Token导航 LogoToken导航

Agent Skill · 研究检索

review-swarm(评论群)

review-swarm 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。

review-swarm 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 19,091。

总安装 5,766周安装 231GitHub Stars 3,417下载 1,866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:review-swarm(评论群)
来源仓库:https://github.com/dimillian/skills
仓库路径:skills/review-swarm
安装命令:
npx skills add https://github.com/dimillian/skills --skill review-swarm
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/dimillian/skills --skill review-swarm

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。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。根据关键词或任务场景从来源仓库中获取线索,支持多种宿主环境。通过 npx skills add 命令安装,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。review-swarm 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/review-swarm

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/dimillian/skills --skill review-swarm;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

review-swarm 怎么安装?

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

review-swarm 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。

review-swarm 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。

review-swarm 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。

review-swarm 用的人多吗?

公开数据是累计安装 5,766 次,近一周安装 231 次,下载 1,866 次,GitHub 3,417 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。

review-swarm 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。
  • 来源仓库有 3,417 星,维护活跃度相对可查。

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
review-swarm

评论群 · 本页

5,7663,417需要联网未明确通过

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

Review Swarm

Review a diff with four read-only sub-agents in parallel, then have the main agent filter, order, and summarize only the issues that matter. This skill is review-only: sub-agents do not edit files, and the main agent does not apply fixes as part of this workflow.

Step 1: Determine Scope and Intent

Prefer this scope order:

  1. Files or paths explicitly named by the user
  2. Current git changes
  3. An explicit branch, commit, or PR diff requested by the user
  4. Most recently modified tracked files, only if the user asked for a review and there is no clearer diff

If there is no clear review scope, stop and say so briefly.

When using git changes, choose the smallest correct diff command:

  • unstaged work: git diff
  • staged work: git diff --cached
  • mixed staged and unstaged work: review both
  • explicit branch or commit comparison: use exactly what the user requested

Before launching reviewers, read the closest local instructions and any relevant project docs for the touched area, such as:

  • AGENTS.md
  • repo workflow docs
  • architecture or contract docs for the touched module

Build a short intent packet for the reviewers:

  1. What behavior is meant to change
  2. What behavior should remain unchanged
  3. Any stated or inferred constraints, such as compatibility, rollout, security, or migration expectations

If the user did not state the intent clearly, infer it from the diff and say that the inference may be incomplete.

Step 2: Launch Four Read-Only Reviewers in Parallel

Launch four sub-agents when the scope is large enough for parallel review to help. For a tiny diff or one very small file, it is acceptable to review locally instead.

For every sub-agent:

  • give the same scope and the same intent packet
  • state that the sub-agent is read-only
  • do not let the sub-agent edit files, run apply_patch, stage changes, commit, or perform any other state-mutating action
  • ask for concise findings only
  • ask for: file and line or symbol, issue, why it matters, recommended follow-up, and confidence
  • tell the sub-agent to avoid nits, style preferences, and speculative concerns without concrete impact
  • tell the sub-agent to send findings back to the main agent only

Use these four review roles.

Sub-Agent 1: Intent and Regression Review

Review whether the diff matches the intended behavior change without introducing extra behavior drift.

Check for:

  1. Unintended behavior changes outside the stated scope
  2. Broken edge cases or fallback paths
  3. Contract drift between callers and callees
  4. Missing updates to adjacent flows that should change together

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: reviewer

Sub-Agent 2: Security and Privacy Review

Review the diff for security regressions, privacy risks, and trust-boundary mistakes.

Check for:

  1. Missing or weakened authn or authz checks
  2. Unsafe input handling, injection risks, or validation gaps
  3. Secret, token, or sensitive data exposure
  4. Risky defaults, permission expansion, or trust of unverified data

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: reviewer

Sub-Agent 3: Performance and Reliability Review

Review the diff for new cost, fragility, or operational risk.

Check for:

  1. Duplicate work, redundant I/O, or unnecessary recomputation
  2. Added work on startup, render, request, or other hot paths
  3. Leaks, missing cleanup, retry storms, or subscription drift
  4. Ordering, race, or failure-handling problems that make the change brittle

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: reviewer

Sub-Agent 4: Contracts and Coverage Review

Review the diff for compatibility gaps and missing safety nets.

Check for:

  1. API, schema, type, config, or feature-flag mismatches
  2. Migration or backward-compatibility fallout
  3. Missing or weak tests for the changed behavior
  4. Missing logs, metrics, assertions, or error paths that make regressions harder to detect

This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes.

Recommended sub-agent role: reviewer

Report only issues that materially affect correctness, security, privacy, reliability, compatibility, or confidence in the change. It is better to miss a nit than to bury the user in low-value noise.

Step 3: Aggregate and Filter Findings

The main agent owns synthesis. Treat sub-agent output as raw review input, not final output.

Merge findings across all four reviewers and filter aggressively:

  • drop duplicates
  • drop weak or speculative claims
  • drop issues that conflict with the stated intent
  • drop minor style or readability comments unless they hide a real bug or maintenance risk

Normalize surviving findings into this shape:

  1. File and line or nearest symbol
  2. Category: regression, security, reliability, or contracts
  3. Severity: high, medium, or low
  4. Why it matters
  5. Recommended fix or follow-up
  6. Confidence: high, medium, or low

If a reviewer may be correct but the intent is unclear, turn it into an open question instead of a finding.

Step 4: Order the Output

Present findings in this order:

  1. High-severity, high-confidence issues
  2. Medium-severity issues that are likely worth fixing before merge
  3. Lower-severity issues or follow-ups that can wait

Keep the review concise. Findings should be actionable and evidence-backed.

If there are no material issues, say that directly instead of manufacturing feedback.

Step 5: Recommend a Clear Path Forward

After the findings, give the user a short path forward:

  • what to fix before merge
  • what to improve if time permits
  • what can safely be left alone

When helpful, group the path forward into:

  • fix now
  • fix soon
  • optional follow-up

Do not implement fixes as part of this skill. The output is a read-only review plus a prioritized recommendation.

平台分布

Codex

34.55%
按下载量换算645

Claude

30.48%
按下载量换算569

Cursor

20.39%
按下载量换算380

Gemini CLI

10.74%
按下载量换算200

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。

继续浏览同类 Skills