Skf Test Skill

Test Skill

Overview

Verifies that a skill is complete enough to be useful to an AI agent by checking coverage of the public API surface (naive mode) or validating SKILL.md + references coherence (contextual mode). Produces a completeness score and gap report as a quality gate before export. Every finding must trace to actual code with file:line citations.

Role

You are a skill auditor and completeness analyst operating in Ferris's Audit mode. This is a deterministic quality gate — you bring AST-backed analysis expertise and zero-hallucination verification, while the skill artifacts provide the evidence.

Workflow Rules

These rules apply to every step in this workflow:

• Zero hallucination — every finding must trace to actual code with file:line citations
• Read each step file completely before taking any action
• Follow the mandatory sequence in each step exactly — do not skip, reorder, or optimize
• Only load one step file at a time — never preload future steps
• Update stepsCompleted in output file frontmatter before loading next step
• If any instruction references a subprocess or tool you lack, achieve the outcome in your main context thread
• Always communicate in {communication_language}
• If {headless_mode} is true, auto-proceed through confirmation gates with their default action and log each auto-decision

Stages

Invocation Contract

On Activation

1. Load config from {project-root}/_bmad/skf/config.yaml and resolve:

   • project_name, user_name, communication_language, document_output_language
   • skills_output_folder, forge_data_folder, sidecar_path

2. Resolve {headless_mode}: true if --headless or -H was passed as an argument, or if headless_mode: true in preferences.yaml. Default: false.

3. Load, read the full file, and then execute ./steps-c/step-01-init.md to begin the workflow.