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skill-evaluator

@gotalab/skillport
90
0

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.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

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.
metadata [object Object]

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%)

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:

# 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 Range Rating Action
4.5 - 5.0 Excellent Ready for publication
4.0 - 4.4 Good Minor improvements recommended
3.0 - 3.9 Acceptable Several improvements needed
2.0 - 2.9 Needs Work Major revision required
1.0 - 1.9 Poor Fundamental redesign needed

References

Examples

See evaluations/ for example evaluation scenarios.