/meta--health-check

/meta--health-check is a Claude Code skill in the AI & Agents section. Checks every installed skill for structure, declared permissions and safety, then produces a health report of what passes and what fails.

Author's description

Run a health check on all installed skills - validate structure, permissions, and safety

How to ask for it

/meta--health-check check all my installed skills
/meta--health-check look for risky permissions in my skills
/meta--health-check validate the structure of my custom commands

Install

curl -fsSL https://raw.githubusercontent.com/sgomez-dev/claude-skills/main/install.sh | bash

After installing with the script, type /meta--health-check. Using Cursor, Windsurf or Codex? Platform guides

Demo coming soon

/meta--pipeline-runRunning a skill pipeline
Runs a chain of skills defined in a pipeline file, with quality gates between steps and a final summary showing the result of each step.
Built here
/meta--skill-forgeCreating a new skill
Generates a new skill from a plain-language description, together with its permission manifest and a test file.
Built here
/meta--skills-initProject-specific skills setup
Scans your project, detects its tech stack and activates only the relevant skills, saving the choice as a project configuration file.
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/ml--dataset-prepPreparing an ML dataset
Turns a raw dataset into a clean, well-split, leakage-free base for modeling: profiling, cleaning, train/validation/test splits and balance checks.
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/ml--feature-engineeringFeature engineering for ML
Designs features for a tabular ML problem inside a leakage-safe pipeline: encodings, scaling, interactions and date-based features.
Built here
/ml--mlops-pipelineMLOps setup
Gives an ML project reproducible training, experiment tracking, a model registry and CI, sized to the team instead of a full platform.
Built here

How to ask for it

Install

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