Skill Tester

Skill Tester

A Claude Code skill for skill tester workflows and automation

Category: development Source: alirezarezvani/claude-skills

What Is Skill Tester?

Skill Tester is a robust quality assurance tool engineered for the Claude Code skill ecosystem. As a meta-skill, it is designed to validate, test, and score the quality of other skills, ensuring they meet stringent standards for the BASIC, STANDARD, and POWERFUL tier classifications. Developed by the Claude Skills Engineering Team, Skill Tester automates the enforcement of best practices and technical consistency across skill submissions. It is implemented entirely with the Python standard library, making it lightweight and portable, and it fits seamlessly into manual and automated workflows such as CI/CD pipelines, pre-commit hooks, and pull request validations.

Why Use Skill Tester?

Skill Tester addresses a fundamental challenge in collaborative software ecosystems: maintaining uniform quality amidst rapid development. As the number of skills grows, ensuring adherence to documentation, code conventions, and interface standards becomes increasingly complex. Manual reviews are prone to oversights and can introduce bottlenecks.

By integrating Skill Tester, teams achieve:

  • Automated Consistency: Every skill undergoes the same rigorous checks, reducing subjective review variance.
  • Reduced Onboarding Time: Contributors can validate their skills before submitting, minimizing review cycles.
  • Quality Gatekeeping: Only thoroughly validated skills reach production, protecting end users and downstream systems from avoidable errors.
  • CI/CD Compatibility: Skill Tester fits into automated pipelines, ensuring continuous enforcement of quality standards without manual intervention.

Ultimately, Skill Tester helps preserve the reliability and professionalism of the Claude Code skill library, benefiting both maintainers and consumers.

How to Get Started

Skill Tester is self-contained and requires only Python (no additional dependencies). To begin:

  1. Clone the Skill Tester Repository

    git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills/engineering/skill-tester

  2. Run Skill Tester on a Target Skill Suppose you want to test the skill located at ../some-skill/:

    python skill_tester.py --path ../some-skill/

  3. Review the Output The report includes validation results, script test summaries, a quality score, and targeted recommendations.

Example CLI Usage

python skill_tester.py --path ../my-awesome-skill/ --tier POWERFUL

This command checks the skill at ../my-awesome-skill/, validating it against the criteria for the POWERFUL tier.

Key Features

Skill Tester delivers three core capabilities essential for robust skill quality assurance:

1. Structure Validation

Skill Tester verifies that each skill follows the required directory and file structure, including the presence of metadata files (SKILL.md, README.md), code scripts, and standardized documentation sections. It checks for consistency in file naming, content format, and the inclusion of required fields.

Example Output:

[PASS] SKILL.md exists and is valid.
[FAIL] README.md missing section: "Usage Examples".

2. Script Testing

Skill Tester analyzes Python scripts for:

  • Syntax correctness: Ensures scripts are free from syntax errors.
  • Import validation: Checks for missing or disallowed imports (e.g., only standard library modules).
  • Functionality compliance: Validates that required entry points and interfaces are implemented.
  • Output format: Verifies that outputs match expected structures.

Sample Code:

## Example: Validate syntax
import ast

def validate_syntax(file_path):
    with open(file_path, "r") as f:
        source = f.read()
    try:
        ast.parse(source)
        return True
    except SyntaxError as e:
        print(f"Syntax error in {file_path}: {e}")
        return False

3. Quality Scoring

Skill Tester aggregates findings into a letter-grade score (A–F) for each skill, covering dimensions such as:

  • Documentation completeness
  • Code quality and readability
  • Test coverage
  • Compliance with tier-specific requirements

It also generates actionable recommendations for improvement.

Example Output:

Quality Score: B+
Recommendations:
- Add usage example to README.md
- Refactor nested functions for clarity

Best Practices

To maximize the utility of Skill Tester:

  • Integrate early: Use Skill Tester before submitting skills for review or merging pull requests.
  • Automate in CI/CD: Add Skill Tester as a pre-merge check in your CI pipeline to catch regressions automatically.
  • Iterative improvement: Address all recommendations before final submission to ensure the highest possible quality score.
  • Stay updated: Regularly pull the latest version of Skill Tester to benefit from new checks and scoring rules.

Example GitHub Action Integration:

- name: Run Skill Tester
  run: python engineering/skill-tester/skill_tester.py --path skills/my-skill/

Important Notes

  • No External Dependencies: Skill Tester uses only the Python standard library, ensuring easy execution in restricted environments.
  • Tier Awareness: Different tiers (BASIC, STANDARD, POWERFUL) have unique validation criteria; specify the correct tier during testing.
  • Not a Replacement for Manual Review: While Skill Tester automates many checks, complex logic and subjective assessments may still require human evaluation.
  • Evolving Standards: As the Claude Code ecosystem matures, validation rules and scoring criteria may be updated. Always consult the latest documentation and release notes.
  • Reporting Issues: If you encounter false positives or wish to suggest improvements, contribute to the GitHub repository.

Skill Tester is an indispensable tool for any team maintaining or contributing to the Claude Code skills platform, offering scalable, automated, and transparent quality assurance.