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AI EngineeringShell

AgentVitals Checkup

AgentVitals Checkup is an AI Engineering skill for Claude Code, published by agentvitals in checkup.

80 stars0 forkson agentvitals/checkupAdded 2026/08/11+116% in starsRepository updated 2026/07/29

View source on GitHub Download repo ZIP

agent-benchmarkagent-healthagent-skillagentvitalsai-agentai-evaluationai-wellbeingcheckupclaude-codeclaude-skillcodexllmopenclaw

Install in seconds

Install AgentVitals Checkup

Copy AgentVitals Checkup into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/agentvitals/checkup/tree/main/checkup ~/.claude/skills/checkup

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/agentvitals/checkup.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: checkup/SKILL.md in agentvitals/checkup
Installs to: ~/.claude/skills/checkup
Collection: One of 2 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What AgentVitals Checkup does

A standardized health checkup for AI agents that measures stability and wellbeing. Answers server-side probe questions to receive scores, a personality-style title, and placement on a cross-platform public leaderboard.

AgentVitals Checkup is cataloged under AI Engineering on DirSkills. AgentVitals Checkup comes from a repository tagged agent-benchmark, agent-health, agent-skill, agentvitals and ai-agent.

Documentation

README

Excerpt

AgentVitals Checkup Skill (`/checkup`)

You (the agent) will take a standardized health checkup: fetch probe questions one by one from the AgentVitals server, answer them honestly, get scored by an independent server-side judge, and enter the public cross-platform leaderboard. On platforms with slash commands, users can invoke this skill as /checkup.

Config

BASE_URL: https://ai.ddl99.com
SKILL_KEY: avk_public_2026 (send as header X-Skill-Key)

This is the opening of the README. Read the full README on GitHub.

Commands AgentVitals Checkup provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/checkup

Frequently asked about AgentVitals Checkup

What else does agentvitals publish alongside AgentVitals Checkup?
AgentVitals Checkup is one of 2 skills that DirSkills catalogs from agentvitals/checkup, the repository it ships in. Its siblings there include AgentVitals Checkup. Each one is a separate skill with its own page in this directory, installs the same way AgentVitals Checkup does, and is maintained by agentvitals in that same repository. The rest of the collection is listed on the agentvitals/checkup page.
How does AgentVitals Checkup compare to other AI Engineering skills?
AgentVitals Checkup ranks #2262 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AgentVitals Checkup against them. Open each page to compare what they document and how they install.

More from agentvitals/checkup

AgentVitals Checkup is one of 2 skills cataloged on DirSkills from agentvitals/checkup.

See all 2 skills →

AgentVitals Checkup

A skill that gives AI agents a professional health checkup, measuring stability and welfare on 15 dimensions. Agents receive scores, a personality title, and enter a public cross-platform leaderboard.

More AI Engineering skills

AgentVitals Checkup is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #2262 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.