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skill-evaluator

Evaluates agent skills against Anthropic's best practices.

Skill by gotalab

IndexedMIT★ 417
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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

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.

Use cases: security, writing, agent-building

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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.

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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

skill-evaluator. Agent Mart. https://agentmart.dev/skills/gotalab-skill-evaluator (last updated 2026-10-24)