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Agent Skill · 研究检索

skill-quality-reviewer(技能质量审核员)

skill-quality-reviewer 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。

skill-quality-reviewer 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 35,226。

总安装 2,118周安装 91GitHub Stars 3,526下载 743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:skill-quality-reviewer(技能质量审核员)
来源仓库:https://github.com/galaxy-dawn/claude-scholar
仓库路径:skills/skill-quality-reviewer
安装命令:
npx skills add https://github.com/galaxy-dawn/claude-scholar --skill skill-quality-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 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/galaxy-dawn/claude-scholar --skill skill-quality-reviewer

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,支持多关键词场景匹配。适合快速定位候选结果或根据线索生成研究摘要。skill-quality-reviewer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。通过 GitHub 仓库安装,兼容 Codex、Claude 等主流宿主。

检索结果需人工复核准确性,避免直接采信工具输出。建议结合具体任务上下文调整搜索策略以提高相关性。

来源仓库内路径:skills/skill-quality-reviewer

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/galaxy-dawn/claude-scholar --skill skill-quali…;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

skill-quality-reviewer 怎么安装?

在终端执行 npx skills add https://github.com/galaxy-dawn/claude-scholar --skill skill-quality-reviewe…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-quality-reviewer 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。

skill-quality-reviewer 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。

skill-quality-reviewer 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。

skill-quality-reviewer 用的人多吗?

公开数据是累计安装 2,118 次,近一周安装 91 次,下载 743 次,GitHub 3,526 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。

skill-quality-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

  • 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 3,526 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
skill-quality-reviewer

技能质量审核员 · 本页

2,1183,526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

Skill Quality Reviewer

Overview

A meta-skill for evaluating the quality of Claude Skills. Perform comprehensive analysis across four key dimensions—description quality (25%), content organization (30%), writing style (20%), and structural integrity (25%)—to generate weighted scores, letter grades, and actionable improvement plans.

Use this skill to validate skills before sharing, identify improvement opportunities, or ensure compliance with skill development best practices.

When to Use This Skill

Invoke this skill when:

  • Analyzing a skill's quality before distribution
  • Reviewing skill documentation for best practices
  • Evaluating adherence to skill development standards
  • Generating improvement recommendations for existing skills
  • Validating skill structure and completeness

Trigger phrases:

  • "Analyze skill quality for./my-skill"
  • "Evaluate this skill: ~/.claude/skills/api-helper"
  • "Review skill quality of git-workflow"
  • "Check my skill for best practices"
  • "Generate quality report for this skill"

Review Modes

Use one of three review modes depending on the task:

  1. score-only

- fast first-pass grading for one skill.

  1. remediation-backlog

- convert findings into P0 / P1 / P2 fix queues with concrete evidence.

  1. batch-portfolio

- review multiple skills together, cluster repeated issues, and produce a prioritized shortlist.

Prefer remediation-backlog when the user asks what to fix next. Prefer batch-portfolio when auditing many skills at once.

Analysis Workflow

Step 1: Load the Skill

Accept skill path as input. Verify the path exists and contains SKILL.md. Read the complete skill directory structure.

# Example invocation
ls -la ~/.claude/skills/target-skill/

Validate:

  • SKILL.md exists
  • Directory is readable
  • Path points to a valid skill

Step 2: Parse YAML Frontmatter

Extract and validate the YAML frontmatter from SKILL.md.

Required fields:

  • name - Skill identifier
  • description - Trigger description with phrases

Check for:

  • Valid YAML syntax
  • No prohibited fields
  • Proper formatting

Step 3: Evaluate Description Quality (25%)

Assess the quality and effectiveness of the frontmatter description.

Scoring breakdown:

CriterionPointsEvaluation
Trigger phrases clarity253-5 specific user phrases present
Third-person format25Uses "This skill should be used when..."
Description length25100-300 characters optimal
Specific scenarios25Concrete use cases, not vague

Red flags:

  • Vague triggers like "helps with tasks"
  • Second-person descriptions ("Use this when you...")
  • Missing or generic descriptions
  • No actionable trigger phrases

Reference: references/examples-good.md for exemplary descriptions

Step 4: Evaluate Content Organization (30%)

Assess adherence to progressive disclosure principles.

Scoring breakdown:

CriterionPointsEvaluation
Progressive disclosure30SKILL.md lean, details in references/
SKILL.md length25Under 5,000 words (1,500-2,000 ideal)
References/ usage25Detailed content properly moved
Logical organization20Clear sections, good flow

Check:

  • SKILL.md body is concise and focused
  • Detailed content moved to references/
  • Examples and templates in appropriate directories
  • No information duplication across files

Reference: references/scoring-criteria.md for detailed rubrics

Step 5: Evaluate Writing Style (20%)

Verify adherence to skill writing conventions.

Scoring breakdown:

CriterionPointsEvaluation
Imperative form40Verb-first instructions throughout
No second person in body30Avoids conversational second person in the main workflow body
Objective language30Factual, instructional tone

Check for:

  • Imperative verbs: "Create the file", "Validate input", "Check structure"
  • Absence of: "You should", "You can", "You need to"
  • Objective, instructional language
  • Consistent style throughout

Good examples:

Create the skill directory structure.
Validate the YAML frontmatter.
Check for required fields.

Bad examples:

You should create the directory.
You need to validate the frontmatter.
Check if the fields are there.

Step 6: Evaluate Structural Integrity (25%)

Verify the skill's physical structure and completeness.

Scoring breakdown:

CriterionPointsEvaluation
YAML frontmatter30All required fields present
Directory structure30Proper organization
Resource references40All referenced files exist

Validate:

  • YAML frontmatter contains name and description
  • Directory structure follows conventions: skill-name/ ├── SKILL.md ├── references/ (optional) ├── examples/ (optional) └── scripts/ (optional)
  • All files referenced in SKILL.md actually exist
  • Examples are complete and working
  • Scripts are executable

Step 7: Calculate Weighted Score

Compute the overall quality score using weighted dimensions.

Formula:

Overall Score = (Description × 0.25) + (Organization × 0.30) +
                (Style × 0.20) + (Structure × 0.25)

Letter grade mapping:

Score RangeGradeMeaning
97-100A+Exemplary
93-96AExcellent
90-92A-Very Good
87-89B+Good
83-86BAbove Average
80-82B-Solid
77-79C+Acceptable
73-76CSatisfactory
70-72C-Minimal Acceptable
67-69D+Below Standard
63-66DPoor
60-62D-Very Poor
0-59FFail

Step 8: Generate Reports

Create two output documents in the current working directory.

1. Quality Report (quality-report-{skill-name}.md)

  • Executive summary with overall score and grade
  • Dimension-by-dimension breakdown
  • Strengths and weaknesses for each dimension
  • Grade breakdown table
  • Link to improvement plan

2. Improvement Plan (improvement-plan-{skill-name}.md)

  • Prioritized improvement list (High/Medium/Low)
  • Specific file locations and line numbers for issues
  • Current vs. suggested content comparisons
  • Estimated impact on scores
  • Time estimates for fixes
  • Expected score improvement

Output Templates

Quality Report Template

# Skill Quality Report: {skill-name}

## Executive Summary
- **Overall Score**: X/100 ({Grade})
- **Evaluated**: {Date}
- **Skill Path**: {path}

## Dimension Scores

### 1. Description Quality (25%)
**Score**: X/100

**Strengths**:
- ✅ {specific strength}

**Weaknesses**:
- ❌ {specific weakness}

**Recommendations**:
1. {actionable recommendation}

[Repeat for other dimensions...]

## Grade Breakdown
| Dimension | Score | Weight | Contribution |
|-----------|-------|--------|--------------|
| Description | X/100 | 25% | X.X |
| Organization | X/100 | 30% | X.X |
| Style | X/100 | 20% | X.X |
| Structure | X/100 | 25% | X.X |
| **Overall** | **X/100** | **100%** | **X.X ({Grade})** |

## Next Steps
See `improvement-plan-{skill-name}.md` for detailed improvement suggestions.

Improvement Plan Template

# Skill Improvement Plan: {skill-name}

## Priority Summary
- **High Priority**: {count} items
- **Medium Priority**: {count} items
- **Low Priority**: {count} items

## High Priority Improvements

### 1. [Issue Title]
**File**: SKILL.md:line:line
**Dimension**: Description Quality
**Impact**: +X points

**Current**:

{current content}


**Suggested**:

{suggested content}


**Reason**: {why this improves quality}

[Continue with all issues...]

## Quick Wins (Easy Fixes)

1. {quick fix}
2. {quick fix}

## Estimated Time to Complete

- High Priority: X hours
- Medium Priority: X hours
- Low Priority: X hours
- **Total**: X hours

## Expected Score Improvement

- Current: X/100 ({Grade})
- After High Priority: X/100 ({Grade})
- After All: X/100 ({Grade})

Additional Resources

Reference Files

For detailed evaluation criteria and examples, consult:

  • references/scoring-criteria.md - Comprehensive scoring rubrics for each dimension
  • references/examples-good.md - Exemplary skills demonstrating best practices
  • references/examples-bad.md - Common anti-patterns to avoid

Scripts

  • scripts/extract-yaml.sh - Utility for extracting YAML frontmatter from SKILL.md
  • scripts/skill-audit.py - Lightweight integrity audit for missing references, word count, and sibling-path checks

Related Skills

  • skill-development - Comprehensive guide for creating skills
  • code-review-excellence - Best practices for code review

Best Practices

When Analyzing Skills

  1. Be objective and specific - Base scores on observable criteria, not opinions
  2. Provide actionable feedback - Each recommendation should be concrete and implementable
  3. Include examples - Show current vs. suggested content for clarity
  4. Estimate impact - Help users understand which changes matter most
  5. Be constructive - Frame feedback as opportunities for improvement

Common Quality Issues

Description Quality:

  • Vague or generic trigger phrases
  • Second-person descriptions
  • Missing concrete use cases

Content Organization:

  • SKILL.md too long (>5,000 words)
  • Detailed content not moved to references/
  • Poor information hierarchy

Writing Style:

  • Second-person language ("you", "your")
  • Mixed imperative and descriptive styles
  • Subjective or conversational tone

Structural Integrity:

  • Missing required YAML fields
  • Referenced files don't exist
  • Incomplete examples or broken scripts

Grade Benchmarks

A grade (90-100): Exemplary skills serving as templates for others

  • All dimensions score 85+
  • Clear, specific descriptions
  • Excellent progressive disclosure
  • Consistent imperative style
  • Complete, well-organized structure

B grade (80-89): High-quality skills with minor improvements needed

  • Most dimensions score 75+
  • Good descriptions and organization
  • Generally follows best practices
  • May have minor style inconsistencies

C grade (70-79): Acceptable skills requiring moderate improvements

  • Key areas meet minimum standards
  • Some weaknesses in organization or style
  • Functional but not exemplary

D/F grade (below 70): Skills needing significant work

  • Multiple dimensions below 70
  • Major structural or style issues
  • Requires comprehensive revision

Usage Examples

Example 1: Analyze a local skill


User: "Analyze skill quality for ~/.claude/skills/git-workflow"

[Claude executes the 8-step workflow and generates:]

- quality-report-git-workflow.md
- improvement-plan-git-workflow.md

Example 2: Review before sharing


User: "Review my new skill before I publish it"

[Claude analyzes the skill and provides:]

- Detailed quality assessment
- Specific improvement recommendations
- Expected score after implementing fixes

Example 3: Quality check for existing skill


User: "Check skill quality of api-helper"

[Claude evaluates and reports:]

- Current grade and score
- Top improvement opportunities
- Quick wins for easy score gains

Example 4: Batch portfolio review


User: "Review all skills in ~/.claude/skills and tell me what to fix first"

[Claude evaluates and reports:]

- portfolio matrix
- grouped issue clusters
- shortlist for second-pass remediation

平台分布

Codex

34.63%
按下载量换算257

Claude

33.3%
按下载量换算247

Cursor

19.32%
按下载量换算144

Gemini CLI

9.3%
按下载量换算69

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。

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