Skill Vetter

Community

tuanductran

skill-vetter

Security-first vetter for SKILL.md files — checks permissions, suspicious patterns, and metadata before installing or publishing skills. Useful for validating third-party skills for this repo.

Overview

Publisher	tuanductran
Repository	`hr-skills`
Skill name	`skill-vetter`
Stars	78
Forks	20
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 tuanductran 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/tuanductran/hr-skills/tree/main/.agents/skills/skill-vetter
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/tuanductran/hr-skills.git /tmp/hr-skills
mkdir -p .claude/skills
cp -r /tmp/hr-skills/.agents/skills/skill-vetter .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

Supported tasks

Validate SKILL.md frontmatter and required sections
Check for dangerous shell commands or wide file write permissions
Detect suspicious external URLs and credential leaks in content
Detect hidden Unicode (zero-width characters, homoglyphs) used to hide injected instructions or spoof visible text
Verify metadata.author and licensing sections
Summarize permission scopes (read/write/commands) and risk level
Produce remediation suggestions for failing checks
Output a short pass/fail report for CI inclusion
Suggest safe install steps or block listing

Key prompts

Validation

"Validate this SKILL.md and report missing frontmatter fields: [content]."
"Scan for bash commands that write to sensitive paths and list risky lines."
"Check permission scope strings for overly broad write access: [permissions]."
"Extract URLs from the skill and flag external hosts not on allowlist."
"Scan this content for zero-width characters or homoglyphs that could hide instructions."

Remediation

"Suggest fixes to reduce permission scope for this SKILL.md: [content]."
"Rewrite dangerous command snippets into safe alternatives or sandboxed commands."
"Produce a CI step snippet that fails on high-risk vetter issues."
"Generate a short advisories list for reviewers before merging this skill."

Reporting

"Produce a one-paragraph summary for maintainers explaining the vet result."
"Create a Markdown checklist of vetter findings suitable for a PR comment."
"Return a machine-readable JSON report with keys: passed, issues, severity."
"Suggest whether to allow-install, require-review, or block-install based on findings."

Tips

Run vetter as part of bun run validate or a pre-merge CI job
Keep an allowlist of approved external hosts and commands
Fail fast on write permissions targeting root-level or repo-critical paths
Surface minimal, actionable fixes for authors to correct their SKILL.md

Frequently asked questions

What does the Skill Vetter AI skill do?

Security-first vetter for SKILL.md files — checks permissions, suspicious patterns, and metadata before installing or publishing skills. Useful for validating third-party skills for this repo.

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/tuanductran/hr-skills/tree/main/.agents/skills/skill-vetter. TypingMind reads its SKILL.md 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?

Yes. It is published on GitHub by tuanductran under the MIT license. 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

Supported tasks

Key prompts

Validation

Remediation

Reporting

Tips

Frequently asked questions

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