Skill Testv0.1.1

An open-source developer has created a new AI agent skill and wants to publish it on ClawHub and skills.sh. They use this skill to run the static evaluator, review triggers, and ensure the skill is release-ready, avoiding community complaints and negative reviews.

A large enterprise is building a library of internal AI agent skills for customer support. They use skill-test as part of their CI/CD pipeline to validate skills before deployment, ensuring they trigger correctly and pass quality gates, reducing runtime failures in production.

A machine learning team is upgrading their underlying LLM and needs to check whether existing agent skills still perform well. They use skill-test to compare versions of skills against a baseline, identify regressions, and decide whether to retrain or update skills.

A freelance AI consultant is hired to audit a client's custom skill library for 'skills.sh' publication. They use skill-test to run static analysis, check for release blockers, and provide a structured scorecard, ensuring the skills meet quality standards before the client markets them.

A university course on AI agent development requires students to build and submit skills. Instructors use skill-test to evaluate submissions consistently, catch common mistakes, and provide feedback on release readiness, enhancing the learning experience.

Offer the skill-test package for free with basic static evaluation features. Charge a subscription for advanced features like LLM rubric grading, regression tracking, and priority support.

Provide a hosted platform that integrates skill-test into CI/CD pipelines for teams. Offer analytics dashboards, collaboration features, and custom validation rules. Revenue from per-seat or usage-based pricing.

Offer consulting services to help teams set up skill-test workflows, define evaluation criteria, and create custom test suites. Also provide certification for skills that pass rigorous evaluation, adding credibility.