testing

Validate skill definitions and analyze project test suite health.

Updated Jun 20, 2026
One-click install
npx skills add https://github.com/Sigmacodeat/subsumio-web --skill testing-sigmacodeat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: testing
Source: https://github.com/Sigmacodeat/subsumio-web/tree/main/server/skills/testing
Command: npx skills add https://github.com/Sigmacodeat/subsumio-web --skill testing-sigmacodeat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams maintain reliable AI skill infrastructure by validating skill conformance and diagnosing project test health issues before they become regressions.

Core Features & Use Cases

  • Skill Conformance Validation: Checks SKILL.md frontmatter, required sections, manifest coverage, resolver coverage, and trigger consistency.
  • Test Suite Health Intelligence: Runs tiered test workflows, classifies failures as regressions, stale tests, flakes, new failures, or infrastructure issues, and produces actionable reports.
  • Use Case: Use this Skill after adding new skills or during daily engineering checks to verify that the skill registry and project tests remain healthy.

Quick Start

Run the testing skill to validate all skills and generate a current test health report.

Frequently Asked Questions about testing

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

FAQPage Schema
How do I validate skill definitions and frontmatter conformance?

Test suite health intelligence runs tiered test workflows, classifies failures as regressions, stale tests, flakes, new failures, or infrastructure issues, and produces actionable diagnostic reports for your project.

How do I detect test regressions in a CI workflow?

To detect test regressions in a CI workflow, execute tiered test workflows and classify failures as regressions, stale tests, flakes, new failures, or infrastructure issues to produce actionable reports.

Can I run post-change verification for AI skill repositories?

Yes, you can run post-change verification for AI skill repositories by validating skill conformance and analyzing project test health to identify conformance issues and regressions after adding new skills.

What is the best way to classify test failures and flakes during daily health checks?

The best way to classify test failures during daily health checks is to run tiered test workflows that categorize failures into regressions, stale tests, flakes, new failures, or infrastructure issues for actionable tracking.

Does skill validation require manifest and resolver coverage checks?

Yes, skill validation requires manifest and resolver coverage checks alongside frontmatter validation and trigger consistency verification to properly diagnose project test health issues before they become regressions.