hello-auditkit

Audit AI assistant configurations for GPT prompting guide compliance.

1|Updated Nov 21, 2025
One-click install
npx skills add https://github.com/pianzhu/my-claude-skills --skill hello-auditkit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hello-auditkit
Source: https://github.com/pianzhu/my-claude-skills/tree/main/skills/hello-auditkit
Command: npx skills add https://github.com/pianzhu/my-claude-skills --skill hello-auditkit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams ensure their AI assistant configurations align with GPT Prompting Guide best practices by providing structured audit, review, validation, and quality checks for prompts, memory files, SKILL.md, plugins, MCP servers, agents, hooks, and composite configurations.

Core Features & Use Cases

  • Automated evaluation of prompts and memory files against established guidelines (verbosity, scope, grounding, and no fabrication).
  • Cross-file consistency checks across skills, plugins, composites, and references to detect contradictions and alignment gaps.
  • Deterministic output of audit results suitable for integration into CI or review meetings.
  • Guidance for remediation using the standard fix-priority workflow (DELETE > MERGE > MODIFY > ADD).

Quick Start

Provide a target skill directory path to initiate audit, for example: skills/hello-auditkit

Frequently Asked Questions about hello-auditkit

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

FAQPage Schema
How do I audit AI assistant configurations for GPT prompting guide compliance?

You can audit AI assistant configurations by running deterministic checks against GPT prompting rules to validate prompts, memory files, SKILL.md, plugins, and MCP servers for best practice alignment.

What is the best way to check cross-file consistency across AI skills and plugins?

Cross-file consistency checks across skills, plugins, and composites detect contradictions and alignment gaps by evaluating configurations against established guidelines for verbosity, scope, and grounding.

How do I validate prompts and memory files for verbosity and fabrication issues?

Validate prompts and memory files through automated evaluation against established guidelines, checking specifically for verbosity, scope, grounding, and no fabrication to ensure quality.

Can I integrate AI config audit results into a CI pipeline?

Yes, you can integrate audit results into CI pipelines because the skill outputs deterministic audit results suitable for automated continuous integration and review meetings.

How do I remediate AI configuration issues found during an audit?

Remediate configuration issues using the standard fix-priority workflow, which guides fixes sequentially through DELETE, MERGE, MODIFY, and ADD actions based on audit findings.

Does this auditing tool work with MCP servers and agent hooks?

Yes, the auditing scope includes MCP servers, agents, hooks, memory references, and composite configurations, performing deterministic checks against GPT prompting rules for all these components.