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twl:workflow-prompt-audit

Scan prompt libraries for stale components and apply audit results.

Updated Apr 5, 2026
Search Tags:#automation#workflow#audit#prompts#tech-debt#llm-review#refined_by
One-click install
npx skills add https://github.com/shuu5/twill --skill twl-workflow-prompt-audit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: twl:workflow-prompt-audit
Source: https://github.com/shuu5/twill/tree/main/plugins/twl/skills/workflow-prompt-audit
Command: npx skills add https://github.com/shuu5/twill --skill twl-workflow-prompt-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompts and prompt tooling often drift out of compliance and quality. This workflow automates identifying stale or unreviewed components and initiates a structured audit process to keep prompts aligned with standards and traceable changes.

Core Features & Use Cases

  • Automated discovery: scans for stale/unreviewed components and prioritizes them for review.
  • Parallel review: leverages worker-prompt-reviewer to assess targets concurrently, collecting PASS/WARN/FAIL signals.
  • Automated remediation: applies results to update refined_by/refined_at or create tech-debt issues, with guards and reporting.
  • Wide applicability: suitable for teams maintaining prompt libraries or co-project prompt-audit modes.

Quick Start

Run the workflow to scan for stale components, review them with parallel reviewers, and apply results to refine components or open issues.

Frequently Asked Questions about twl:workflow-prompt-audit

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

FAQPage Schema
How do I automate prompt compliance auditing for a large prompt library?▼

Automate prompt compliance auditing by scanning your prompt library for stale or unreviewed components, running parallel LLM reviews, and applying safe updates to refine metadata or log tech-debt issues.

What is the best way to identify stale prompts and unreviewed components in my project?▼

Identifying stale prompts is handled by automated discovery scans that target projects with prompt libraries, prioritizing unreviewed components for structured audit workflows to maintain compliance and traceable changes.

How do I update refined_by and refined_at metadata after a prompt review?▼

Update refined_by and refined_at metadata through automated remediation, which applies review results to refine components or open tech-debt issues, utilizing preflight checks and fail-fast behavior for safe, auditable updates.

Can I run parallel LLM reviews to assess prompt quality concurrently?▼

Parallel LLM reviews are supported by leveraging worker-prompt-reviewer to assess targets concurrently, collecting PASS, WARN, and FAIL signals to evaluate prompt quality at scale.

What happens when a prompt audit encounters a critical failure condition?▼

Critical failure conditions trigger fail-fast behavior during the prompt audit, halting the workflow to ensure safe updates and prevent unreviewed changes from being applied to the prompt components.

Do I need a specific environment setup to run automated workflow audits?▼

Automated workflow audits require a project with a prompt library to scan, as the workflow enforces preflight checks before initiating parallel reviews and remediating unreviewed components.

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