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skill-quality-reviewer技能质量审核员

Agent Skill

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。

总安装

2,118

周安装

91

GitHub Stars

3,526

下载量

743
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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