valid-skill

Validate skill loading and return a basic acknowledgement.

1.0k|92|Updated May 22, 2026
One-click install
npx skills add https://github.com/open-gsd/gsd-pi --skill valid-skill-open-gsd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: valid-skill
Source: https://github.com/open-gsd/gsd-pi/tree/main/packages/pi-coding-agent/test/fixtures/skills/valid-skill
Command: npx skills add https://github.com/open-gsd/gsd-pi --skill valid-skill-open-gsd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill serves as a minimal, testable unit to verify the Skill discovery and loading pipeline within the system, ensuring basic frontmatter parsing and body handling.

Core Features & Use Cases

  • Lightweight structure designed for unit tests.
  • Validates frontmatter extraction and content rendering without side effects.
  • Use Case: Quick smoke tests during CI to confirm a Skill unit is recognized and parsed.

Quick Start

Run the valid-skill to perform its default test operation and return a confirmation.

Frequently Asked Questions about valid-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a smoke test for AI skill loading in a CI pipeline?

To run a smoke test for AI skill loading in a CI pipeline, use a minimal, deterministic skill to validate frontmatter parsing and body handling without external calls or side effects. It operates in a constrained testing scope suitable for unit tests and CI dry runs.

What is a deterministic unit test for workflow automation validation?

A deterministic unit test for workflow automation validation is a lightweight test that confirms a skill is recognized and parsed correctly. It operates independently of external resources, ensuring predictable results in any environment.

Do I need external dependencies to validate AI skills during CI dry runs?

No, you do not need external dependencies to validate AI skills during CI dry runs. The validation operates independently of external resources, making it lightweight and deterministic so it can run in any environment without side effects.

How to verify frontmatter extraction for automation skills without side effects?

To verify frontmatter extraction for automation skills without side effects, execute a lightweight skill designed for unit tests. It validates frontmatter parsing and content rendering while operating in a constrained scope with no external calls.

When do I need a lightweight testing scope for AI workflow validation?

You need a lightweight testing scope for AI workflow validation when performing quick smoke tests during CI to confirm a skill unit is recognized and parsed. This ensures basic frontmatter extraction and body handling work without side effects.