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Agent Skill · 开发

codex-review(Codex 审查)

codex-review 用于补充开发相关能力,适合在 Local Agent 中需要让 Agent 承接开发相关任务时使用。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。

codex-review 是开发类 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,按安装量在开发类的 21,746 个 Skill 里排第 20,462。

总安装 220周安装 9下载 71核验 2026-05-01
开发需要联网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:codex-review(Codex 审查)
来源仓库:https://smithery.ai
仓库路径:codex-review
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

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

codex-review 用于补充开发相关能力,适合在 Local Agent 中需要让 Agent 承接开发相关任务时使用。它利用 Codex 模型进行代码审查和反馈,适用于快速识别潜在问题。可结合来源仓库和原始 README 继续核验具体用法,确认模型调用方式和限制。

安装前建议确认权限范围、维护状态,以及是否会触发联网请求。注意该技能的安装方式尚不明确,需进一步核实兼容性。

来源仓库内路径:codex-review

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 codex-review。

  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

codex-review 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 codex-review。

codex-review 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。

codex-review 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。

codex-review 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。

codex-review 用的人多吗?

公开数据是累计安装 220 次,近一周安装 9 次,下载 71 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。

codex-review 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
codex-review

Codex 审查 · 本页

220—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

Codex Review

Use this skill when you need a second perspective on work in progress. Codex excels at identifying gaps in reasoning, missing requirements, architectural concerns, and flawed assumptions - especially early in the planning process when issues are cheapest to fix.

When to Use

Invoke this skill when the user wants an external perspective, especially during early phases:

  • Brainstorming sessions - validating ideas and approaches
  • Requirements gathering - checking for gaps or contradictions
  • Design documents - reviewing architecture and technical decisions
  • Implementation plans - validating approach before writing code
  • Occasionally: reviewing code or diffs when explicitly requested

How to Invoke Codex

Codex runs in non-interactive mode via codex exec. Pass all content directly via stdin.

Command template:

printf "%s" "$CONTENT_TO_REVIEW" | codex exec \
  -m "gpt-5.1-codex-max" \
  -c 'model_reasoning_effort="high"' \
  -s read-only \
  -

The - at the end tells Codex to read the prompt from stdin. Use printf "%s" instead of echo to safely handle content with backslashes or leading dashes.

Preparing the Content

Before invoking Codex, gather all relevant context into a single prompt. Codex has no access to the filesystem or any context beyond what you provide.

Important: Strip sensitive data (API keys, tokens, credentials, secrets) from content before sending to Codex. If the context is unclear or you need specific focus areas, prompt the user for guidance.

For brainstorming or ideas:

## Review Request: Idea Validation

Please review the following ideas/approach for gaps, risks, and flawed assumptions.

### Proposal:
<the idea, approach, or brainstorm output>

### Context:
<problem being solved, constraints, goals>

For requirements:

## Review Request: Requirements

Please review these requirements for completeness, contradictions, and missing edge cases.

### Requirements:
<the requirements>

### Context:
<what system/feature these are for>

For design documents:

## Review Request: Design

Please review the following design for gaps, risks, and potential issues.

### Design:
<the design document or architecture>

### Context:
<background, constraints, goals>

For code or diffs (when explicitly requested):

Fetch the content using the project's VCS (git, jj, etc.) with color codes stripped. Frame the request appropriately:

## Review Request: Implementation

Please review the following for correctness, edge cases, and potential issues.

### Content:
<code or diff>

### Context:
<what this does, why it was changed>

The Review Prompt

Always append these instructions to ensure structured output:

---

## Output Format

Provide your review in the following sections only:

### Blocking Issues
Issues that MUST be addressed before proceeding. These are bugs, security vulnerabilities, logic errors, or design flaws that would cause problems.

### Non-blocking Issues
Suggestions for improvement that are not critical. Style concerns, minor optimizations, or alternative approaches worth considering.

### Outstanding Questions
Questions that need clarification from the author. Ambiguities in requirements, unclear design decisions, or missing context.

### Further Ideas
Optional enhancements or future considerations. Ideas that could improve the work but are out of scope for now.

If a section has no items, write "None identified."

Full Example

# Build the prompt with content and output format instructions
PROMPT=$(cat <<'REVIEW_EOF'
## Review Request: Design

Please review the following design for gaps, risks, and potential issues.

### Design:
We're building a caching layer for our API. The plan is:
1. Use Redis for distributed caching
2. Cache all GET responses for 5 minutes
3. Invalidate on any write operation to related resources
4. Fall back to database on cache miss

### Context:
- High-traffic API (~10k requests/minute)
- Eventually consistent is acceptable
- Must not serve stale data after writes

### Additional Focus:
Pay attention to cache invalidation edge cases.

---

## Output Format

Provide your review in the following sections only:

### Blocking Issues
Issues that MUST be addressed before proceeding. These are bugs, security vulnerabilities, logic errors, or design flaws that would cause problems.

### Non-blocking Issues
Suggestions for improvement that are not critical. Style concerns, minor optimizations, or alternative approaches worth considering.

### Outstanding Questions
Questions that need clarification from the author. Ambiguities in requirements, unclear design decisions, or missing context.

### Further Ideas
Optional enhancements or future considerations. Ideas that could improve the work but are out of scope for now.

If a section has no items, write "None identified."
REVIEW_EOF
)

# Invoke Codex
printf "%s" "$PROMPT" | codex exec \
  -m "gpt-5.1-codex-max" \
  -c 'model_reasoning_effort="high"' \
  -s read-only \
  -

After the Review

  1. Display the full review report to the user
  2. Prompt the user to:

- Answer any outstanding questions - Address blocking issues (these should be resolved) - Comment on non-blocking issues and further ideas (accept, reject, or defer)

  1. If the user wants to address issues, help them implement the fixes
  2. Consider re-running the review after significant changes

平台分布

Local Agent

73.42%
按下载量换算52

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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