE P2-P4 ISSUES
   ├─ YES: Fix + Loop ────────────────► backlog task create ... --plan "..."
   └─ NO: File P2-P4 → Exit            (each finding = one issue)
        │
        ├─ Cycle 1 → Fix → Review
        ├─ Cycle 2 → Fix → Review
        ├─ Cycle 3 → Fix → Review
        │
        └─ If P0/P1 remain → Summarize + Ask User
                │
                └─► Continue? (rare) / Stop & Escalate

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

36.1%
按下载量换算77

Claude

27.62%
按下载量换算59

Cursor

19.06%
按下载量换算41

Gemini CLI

7.88%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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