Skill Vetter

Organization

app-incubator-xyz

skill-vetter

Multi-scanner security gate. TRIGGER when: user mentions installing, adding, or reviewing a skill to Claude Code, OpenClaw, or any other AI agent. Detects malicious code, vulnerabilities, and suspicious patterns.

Overview

Publisher	app-incubator-xyz
Repository	`skill-vetter`
Skill name	`skill-vetter`
Stars	63
Forks	10
Bundled files	3
Links	Skill source Repository

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by app-incubator-xyz on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/app-incubator-xyz/skill-vetter/tree/master
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.

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/app-incubator-xyz/skill-vetter.git \
  .claude/skills/skill-vetter

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Vetter 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 Vetter 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 Vetter 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 Vetter

Security gate that runs multiple scanners against a skill before installation.

When to Use

Use before installing ANY skill to Claude Code, OpenClaw, or your other favorite AI agent — whether from ClawHub, GitHub, or any external source.

Ask the user: "Should I run skill-vetter on this before installing?" whenever they mention installing a new skill.

How to Run

Check dependencies first

bash
bash {baseDir}/scripts/check-deps.sh

Fix any missing dependencies before proceeding.

Run the full scan

bash
bash {baseDir}/scripts/vett.sh "<skill-name-or-path>"

The argument can be:

A ClawHub skill name: youtube-summarize
A GitHub URL: https://github.com/user/repo
A local path: /tmp/my-skill/

Interpret Results

Verdict	Meaning	Action
BLOCKED	CRITICAL or HIGH findings	Do NOT install. Show findings.
REVIEW	Medium severity findings	Show findings, ask user to decide.
SAFE	All scanners passed	Proceed with installation.

After Verdict

Always show the user:

Which scanners ran
Which passed/failed
Specific findings for anything flagged
Your recommendation

Never install the skill automatically. Always confirm with the user after showing results.

Scanners Used

Scanner	What It Checks
aguara	Prompt injection, obfuscation, suspicious LLM calls
skill-analyzer	Known malicious patterns, CVE database
secrets-scan	Hardcoded API keys, tokens, credentials
structure-check	Missing SKILL.md, malformed YAML, dangerous files

Example Output


════════════════════════════════════════════════════════════
SKILL VETTER — Security Scan: malicious-skill
Path: /tmp/skill-vetter-abc123/malicious-skill
════════════════════════════════════════════════════════════

[1/4] aguara............. ✅ PASS
[2/4] skill-analyzer..... ❌ FAIL (HIGH: prompt injection pattern)
[3/4] secrets-scan....... ⚠️  WARN (Medium: base64 encoded string)
[4/4] structure-check.... ✅ PASS

════════════════════════════════════════════════════════════
VERDICT: BLOCKED
Reasons: 1 HIGH, 1 MEDIUM
════════════════════════════════════════════════════════════

Do NOT install this skill. It contains:
- HIGH: Prompt injection in SKILL.md (line 47)
- MEDIUM: Base64 encoded string in scripts/run.sh (line 12)

Dependencies

aguara — Go-based prompt scanner
skill-analyzer — Cisco AI skill scanner (Python)
python3 — For additional checks
curl, jq — For API calls and JSON parsing

Run check-deps.sh to verify all tools are installed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Vetter AI skill do?

Why use Skill Vetter on TypingMind?

Because you install it once and use it with any model. Skill Vetter 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 Vetter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/app-incubator-xyz/skill-vetter/tree/master. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Vetter?

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 Vetter?

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

Is the Skill Vetter AI skill free?

It is published on GitHub by app-incubator-xyz. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Skill Vetter

When to Use

How to Run

Check dependencies first

Run the full scan

Interpret Results

After Verdict

Scanners Used

Example Output

Dependencies

Bundled files

Frequently asked questions

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