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Agent Skill · 开发

plan-local-code-review(计划本地代码审查)

plan-local-code-review 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

plan-local-code-review 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 16,648。

总安装 485周安装 20GitHub Stars 1下载 158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:plan-local-code-review(计划本地代码审查)
来源仓库:https://github.com/codyswanngt/lisa
仓库路径:skills/plan-local-code-review
安装命令:
npx skills add https://github.com/codyswanngt/lisa --skill plan-local-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/codyswanngt/lisa --skill plan-local-code-review

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。

plan-local-code-review 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

它可辅助查询项目进展、分析代码差异、跟踪 Issue 状态或协助生成协作摘要。通过 npx skills add 命令从指定仓库安装,具体用法请参考原始 README。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。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/plan-local-code-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 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/codyswanngt/lisa --skill plan-local-code-revie…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

plan-local-code-review 怎么安装?

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

plan-local-code-review 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。

plan-local-code-review 需要什么权限?

权限级别是只读。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。

plan-local-code-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。

plan-local-code-review 用的人多吗?

公开数据是累计安装 485 次,近一周安装 20 次,下载 158 次,GitHub 1 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。

plan-local-code-review 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

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。

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
plan-local-code-review

计划本地代码审查 · 本页

4851只读未明确通过

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

Provide a code review for the local changes on the current branch compared to the main branch.

To do this, follow these steps precisely:

  1. Use a Haiku agent to check the current git state:

- Run git branch --show-current to get the current branch name - Run git log main..HEAD --oneline to see commits on this branch - Run git diff main...HEAD --stat to see changed files - If the current branch IS main, or there are no commits/changes compared to main, do not proceed.

  1. Use another Haiku agent to give you a list of file paths to (but not the contents of) any relevant CLAUDE.md files from the codebase: the root CLAUDE.md file (if one exists), as well as any CLAUDE.md files in the directories whose files were modified on this branch
  2. Use a Haiku agent to analyze the branch changes:

- Run git log main..HEAD --format="%s%n%b" to get commit messages - Run git diff main...HEAD to get the full diff - Return a summary of the changes

  1. Then, launch 5 parallel Sonnet agents to independently code review the change. The agents should do the following, then return a list of issues and the reason each issue was flagged (eg. CLAUDE.md adherence, bug, historical git context, etc.): a. Agent #1: Audit the changes to make sure they comply with the CLAUDE.md. Note that CLAUDE.md is guidance for Claude as it writes code, so not all instructions will be applicable during code review. b. Agent #2: Read the file changes (via git diff main...HEAD), then do a shallow scan for obvious bugs. Avoid reading extra context beyond the changes, focusing just on the changes themselves. Focus on large bugs, and avoid small issues and nitpicks. Ignore likely false positives. c. Agent #3: Read the git blame and history of the code modified, to identify any bugs in light of that historical context d. Agent #4: Read previous pull requests that touched these files, and check for any comments on those pull requests that may also apply to the current changes. e. Agent #5: Read code comments in the modified files, and make sure the changes comply with any guidance in the comments.
  2. For each issue found in #4, launch a parallel Haiku agent that takes the diff, issue description, and list of CLAUDE.md files (from step 2), and returns a score to indicate the agent's level of confidence for whether the issue is real or false positive. To do that, the agent should score each issue on a scale from 0-100, indicating its level of confidence. For issues that were flagged due to CLAUDE.md instructions, the agent should double check that the CLAUDE.md actually calls out that issue specifically. The scale is (give this rubric to the agent verbatim): a. 0: Not confident at all. This is a false positive that doesn't stand up to light scrutiny, or is a pre-existing issue. b. 25: Somewhat confident. This might be a real issue, but may also be a false positive. The agent wasn't able to verify that it's a real issue. If the issue is stylistic, it is one that was not explicitly called out in the relevant CLAUDE.md. c. 50: Moderately confident. The agent was able to verify this is a real issue, but it might be a nitpick or not happen very often in practice. Relative to the rest of the changes, it's not very important. d. 75: Highly confident. The agent double checked the issue, and verified that it is very likely it is a real issue that will be hit in practice. The existing approach is insufficient. The issue is very important and will directly impact the code's functionality, or it is an issue that is directly mentioned in the relevant CLAUDE.md. e. 100: Absolutely certain. The agent double checked the issue, and confirmed that it is definitely a real issue, that will happen frequently in practice. The evidence directly confirms this.
  3. Filter out any issues with a score less than 80.
  4. Write the review to claude-review.md. When writing your review, keep in mind to: a. Keep your output brief b. Avoid emojis c. Reference relevant files and line numbers
  5. Briefly summarize claude-review.md as direct output to the user

Examples of false positives, for steps 4 and 5:

  • Pre-existing issues
  • Something that looks like a bug but is not actually a bug
  • Pedantic nitpicks that a senior engineer wouldn't call out
  • Issues that a linter, typechecker, or compiler would catch (eg. missing or incorrect imports, type errors, broken tests, formatting issues, pedantic style issues like newlines). No need to run these build steps yourself -- it is safe to assume that they will be run separately as part of CI.
  • General code quality issues (eg. lack of test coverage, general security issues, poor documentation), unless explicitly required in CLAUDE.md
  • Issues that are called out in CLAUDE.md, but explicitly silenced in the code (eg. due to a lint ignore comment)
  • Changes in functionality that are likely intentional or are directly related to the broader change
  • Real issues, but on lines that were not modified in the current branch

Notes:

  • Do not check build signal or attempt to build or typecheck the app. These will run separately, and are not relevant to your code review.
  • Use git commands to analyze local changes (not gh commands for remote PRs)
  • Make a todo list first
  • You must cite each bug with file path and line number (eg. if referring to a CLAUDE.md, you must reference it)
  • For your final output, follow the following format precisely (assuming for this example that you found 3 issues):

Code review for branch <branch-name>

Reviewed X commits with changes to Y files.

Found 3 issues:

  1. **** (CLAUDE.md says "<...>")

- File: path/to/file.ts:L10-L15

  1. **** (some/other/CLAUDE.md says "<...>")

- File: path/to/other-file.ts:L25-L30

  1. **** (bug due to)

- File: path/to/another-file.ts:L5-L8


  • Or, if you found no issues:

Code review for branch <branch-name>

Reviewed X commits with changes to Y files.

No issues found. Checked for bugs and CLAUDE.md compliance.


平台分布

Codex

36.74%
按下载量换算58

Claude

27.92%
按下载量换算44

Cursor

18.8%
按下载量换算30

Gemini CLI

10.5%
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。目前只有一个公开来源,建议同时核对源仓库。

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