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Skill Scorer

评估其他 Skill 质量的元技能:读取 SKILL.md 或 skill 文件夹,按 8 个维度进行 0-100 分加权评分,定位问题严重程度,并生成中英双语结构化报告、评分卡和可执行优化建议;非 skill 文件会先校验并拒绝评分。

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热度 45.20
最近更新 2026-05-11 17:39:12
分类:数据依赖:读写文件 / 联网浏览搜索 / 内部调用大模型应用场景:报告撰写 / 研究 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add skill-scorer
Metadata
name
skill-scorer
description
对任何 SKILL.md(或 skill 文件夹)进行质量评估和打分,基于行业最佳实践,生成 8 维度 100 分制的结构化质检报告,精准定位问题并提供可执行的优化建议。当用户要求评审、审计、评分、检测、质检任何 skill 时使用——哪怕只是说「这个 skill 写得怎么样?」也会触发。也支持:skill质检、skill评分、检测skill。 | Evaluate and score any SKILL.md (or skill folder) against industry best practices. Generates a structured quality report with a 100-point score across 8 dimensions, pinpoints issues, and provides actionable optimization suggestions. Use this skill whenever the user asks to review, audit, evaluate, grade, score, lint, or quality-check a skill — even if they just say 'is this skill any good?' or 'help me improve this skill'. Also triggers on: 'skill review', 'rate my skill'.
version
1.6.0
compatibility
Claude Code, Claude.ai, Cowork, and all SKILL.md-compatible agents
changelog
1.6.0 — D4 orchestration criteria wording refined: clarified that Playbooks contain descriptive logic (not executable commands), Usage Examples contain executable commands, output merging can live in templates.md. README restructured to Chinese-first bilingual 1.5.0 — Dimension 4 expanded to 5 skill types: added Script-bundled and MCP-integrated with type-specific scoring criteria 1.4.0 — Dimension 4 (Workflow & Logic) adds Skill Type Detection: instruction-only / single-command / orchestration evaluated with type-specific criteria 1.3.0 — Description bilingual: Chinese first, English after, for internal platform display 1.2.0 — Added input validation and graceful degradation for non-skill files in Step 0 1.1.0 — Bilingual report output (Chinese first, English after, no interleaving) 1.0.0 — Initial release with 8-dimension scoring rubric

Skill: skill-scorer

Overview

A meta-skill that evaluates the quality of other skills. Given a SKILL.md file (or a complete skill folder), it performs a systematic audit across 8 dimensions, assigns a score out of 100, identifies issues by severity, and generates actionable optimization suggestions.

This skill synthesizes quality criteria from Anthropic's official skill authoring best practices, the Skill Engineering Standard (v1.4.3), and community-tested patterns from production skill ecosystems.

When to Activate

User provides a skill and asks any of:

  • "帮我评分/打分/检测/质检 这个 skill"
  • "review/audit/score/grade/lint this skill"
  • "这个 skill 写得怎么样?" / "is this skill any good?"
  • "帮我优化这个 skill" (evaluate first, then suggest improvements)
  • Provides a SKILL.md and expects quality feedback

Do NOT activate for: creating a new skill from scratch → use skill-creator. This skill is for evaluation, not generation.

Core Workflow

Step 0: Load the Skill Under Test

Determine what the user has provided:

Input Action
Single SKILL.md file Evaluate that file
Skill folder (with references/) Evaluate all files, cross-reference consistency
URL / GitHub link Fetch and evaluate
Pasted markdown content Treat as SKILL.md

If the user has not provided a skill → ask: "请提供要评估的 SKILL.md 文件或 skill 文件夹路径。"

Input validation — before proceeding to Step 1, verify the input is actually a skill:

Check Condition Action
Binary / garbled content File is not valid text, or text is unreadable gibberish STOP. Report: "This file does not appear to be a valid SKILL.md — it contains binary or unreadable content. Please provide a markdown-based skill file." Do NOT attempt to score.
No skill markers at all Text is valid but contains zero skill indicators (no YAML frontmatter ---, no markdown headings resembling skill sections, no workflow/instructions) STOP. Report: "This appears to be a {detected_type} file (e.g., Python script, JSON config, plain prose), not a SKILL.md. skill-scorer evaluates SKILL.md files only." Do NOT force-fit 8 dimensions onto non-skill content.
Partial skill structure Has some skill-like elements (e.g., YAML frontmatter exists but body is minimal, or has headings but no workflow) PROCEED with caveats. Evaluate normally, but note in the report header: "⚠️ This file has incomplete skill structure — scores reflect what is present." Score missing sections as 0 in relevant dimensions rather than guessing.

Step 1: Parse Skill Structure

Extract and inventory:

  • YAML frontmatter fields (name, description, version, compatibility)
  • Section headings and their order
  • References to external files (references/, scripts/, assets/)
  • Total line count and estimated token count of SKILL.md body

Step 2: Run 8-Dimension Evaluation

Read references/rubric.md for the complete scoring rubric.

Evaluate the skill across these 8 dimensions (each scored 0-100, then weighted):

# Dimension Weight What It Measures
1 Metadata & Triggering 15% Name clarity, description quality, trigger coverage
2 Structure & Architecture 15% File organization, section order, progressive disclosure
3 Instruction Clarity 15% Actionability, conciseness, examples, tone
4 Workflow & Logic 15% Step completeness, parameter handling, validation
5 Error Handling 10% Fallbacks, edge cases, failure recovery
6 Context Efficiency 10% Token budget, redundancy, information density
7 Portability & Compatibility 10% Self-containment, cross-platform support
8 Safety & Robustness 10% No injection risk, no hallucination traps, identity lock

Step 3: Identify Issues

For each issue found, classify severity:

Severity Meaning Score Impact
🔴 Critical Skill will malfunction or not trigger -10 to -15 per issue
🟡 Warning Skill works but suboptimally -3 to -8 per issue
🟢 Suggestion Nice-to-have improvement -1 to -2 per issue

Step 4: Generate Report

Read references/report-template.md for the output format.

The report includes:

  1. Score Card — Overall score + per-dimension breakdown
  2. Issue List — All findings sorted by severity
  3. Top 3 Quick Wins — Highest-impact fixes with before/after examples
  4. Optimization Roadmap — Prioritized improvement plan

Step 5: Offer Follow-Up

After presenting the report, ask:

  • "需要我帮你自动修复这些问题吗?" (auto-fix mode)
  • "需要对某个维度深入分析吗?" (deep-dive mode)
  • "需要生成优化后的 SKILL.md 吗?" (rewrite mode)

Output Rules

  1. Bilingual report — Chinese first, English after, no interleaving. Always output the complete report in Chinese, then a --- separator, then the complete report in English. Never mix languages within a section. Both versions must contain identical scores, issues, and suggestions — only the language differs.
  2. Score must be justified. Every deducted point must trace to a specific issue.
  3. Suggestions must be actionable. Include before/after code snippets, not vague advice.
  4. Be constructive, not destructive. Lead with what the skill does well before listing issues.
  5. ❌ Never inflate scores to be polite — honest assessment helps the user improve.
  6. ❌ Never evaluate based on domain correctness of the skill's content (e.g., whether hotel recommendations are good) — only evaluate skill engineering quality.

References

File Purpose When to read
references/rubric.md Detailed scoring criteria for all 8 dimensions Step 2: scoring
references/report-template.md Output format and report structure Step 4: generating report
references/anti-patterns.md Common skill mistakes and how to detect them Step 3: finding issues