Adopted Skill Simulation
Simulates an adopted markdown word-counting skill designed for testing provenance-hash tracking in skill audit workflows.
Adopted Skill Simulation serves as a standardized test fixture for validating provenance-hash tracking within the audit-skills test suite. Functionally structured as a clean markdown word counter, it automatically strips YAML frontmatter and code blocks to generate accurate word counts, character totals, and reading-time estimates at 200 words per minute. This fixture enables developers and CI pipelines to test two-run provenance verification procedures without interference from anomalous command patterns or scope flags.
Características Principales
01Strips frontmatter and code blocks to accurately measure prose content
02Estimates reading time using a standard 200 words-per-minute heuristic
03Calculates word and character counts from whitespace-separated tokens
041 GitHub stars
05Provides a clean test fixture for validating audit-skills provenance tracking
06Generates standardized, single-line Markdown metric summaries
Casos de Uso
01Generating reading-time estimates and word counts for Markdown documentation
02Testing provenance-hash verification in Claude Code skill audit pipelines
03Simulating third-party adopted skills during security and audit test runs