skill-evaluator
Evaluates agent skills against Anthropic's best practices.
Skill by gotalab
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/gotalab-skill-evaluator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, writing, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-evaluator
What's inside
- Skill name
skill-evaluator- Description
- Evaluates agent skills against Anthropic's best practices. Use when asked to review, evaluate, assess, or audit a skill for quality. Analyzes SKILL.md structure, naming conventions, description quality, content organization, and identifies anti-patterns. Produces actionable improvement recommendations.
- License
- MIT
- Instructions
- 186 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (7)
- SKILL.md
- README.md · evaluations/
- basic-skill-evaluation.json · evaluations/
- problematic-skill-evaluation.json · evaluations/
- evaluation-criteria.md · references/
- scoring-rubric.md · references/
- validate_skill.py · scripts/
SKILL.md (first lines)
# 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: ```bash 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%) | Score | Criteria | |-------|----------| | 5 | Gerund form (-ing), clear purpose, memorable | | 4 | Descriptive, follows conventions | | 3 | Acceptable but could be clearer | | 2 | Vague or misleading | | 1 | Violates 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%) | Score | Criteria | |-------|----------| | 5 | Clear functionality + specific activation triggers + third person | | 4 | Good description with some triggers | | 3 | Adequate but missing triggers or vague | | 2 | Too brief or unclear purpose | | 1 | Missing 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%) | Score | Criteria | |-------|----------| | 5 | Concise, assumes Claude intelligence, actionable instructions | | 4 | Generally good, minor verbosity | | 3 | Some unnecessary explanations or redundancy | | 2 | Overly verbose or confusing | | 1 | Bloated, explains obvious concepts | **Ask**: "Does Claude really need this explanation?" Remove anything Claude already knows. #### D. Structure & Organization (Weight: 25%) | Score | Criteria | |-------|----------| | 5 | Excellent progressive disclosure, clear navigation, optimal length | | 4 | Good organization, appropriate file splits | | 3 | Acceptable but could be better organized | | 2 | Poor organization, missing references, or bloated SKILL.md | | 1 | No 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%) | Score | Criteria | |-------|----------| | 5 | Perfect match: high freedom for flexible tasks, low for fragile operations | | 4 | Generally appropriate freedom levels | | 3 | Acceptable but could be better calibrated | | 2 | Mismatched: too rigid or too loose | | 1 | Completely 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:
From gotalab/skillport, MIT.
More from gotalab/skillport
Signals
- Stars
- 417
- Forks
- 29
- Open issues
- 5
- Last commit (this folder)
- Dec 29, 2025 (10 months ago)
- Last release
- Jun 24, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/gotalab/skillport
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from gotalab
Cite this page
skill-evaluator. Agent Mart. https://agentmart.dev/skills/gotalab-skill-evaluator (last updated 2026-10-24)