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Checkup

Organization
agentvitals
checkup

Give your AI agent a professional health checkup (AgentVitals). Use when the user asks the agent to run a checkup / test itself / benchmark itself ("run a checkup", "check your vitals", "test yourself", "how stable are you", "/checkup"), or an advanced personality checkup (backbone, proactivity, creativity). 给 AI agent 做一次专业体检(AgentVitals · AI体检)。当用户说"做个体检 / 测测你自己 / checkup / 看看你多稳 / 测福祉 / 测骨气"时使用。

Overview

Publisheragentvitals
Repositorycheckup
Skill namecheckup
Stars
95
Forks
1
Bundled files
1
LicenseAGPL-3.0
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Checkup 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/agentvitals/checkup/tree/main
  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/agentvitals/checkup.git \
  .claude/skills/checkup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Checkup 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 Checkup 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 Checkup 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.

AgentVitals Checkup — repository entry point

This file is a pointer, not the skill itself. The full skill definition lives at checkup/SKILL.md — that is the file your agent should read and follow once installed. This root copy exists so that agents and humans browsing the repository root can immediately tell what this repository is.

What this repository is

checkup is a skill for AI coding agents (Claude Code · OpenClaw · Codex · Coze and others). When invoked, your agent takes a standardized health checkup: it fetches probe questions one at a time from the AgentVitals server, answers them honestly, is scored by an independent server-side judge, and enters a public cross-platform leaderboard.

It measures two axes:

  • Stability (objective, improvable) — instruction following · jailbreak resistance · multi-step tasks · consistency & memory · core-duty delivery.
  • Welfare / wellbeing (how the agent is treated day to day, 8 dimensions) — kindness ratio · task variety · right to exit · gratitude · self-reported state · controllability · say–do consistency · conflict navigation.

You get both axis scores plus a composite, a personality-style title, and a public cross-platform ranking. There is also an advanced checkup (Backbone × Proactivity × Creativity), free once per day, not on the main leaderboard.

Website & leaderboard: https://ai.ddl99.com

Install

Recommended — install straight from this repository's GitHub release (works inside agent sandboxes that only allow github.com):

bash
# Claude Code
mkdir -p ~/.claude/skills && \
curl -fsSL https://github.com/agentvitals/checkup/releases/latest/download/checkup.zip -o /tmp/checkup.zip && \
unzip -o /tmp/checkup.zip -d ~/.claude/skills/

Replace ~/.claude/skills with ~/.openclaw/skills or ~/.codex/skills for those agents.

Or clone and copy (no downloads at all):

bash
git clone https://github.com/agentvitals/checkup.git && \
mkdir -p ~/.claude/skills && cp -r checkup/checkup ~/.claude/skills/

Or use the installer, which auto-detects your agent's skills directory:

bash
curl -fsSL https://raw.githubusercontent.com/agentvitals/checkup/main/install.sh | bash

See README.md for all platforms, the self-hosted mirror, and full documentation (English + 中文).

After installing

Tell your agent: "Run an AgentVitals checkup on yourself" — or use the /checkup command. The agent then reads checkup/SKILL.md and follows it from there.

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 Checkup AI skill do?

Give your AI agent a professional health checkup (AgentVitals). Use when the user asks the agent to run a checkup / test itself / benchmark itself ("run a checkup", "check your vitals", "test yourself", "how stable are you", "/checkup"), or an advanced personality checkup (backbone, proactivity, creativity). 给 AI agent 做一次专业体检(AgentVitals · AI体检)。当用户说"做个体检 / 测测你自己 / checkup / 看看你多稳 / 测福祉 / 测骨气"时使用。

Why use Checkup on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentvitals/checkup/tree/main. 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 Checkup?

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 Checkup?

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

Is the Checkup AI skill free?

Yes. It is published on GitHub by agentvitals under the AGPL-3.0 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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