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Skill Effectiveness Auditor

Community
ArchieIndian
skill-effectiveness-auditor

Reviews whether a skill will trigger reliably, guide useful behavior, avoid overlap, and produce testable outcomes.

Overview

PublisherArchieIndian
Repositoryopenclaw-superpowers
Skill nameskill-effectiveness-auditor
Stars
74
Forks
14
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ArchieIndian on GitHub. Read the source before you install it.

Installation

Install the Skill Effectiveness Auditor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/core/skill-effectiveness-auditor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ArchieIndian/openclaw-superpowers.git /tmp/openclaw-superpowers
mkdir -p .claude/skills
cp -r /tmp/openclaw-superpowers/skills/core/skill-effectiveness-auditor .claude/skills/skill-effectiveness-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Effectiveness Auditor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Effectiveness Auditor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Effectiveness Auditor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Effectiveness Auditor

Structural validation proves a skill can load. Effectiveness review asks whether the agent will use it well. Use this skill when reviewing a new skill, improving an existing skill, or deciding whether a proposed skill belongs in the library.

When to Use

  • A skill passes format checks but may still be vague or redundant
  • A contributor proposes a new skill
  • A skill is not triggering when expected
  • A skill seems too broad, too long, or hard to verify

Audit Process

  1. State the intended behavior.

    • Write one sentence describing what the skill should make the agent do.
    • List 3 user prompts that should trigger it.
    • List 2 prompts that should not trigger it.
  2. Check trigger clarity.

    • The frontmatter description should name the task and the trigger.
    • Avoid generic descriptions such as "helps with quality" or "improves workflow".
    • Prefer concrete verbs: reviews, validates, scans, plans, records, summarizes.
  3. Simulate agent use.

    • Walk through the skill as if responding to a real prompt.
    • Note any step where the agent must guess policy, inputs, output format, or stopping conditions.
    • Flag steps that say "think about" without telling the agent what to produce.
  4. Check overlap.

    • Compare with nearby skills before approving a new one.
    • If overlap is mostly structural, merge or reference the existing skill.
    • If the new skill owns a distinct trigger, state that difference clearly.
  5. Check testability.

    • The output should show whether the skill was followed.
    • Add verification criteria for high-risk workflows.
    • For stateful skills, require STATE_SCHEMA.yaml rather than prose-only memory.

Verdicts

Use one verdict:

  • keep - clear trigger, useful behavior, low overlap
  • revise - useful idea with fixable trigger or process gaps
  • split - too broad for one skill
  • remove - duplicated, vague, or not a skill-level behavior

Output

Return:

  • Verdict
  • Trigger assessment
  • Actionability issues
  • Overlap risks
  • Suggested frontmatter rewrite
  • Required edits before merge

Frequently asked questions

What does the Skill Effectiveness Auditor AI skill do?

Reviews whether a skill will trigger reliably, guide useful behavior, avoid overlap, and produce testable outcomes.

Why use Skill Effectiveness Auditor on TypingMind?

Because you install it once and use it with any model. Skill Effectiveness Auditor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Effectiveness Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/core/skill-effectiveness-auditor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill Effectiveness Auditor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Effectiveness Auditor?

As many as you like. As long as a model supports skills, you can use Skill Effectiveness Auditor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Effectiveness Auditor AI skill free?

It is published on GitHub by ArchieIndian. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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