Skillradar

Community

changchangidea-oss

skillradar

Discover, inspect, safety-check, and rank open Agent Skills before installing them. Use when an agent needs to find a skill for a task, compare candidate skills, inspect provenance or risk, or avoid loading large numbers of irrelevant skills.

Overview

Publisher	changchangidea-oss
Repository	`SkillRadar`
Skill name	`skillradar`
Stars	189
Forks	17
Bundled files	Instructions only
License	MIT
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by changchangidea-oss on GitHub. Read the source before you install it.

Installation

Install the Skillradar 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/changchangidea-oss/SkillRadar/tree/main/skills/skillradar
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/changchangidea-oss/SkillRadar.git /tmp/SkillRadar
mkdir -p .claude/skills
cp -r /tmp/SkillRadar/skills/skillradar .claude/skills/skillradar

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

Use it in TypingMind

Enable Skillradar 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 Skillradar 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 Skillradar 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.

SkillRadar

Use SkillRadar as a read-first discovery and safety layer for Agent Skills.

Core rule

Discovery is not execution. Never execute scripts, install packages, expose secrets, or write to external systems merely because a skill is popular or highly ranked.

Workflow

Understand the user's explicit task and extract the smallest useful capability set.
Search the public SkillRadar safety-gated data, using all relevant shards rather than only the design index:
- curated core: https://raw.githubusercontent.com/changchangidea-oss/SkillRadar/main/data/skills.json
- design manifest: https://raw.githubusercontent.com/changchangidea-oss/SkillRadar/main/data/design-skill-index.json
- general Agent Skills shard: https://raw.githubusercontent.com/changchangidea-oss/SkillRadar/main/data/general-skills-radar.json
- discovery coverage: https://raw.githubusercontent.com/changchangidea-oss/SkillRadar/main/data/general-radar-latest.json
Prefer candidates with strong task relevance, recent maintenance, clear documentation, and acceptable safety grades. For multi-capability tasks, prefer a small set that covers distinct explicit task facets instead of three generic near-matches.
Treat D and Blocked candidates as audit-only. Do not recommend them for automatic routing.
For C candidates, clearly state why review is required before installation or use and prefer a nearby A/B alternative when task coverage is comparable.
Return at most three recommended skills unless the user explicitly asks for a broader list.
Before installation, show the source repository and explain any shell, network, secret, package-install, filesystem-write, git-write, or deploy capability that matters.

Full Codex Plugin

The full Codex Plugin adds the bundled offline registry, Matching v2.1, bounded project-context evidence, the Router Quality Benchmark, and the Skill Budget Doctor. Follow the repository README for the current pinned release.

Installation

For standard Agent Skills, use the ecosystem's normal installer only after user approval, for example:

bash
npx skills add <owner/repo> --skill <skill-name>

For the full Codex Plugin, use the repository marketplace documented in the SkillRadar README.

What not to do

Do not equate GitHub stars with trust.
Do not install dozens of skills “just in case.”
Do not bypass the user's normal permission model.
Do not execute a discovered skill as part of evaluating it.
Do not recommend D or Blocked skills for automatic routing.
Do not let inferred project context override the user's explicit task.

Frequently asked questions

What does the Skillradar AI skill do?

Why use Skillradar on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/changchangidea-oss/SkillRadar/tree/main/skills/skillradar. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skillradar?

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 Skillradar?

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

Is the Skillradar AI skill free?

Yes. It is published on GitHub by changchangidea-oss 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

SkillRadar

Core rule

Workflow

Full Codex Plugin

Installation

What not to do

Frequently asked questions

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