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Agent Skill · 效率

openclaw-skill-reviewer(OpenClaw 技能 reviewer)

openclaw-skill-reviewer 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

openclaw-skill-reviewer 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 4,295。

总安装 13,778周安装 552GitHub Stars 公开资料未说明下载 4,460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
MIT-0
版本
1.0.0

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:openclaw-skill-reviewer(OpenClaw 技能 reviewer)
来源仓库:https://github.com/ykaixu/openclaw-skill-reviewer
安装命令:
openclaw skills install openclaw-skill-reviewer
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install openclaw-skill-reviewer

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

对 OpenClaw 技能的格式、内容质量、功能正确性以及对最佳实践的遵守情况进行三级审核。

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 OpenClaw;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 openclaw skills install openclaw-skill-reviewer;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

openclaw-skill-reviewer 怎么安装?

在终端执行 openclaw skills install openclaw-skill-reviewer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openclaw-skill-reviewer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

openclaw-skill-reviewer 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。

openclaw-skill-reviewer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

openclaw-skill-reviewer 用的人多吗?

公开数据是累计安装 13,778 次,近一周安装 552 次,下载 4,460 次。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。

openclaw-skill-reviewer 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 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

  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
openclaw-skill-reviewer

OpenClaw 技能 reviewer · 本页

13,778—只读MIT-0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

name
skill-reviewer
description
Comprehensive skill review and validation. Use when you need to audit an OpenClaw skill for correctness, completeness, and compliance with OpenClaw specifications. Performs three levels of review: (1) Format validation via package_skill.py, (2) Content quality assessment of SKILL.md structure and writing, (3) Functional verification that generated templates/scripts match actual OpenClaw specifications.

Skill Reviewer

Comprehensive skill review and validation for OpenClaw skills.

Overview

This skill provides a systematic three-level review process to ensure skills are:

  • Valid - Proper structure and format
  • Complete - All required components present
  • Correct - Generated outputs match OpenClaw specifications
  • High-quality - Follows best practices

Review Workflow

Level 1: Format Validation

Run automatic validation using package_skill.py:

python3 /home/yupeng/.npm-global/lib/node_modules/openclaw/skills/skill-creator/scripts/package_skill.py <skill-path>

Checks:

  • YAML frontmatter format and required fields
  • Skill naming conventions and directory structure
  • Description completeness and quality
  • File organization and resource references

Outcome: ✅ Valid or ❌ Validation errors

Level 2: Content Quality Assessment

Manually review SKILL.md for:

Frontmatter:

  • name is concise and follows naming conventions
  • description is comprehensive and includes "when to use" information
  • No extraneous fields in YAML

Body Structure:

  • Clear organization (workflow-based, task-based, or reference-based)
  • Progressive disclosure pattern (metadata → SKILL.md → references)
  • Concise and focused content
  • Imperative/infinitive form for instructions

Writing Quality:

  • No filler or redundant explanations
  • Concrete examples and realistic scenarios
  • Clear guidance on when to read reference files
  • Avoids duplication between SKILL.md and references

Level 3: Functional Verification

Critical Step - Verify that generated outputs match actual OpenClaw specifications.

For skills that generate templates:

  • Compare generated templates with actual OpenClaw specification files
  • Example: If skill generates AGENTS.md templates, compare with /home/yupeng/.openclaw/workspace/AGENTS.md
  • Check for missing required sections (session startup, memory workflow, safety rules, group chat etiquette, heartbeat mechanism)
  • Verify all critical requirements are present

For skills with scripts:

  • Test scripts to ensure they work correctly
  • Verify output matches expected format
  • Check error handling

For skills with references:

  • Verify reference files are accurate and up-to-date
  • Check that references are properly linked from SKILL.md

Level 4: Best Practices Check

Verify the skill follows OpenClaw skill best practices:

Progressive Disclosure:

  • SKILL.md body is concise (<500 lines preferred)
  • Detailed information moved to references/
  • References are properly linked and described

Resource Organization:

  • Only necessary resource directories created
  • No extraneous files (README.md, INSTALLATION_GUIDE.md, etc.)
  • Scripts/ references/ assets/ used appropriately

Context Efficiency:

  • Information lives in either SKILL.md OR references, not both
  • Essential procedural instructions in SKILL.md
  • Detailed reference material in references/

Triggering Accuracy:

  • description clearly states when the skill should be used
  • All "when to use" information is in description, not body

Common Issues Found

Missing Functional Verification:

  • Skill generates templates but they don't match actual specifications
  • Example: AGENTS.md template missing session startup requirements

Incomplete Descriptions:

  • Description doesn't include "when to use" information
  • Body contains "When to Use This Skill" sections (should be in description)

Duplication:

  • Same information in both SKILL.md and references
  • Wastes context window tokens

Extraneous Files:

  • README.md, CHANGELOG.md, etc. in skill directory
  • Should only contain SKILL.md and necessary resources

Poor Progressive Disclosure:

  • SKILL.md too verbose
  • References not properly linked or described

Review Checklist

For each skill, verify:

  • [ ] Level 1: Format validation passes
  • [ ] Level 2: SKILL.md structure and quality are good
  • [ ] Level 3: Generated templates match OpenClaw specifications
  • [ ] Level 4: Best practices are followed
  • [ ] No extraneous files
  • [ ] Description includes "when to use" information
  • [ ] References are properly linked from SKILL.md
  • [ ] Scripts work correctly (if present)

Resources

scripts/

  • review_skill.py - Automated review script (optional enhancement)

references/

  • openclaw-specs.md - OpenClaw specifications for comparison
  • best-practices.md - Skill design best practices

平台分布

OpenClaw

88.47%
按下载量换算3,946

安全审计

VirusTotal

通过

ClawScan

未展示

Static analysis

未展示

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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