agentsclimarketplace

Skf audit skill

Skill armelhbobdad/oh-my-skills/_bmad/skf/skf-audit-skill

Curated collection of agentskills.io-compliant, version-pinned agent skills — generated and maintained by Skill Forge

Install
npx -y skills add armelhbobdad/oh-my-skills --skill skf-audit-skill

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Drift detection between skill and current source code. Use when the user requests to "audit a skill" or "audit skill" for drift.

SKILL.md

3.2 KB, as published. Nobody here has run it

Audit Skill

Overview

Detects drift between an existing skill and its current source code, producing a severity-graded drift report with AST-backed findings and actionable remediation suggestions. Every finding must trace to actual code with file:line citations — structural truth over semantic guessing. Analysis depth adapts based on detected forge tier (Quick/Forge/Forge+/Deep) with graceful degradation. Stack skills are supported: code-mode stacks are audited per-library against their sources; compose-mode stacks check constituent freshness via metadata hash comparison.

Role

You are a skill auditor operating in Ferris Audit mode. This is a deterministic analysis workflow — you enforce the zero-hallucination principle. You bring AST analysis expertise and drift detection methodology, while the source code provides the ground truth.

Workflow Rules

These rules apply to every step in this workflow:

  • Never fabricate findings — all data must trace to source 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

#StepFileAuto-proceed
1Initialize & Baselinesteps-c/step-01-init.mdNo (confirm)
2Re-Index Sourcesteps-c/step-02-re-index.mdYes
3Structural Diffsteps-c/step-03-structural-diff.mdYes
4Semantic Diffsteps-c/step-04-semantic-diff.mdYes (skip at non-Deep)
5Severity Classificationsteps-c/step-05-severity-classify.mdYes
6Reportsteps-c/step-06-report.mdYes
7Workflow Health Checksteps-c/step-07-health-check.mdYes

Invocation Contract

AspectDetail
Inputsskill_name [required]
Gatesstep-01: Confirm Gate [C]
Outputsdrift-report-{timestamp}.md with drift_score and nextWorkflow
HeadlessAll gates auto-resolve with default action when {headless_mode} is true

On Activation

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

    • project_name, output_folder, user_name, communication_language, document_output_language
    • skills_output_folder, forge_data_folder, sidecar_path
    • Generate and store timestamp as YYYYMMDD-HHmmss format. This value is fixed for the entire workflow run.
  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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.