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Agent Skill · 研究检索

agent-reviews(Agent 评论)

agent-reviews 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。

agent-reviews 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 45,077。

总安装 873周安装 36GitHub Stars 158下载 285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:agent-reviews(Agent 评论)
来源仓库:https://github.com/pbakaus/agent-reviews
仓库路径:skills/agent-reviews
安装命令:
npx skills add https://github.com/pbakaus/agent-reviews --skill agent-reviews
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/pbakaus/agent-reviews --skill agent-reviews

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

该技能自动修复 PR 中机器人检测到的所有问题并响应新反馈。采用两阶段确定性流程:先同步修复现有问题,再轮询更新。依赖 gh CLI 查看当前 PR 状态,并调用本地 JavaScript 脚本执行操作。使用前需确保已登录 GitHub 且拥有对应仓库的写权限及网络访问能力。

agent-reviews 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/agent-reviews

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/pbakaus/agent-reviews --skill agent-reviews;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

agent-reviews 怎么安装?

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

agent-reviews 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。

agent-reviews 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。

agent-reviews 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。

agent-reviews 用的人多吗?

公开数据是累计安装 873 次,近一周安装 36 次,下载 285 次,GitHub 158 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。

agent-reviews 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、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。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-reviews

Agent 评论 · 本页

873158需要联网未明确有提醒

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

Automatically review, fix, and respond to findings from PR review bots on the current PR. Uses a deterministic two-phase workflow: first fix all existing issues, then poll once for new ones.

Path note: All scripts/agent-reviews.js references below are relative to this skill's directory (next to this SKILL.md file). Run them with node.

Phase 1: FETCH & FIX (synchronous)

Step 1: Identify Current PR

gh pr view --json number,url,headRefName

If no PR exists, notify the user and exit.

Step 2: Fetch All Bot Comments (Expanded)

Run scripts/agent-reviews.js --bots-only --unanswered --expanded

This shows only unanswered bot comments with full detail: complete comment body (no truncation), diff hunk (code context), and all replies. Each comment shows its ID in brackets (e.g., [12345678]).

If zero comments are returned, print "No unanswered bot comments found" and skip to Phase 2.

Step 3: Process Each Unanswered Comment

For each comment from the expanded output:

A. Evaluate the Finding

Read the referenced code and determine:

  1. TRUE POSITIVE - A real bug that needs fixing
  2. FALSE POSITIVE - Not actually a bug (intentional behavior, bot misunderstanding)
  3. UNCERTAIN - Not sure; ask the user

Likely TRUE POSITIVE:

  • Code obviously violates stated behavior
  • Missing null checks on potentially undefined values
  • Type mismatches or incorrect function signatures
  • Logic errors in conditionals
  • Missing error handling for documented failure cases

Likely FALSE POSITIVE:

  • Bot doesn't understand the framework/library patterns
  • Code is intentionally structured that way (with comments explaining why)
  • Bot is flagging style preferences, not bugs
  • The "bug" is actually a feature or intentional behavior
  • Bot misread the code flow

When UNCERTAIN — use AskUserQuestion:

  • The fix would require architectural changes
  • You're genuinely unsure if the behavior is intentional
  • The "bug" relates to business logic you don't fully understand
  • Multiple valid interpretations exist
  • The fix could have unintended side effects
B. Act on Evaluation

If TRUE POSITIVE: Fix the code. Track the comment ID and a brief description of the fix.

If FALSE POSITIVE: Do NOT change the code. Track the comment ID and the reason it's not a real bug.

If UNCERTAIN: Use AskUserQuestion. If the user says skip, track it as skipped.

Do NOT reply to comments yet. Replies happen after the commit (Step 5).

Step 4: Commit and Push

After evaluating and fixing ALL unanswered comments:

  1. Run your project's lint and type-check
  2. Stage, commit, and push: git add -A git commit -m "fix: address PR review bot findings {List of bugs fixed, grouped by bot}" git push
  3. Capture the commit hash from the output.

Step 5: Reply to All Comments

Now that the commit hash exists, reply to every processed comment:

For each TRUE POSITIVE:

Run scripts/agent-reviews.js --reply <comment_id> "Fixed in {hash}. {Brief description of the fix}"

For each FALSE POSITIVE:

Run scripts/agent-reviews.js --reply <comment_id> "Won't fix: {reason}. {Explanation of why this is intentional or not applicable}"

For each SKIPPED:

Run scripts/agent-reviews.js --reply <comment_id> "Skipped per user request"

DO NOT start Phase 2 until all replies are posted.


Phase 2: POLL FOR NEW COMMENTS (loop until quiet)

The watcher exits immediately when new comments are found (after a 5s grace period to catch batch posts). This means you run it in a loop: start watcher, process any comments it returns, restart watcher, repeat until the watcher times out with no new comments.

Step 6: Start Watcher Loop

Repeat the following until the watcher exits with no new comments:

6a. Launch the watcher in the background:

Run scripts/agent-reviews.js --watch --bots-only as a background task.

6b. Use TaskOutput to wait for the watcher to complete (blocks up to 12 minutes).

6c. Check the output:

  • If new comments were found (output contains EXITING WITH NEW COMMENTS):

1. Use --detail <id> to read each new comment's full detail 2. Process them exactly as in Phase 1, Steps 3-5 (evaluate, fix, commit, push, reply) 3. Go back to Step 6a to restart the watcher

  • If no new comments (output contains WATCH COMPLETE): Stop looping and move to the Summary Report.

Summary Report

After both phases complete, provide a summary:

## PR Review Bot Resolution Summary

### Results
- Fixed: X bugs
- Already fixed: X bugs
- Won't fix (false positives): X
- Skipped per user: X

### By Bot
#### cursor[bot]
- BUG-001: {description} - Fixed in {commit}
- BUG-002: {description} - Won't fix: {reason}

#### Copilot
- {description} - Fixed in {commit}

### Status
✅ All findings addressed. Watch completed.

Important Notes

Response Policy

  • Every finding gets a response - No silent ignores
  • Responses help train bots and document decisions
  • "Won't fix" responses prevent the same false positive from being re-raised

User Interaction

  • Use AskUserQuestion when uncertain about a finding
  • Don't guess on architectural or business logic questions
  • It's better to ask than to make a wrong fix or wrong dismissal

Best Practices

  • Verify findings before fixing - bots have false positives
  • Keep fixes minimal and focused - don't refactor unrelated code
  • Ensure type-check and lint pass before committing
  • Group related fixes into a single commit
  • Copilot suggestion blocks often contain ready-to-use fixes

平台分布

Codex

35.49%
按下载量换算101

Claude

30.59%
按下载量换算87

Cursor

18.26%
按下载量换算52

Gemini CLI

9.17%
按下载量换算26

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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