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Agent Skill · 研究检索

review(审查)

review 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 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,权限为调用外部服务;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 37,589。

总安装 1,711周安装 72GitHub Stars 1下载 599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(审查)
来源仓库:https://github.com/open-horizon-labs/skills
仓库路径:skills/review
安装命令:
npx skills add https://github.com/open-horizon-labs/skills --skill 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/open-horizon-labs/skills --skill review

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。

review 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。它主要面向研究检索类任务,可辅助 Agent 从多个维度组织信息。

通过 npx skills add 命令安装指定仓库中的 skill 模块即可调用。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 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

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/open-horizon-labs/skills --skill review;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

    它需要调用外部服务,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 怎么安装?

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

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。

review 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

review 用的人多吗?

公开数据是累计安装 1,711 次,近一周安装 72 次,下载 599 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。

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。

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

审查 · 本页

1,7111调用外部服务未明确通过

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

A second opinion before committing. Checks alignment between intent and execution, detects drift, and decides: continue, adjust, or salvage.

Part of the Intent → Execution → Review loop at every scale — from a single commit to a multi-week project. Review closes the loop.

When to Use

Invoke /review when: before committing, at natural pause points, something feels off, scope seems to have grown, or before PRs.

Do not use when: You're in deep flow and making progress. Review at natural breaks, not arbitrary intervals.

Review Lenses

Default to the core workflow review in this file. When the artifact being reviewed needs a sharper domain lens, load the matching supporting reference:

Use these as lenses, not replacement workflows. The final review still answers the core /review questions: aim, alignment, sufficiency, mechanism, drift, completion, and next action.

The Review Process

Step 1: State the Original Aim

"The aim was: [original intent in one sentence]"

If you can't state the aim clearly, that's the first finding.

Step 2: Check Alignment

Ask five questions. Keep them artifact-neutral; load a review lens only when the artifact needs domain-specific judgment.

  1. Necessary? — Does this still need to exist now, or did speculative work creep in?
  2. Aligned? — Does the current work still serve the original aim?
  3. Sufficient? — Is this enough for the aim without unnecessary scope, abstraction, or entanglement?
  4. Mechanism clear? — Can you state why this approach should produce the intended outcome?
  5. Complete? — Are promised characteristics, dependencies, verification, and handoff covered?

If RNA MCP is available, check work against guardrails (oh_search_context with artifact_types: ["guardrail"]) and declared outcomes (outcome_progress).

Step 3: Detect Drift

Drift is the gap between where you started and where you are. Explicitly name any drift found:

Scope Drift — task grew beyond original boundaries Solution Drift — approach changed from plan Goal Drift — aim itself shifted without explicit decision

For each drift:

Drift: [type]
Started as: [original]
Became: [current]
Impact: [what this means]

Step 4: Decide Next Action

DecisionWhenAction
ContinueAligned, on trackProceed with confidence
AdjustMinor drift, recoverableCorrect course and continue
PauseUnclear aim or major questionsStop, clarify, then resume
SalvageSignificant drift, restart neededExtract learning with /salvage

If the review surfaces new hard constraints, record them (oh_record_guardrail_candidate).

Output Format

## Review Summary

**Aim:** [original intent]
**Status:** [Continue / Adjust / Pause / Salvage]

### Alignment Check
- Necessary: [Yes/No - brief note]
- Aligned: [Yes/No - brief note]
- Sufficient: [Yes/No - brief note]
- Mechanism clear: [Yes/No - brief note]
- Changes complete: [Yes/No - brief note]

### Drift Detected
[List any drift found, or "None detected"]

### Needs Human Verification
Claims that cannot be self-checked by the model and require independent human judgment:
- [claim or assumption that needs external confirmation]
- [one-way decision that was not independently challenged]
- [delivered characteristic that was asserted but not externally observed]

If this section is empty, say why. Model-generated review of model-generated work shares the same blindspots. The purpose of this section is to route the right questions to the actual human checkpoint (PR review, stakeholder sign-off, manual test) rather than pretending the model can answer them.

### Decision
[Reasoning for the status decision]

### Next Steps
[Concrete actions to take]

Completion Gate (Before "Done")

When the user or agent claims work is complete, verify:

  1. Intent clear? — Can you state what changed and why in one sentence?
  2. Work reviewed? — Has the actual artifact been checked against the stated intent?
  3. Evidence present? — Are the relevant checks, examples, or observations recorded?
  4. Feedback handled? — Have review comments or open objections been resolved or explicitly deferred?
  5. Declared criteria delivered? — Were promised characteristics verified, not merely claimed?
  6. Needs Human Verification surfaced? — Have claims the model cannot self-check been flagged for human attention?

If incomplete:

"Completion gate: [missing step]. Run the check before marking complete."

Session Persistence

Reads: Aim, Problem Statement, Solution Space, Execute status, Ship status — essential for detecting drift and judging whether declared criteria were delivered.

Writes: Review assessment including contract verification:

## Review
**Updated:** <timestamp>
**Verdict:** [ALIGNED | DRIFTED | BLOCKED]

[review findings, drift analysis, contract verification, recommendations]

Position in Framework

Comes after: /execute (natural checkpoint after building). Leads to: /ship if aligned, /salvage if drifted, back to /aim if fundamentals are unclear. This is the gate: Review decides whether to continue, adjust, or restart.

平台分布

Codex

34.26%
按下载量换算205

Claude

30.02%
按下载量换算180

Cursor

19.46%
按下载量换算117

Gemini CLI

9.79%
按下载量换算59

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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