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codex-reviewCodex 审查

Agent Skill

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。

总安装

220

周安装

9

下载量

71
Local Agent

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。

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://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。

简介

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。

SKILL.md

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

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

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

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。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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