spec-audit

Analyze spec coverage data and test annotations to identify coverage gaps.

8|9|Updated Nov 12, 2025
One-click install
npx skills add https://github.com/databricks-solutions/project-0xfffff --skill spec-audit-databricks-solutions
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spec-audit
Source: https://github.com/databricks-solutions/project-0xfffff/tree/main/.claude/skills/spec-audit
Command: npx skills add https://github.com/databricks-solutions/project-0xfffff --skill spec-audit-databricks-solutions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This workflow helps teams verify that a spec's success criteria are fully covered by tests and that tests accurately reflect the spec's requirements, flagging gaps and drift early.

Core Features & Use Cases

  • Audit spec coverage by comparing spec requirements to existing tests and identifying unlinked or missing tests.
  • Tag and organize tests to align with spec requirements, enabling targeted test improvements.
  • Propose concrete spec updates and test additions to close coverage gaps and reduce drift across releases.

Quick Start

Run the spec-audit workflow on a target spec to generate a coverage report and a recommended action plan.

Frequently Asked Questions about spec-audit

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

FAQPage Schema
How do I identify gaps between spec requirements and test coverage?

To identify spec coverage gaps, you can audit spec requirements against existing tests and annotations to flag unlinked or missing tests. This process analyzes coverage data to return a structured plan of uncovered requirements and suggested tests.

What is the best way to align tests with specs when coverage is low?

The best way to align tests with specs is to audit spec coverage data and apply test tagging. This guides you to organize tests against success criteria and propose concrete spec updates to close coverage gaps.

How do I detect spec drift between implementation and success criteria?

You detect spec drift by analyzing current spec coverage data and test annotations to find misaligned tests. This audit flags drift early and proposes spec updates to realign implementation with success criteria.

Can I generate a test coverage action plan from existing spec annotations?

Yes, you can generate a test coverage action plan from existing spec annotations. The audit analyzes test tags and coverage data to return a structured plan including uncovered requirements, suggested tests, and steps to achieve full coverage.

When should I use a spec audit workflow for my test suite?

You should use a spec audit workflow when your specs show low coverage, misaligned tests, or drift between implementation and success criteria. It helps tag tests and propose updates to achieve full coverage.