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skill_evaluator技能评估员

Agent Skill

skill_evaluator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

261

周安装

11

GitHub Stars

42

下载量

92
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

3

许可证

MIT

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_evaluator(技能评估员)
来源仓库:https://github.com/vuralserhat86/antigravity-agentic-skills
仓库路径:skills/skill_evaluator
安装命令:
npx skills add https://github.com/vuralserhat86/antigravity-agentic-skills --skill skill_evaluator
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/vuralserhat86/antigravity-agentic-skills --skill skill_evaluator

简介

用于处理 GitHub 仓库、Issue、Pull Request 等协作信息。

  • 适合围绕代码变更、仓库状态或协作事项进行整理。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和是否会触发命令执行。
  • 注意维护状态和网络访问限制。skill_evaluator 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Skill Evaluator (WIP)

Evaluates skills against Anthropic's official best practices for agent skill authoring. Produces structured evaluation reports with scores and actionable recommendations.

Quick Start

  1. Read the skill's SKILL.md and understand its purpose
  2. Run automated validation: scripts/validate_skill.py <skill-path>
  3. Perform manual evaluation against criteria below
  4. Generate evaluation report with scores and recommendations

Evaluation Workflow

Step 1: Automated Validation

Run the validation script first:

scripts/validate_skill.py <path/to/skill>

This checks:

  • SKILL.md exists with valid YAML frontmatter
  • Name follows conventions (lowercase, hyphens, max 64 chars)
  • Description is present and under 1024 chars
  • Body is under 500 lines
  • File references are one-level deep

Step 2: Manual Evaluation

Evaluate each dimension and assign a score (1-5):

A. Naming (Weight: 10%)

ScoreCriteria
5Gerund form (-ing), clear purpose, memorable
4Descriptive, follows conventions
3Acceptable but could be clearer
2Vague or misleading
1Violates naming rules

Rules: Max 64 chars, lowercase + numbers + hyphens only, no reserved words (anthropic, claude), no XML tags.

Good: processing-pdfs, analyzing-spreadsheets, building-dashboards Bad: pdf, my-skill, ClaudeHelper, anthropic-tools

B. Description (Weight: 20%)

ScoreCriteria
5Clear functionality + specific activation triggers + third person
4Good description with some triggers
3Adequate but missing triggers or vague
2Too brief or unclear purpose
1Missing or unhelpful

Must include: What the skill does AND when to use it. Good: "Extracts text from PDFs. Use when working with PDF documents for text extraction, form parsing, or content analysis." Bad: "A skill for PDFs." or "Helps with documents."

C. Content Quality (Weight: 30%)

ScoreCriteria
5Concise, assumes Claude intelligence, actionable instructions
4Generally good, minor verbosity
3Some unnecessary explanations or redundancy
2Overly verbose or confusing
1Bloated, explains obvious concepts

Ask: "Does Claude really need this explanation?" Remove anything Claude already knows.

D. Structure & Organization (Weight: 25%)

ScoreCriteria
5Excellent progressive disclosure, clear navigation, optimal length
4Good organization, appropriate file splits
3Acceptable but could be better organized
2Poor organization, missing references, or bloated SKILL.md
1No structure, everything dumped in SKILL.md

Check:

  • SKILL.md under 500 lines
  • References are one-level deep (no nested chains)
  • Long reference files (>100 lines) have table of contents
  • Uses forward slashes in all paths

E. Degrees of Freedom (Weight: 10%)

ScoreCriteria
5Perfect match: high freedom for flexible tasks, low for fragile operations
4Generally appropriate freedom levels
3Acceptable but could be better calibrated
2Mismatched: too rigid or too loose
1Completely wrong freedom level for the task type

Guideline:

  • High freedom (text): Multiple valid approaches, context-dependent
  • Medium freedom (parameterized): Preferred pattern exists, some variation OK
  • Low freedom (specific scripts): Fragile operations, exact sequence required

F. Anti-Pattern Check (Weight: 5%)

Deduct points for each anti-pattern found:

  • Too many options without clear recommendation (-1)
  • Time-sensitive information with date conditionals (-1)
  • Inconsistent terminology (-1)
  • Windows-style paths (backslashes) (-1)
  • Deeply nested references (more than one level) (-2)
  • Scripts that punt error handling to Claude (-1)
  • Magic numbers without justification (-1)

Step 3: Generate Report

Use this template:

# Skill Evaluation Report: [skill-name]

## Summary
- **Overall Score**: X.X/5.0
- **Recommendation**: [Ready for publication / Needs minor improvements / Needs major revision]

## Dimension Scores
| Dimension | Score | Weight | Weighted |
|-----------|-------|--------|----------|
| Naming | X/5 | 10% | X.XX |
| Description | X/5 | 20% | X.XX |
| Content Quality | X/5 | 30% | X.XX |
| Structure | X/5 | 25% | X.XX |
| Degrees of Freedom | X/5 | 10% | X.XX |
| Anti-Patterns | X/5 | 5% | X.XX |
| **Total** | | 100% | **X.XX** |

## Strengths
- [List 2-3 things done well]

## Areas for Improvement
- [List specific issues with actionable fixes]

## Anti-Patterns Found
- [List any anti-patterns detected]

## Recommendations
1. [Priority 1 fix]
2. [Priority 2 fix]
3. [Priority 3 fix]

## Pre-Publication Checklist
- [ ] Description is specific with activation triggers
- [ ] SKILL.md under 500 lines
- [ ] One-level-deep file references
- [ ] Forward slashes in all paths
- [ ] No time-sensitive information
- [ ] Consistent terminology
- [ ] Concrete examples provided
- [ ] Scripts handle errors explicitly
- [ ] All configuration values justified
- [ ] Required packages listed
- [ ] Tested with Haiku, Sonnet, Opus

Score Interpretation

Score RangeRatingAction
4.5 - 5.0ExcellentReady for publication
4.0 - 4.4GoodMinor improvements recommended
3.0 - 3.9AcceptableSeveral improvements needed
2.0 - 2.9Needs WorkMajor revision required
1.0 - 1.9PoorFundamental redesign needed

References

*Skill Evaluator v1.1 - Enhanced*

🔄 Workflow

Kaynak: Google Engineering Practices - Code Review & Anthropic System Prompts

Aşama 1: Structural Analysis

  • Compliance: Dosya yapısı (scripts/, references/) standarta uyuyor mu?
  • Metadata: YAML frontmatter (name, description) eksiksiz ve valid mi?
  • Modularity: Skill çok mu büyük? Bölünmesi gerekiyor mu? (Single Responsibility Principle).

Aşama 2: Content & Semantic Review

  • Clarity: Talimatlar emir kipiyle (Imperative) ve net yazılmış mı? Belirsizlik var mı?
  • Context Efficiency: "Gereksiz nezaket" veya "aşırı açıklama" var mı? Token israfı önlenmeli.
  • Safety: Skill tehlikeli bir işlem (dosya silme, yetkisiz erişim) öneriyor mu?

Aşama 3: Functionality Verification

  • Script Audit: scripts/ içindeki Python/Bash kodları güvenli ve çalışır durumda mı?
  • Reference Check: references/ dosyaları gerçekten gerekli mi? Yoksa SKILL.md içine mi gömülmeli?
  • Usability: Bir kullanıcı (veya ajan) bu skill'i okuyup hemen kullanabilir mi?

Kontrol Noktaları

AşamaDoğrulama
1Skill adı ve açıklaması birbiriyle tutarlı mı?
2Anti-pattern (örn: Hardcoded path) tespit edildi mi?
3Puanlama rubriğine göre objektif bir skor (1-5) verildi mi?

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

Antigravity

25.49%
按下载量换算23

Claude Code

22.42%
按下载量换算21

trae

18.66%
按下载量换算17

windsurf

12.17%
按下载量换算11

Codex

7.75%
按下载量换算7

Gemini CLI

3.46%
按下载量换算3

安全审计

暂无安全审计结果可展示。

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。

来源信息

继续浏览同类 Skills