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Model Healthcheck

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Model Healthcheck — AI and machine learning tool. Supports test models, check models.

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About This Skill

# Model Healthcheck Skill

When the user requests a model test, follow these steps:

Steps

  1. Get all model list
  2. Use `gateway config.get` to read the current config and extract all `provider/model` combinations from `models.providers`.
  1. Test all models concurrently
  2. For each model, use `sessions_spawn` to run a test:
  3. - task: "Reply with exactly: model ok. Only reply these two words."
  4. - model: the corresponding provider/model-id
  5. - runTimeoutSeconds: 30
  6. - cleanup: "delete"

Fire all tests concurrently (multiple `sessions_spawn` calls at once), do not test sequentially.

  1. Collect results and summarize
  2. Wait for all tests to complete, then summarize as a list:
  • provider/model-id — ✅ OK / ❌ Failed (Xs) — error message if any

Fields: - Status: normal reply = ✅, timeout or error = ❌ - Duration: time from spawn to result - Error: if failed, show the specific error (API error, timeout, auth failure, etc.)

  1. Output results
  2. Send the summary to the user, with a final tally:
  3. - Total models tested: X
  4. - Passed: X
  5. - Failed: X (list failed model names and reasons)

Notes

  • Skip the model currently in use (no need to test yourself)
  • If the user specifies a particular model, only test that one
  • Feishu/WhatsApp and similar platforms don't support markdown tables — use list format instead

Use Cases

  • Test AI model availability and response quality with health checks
  • Monitor model endpoint health across different providers
  • Validate model configurations and connectivity before production use
  • Run periodic health checks to detect model degradation or outages
  • Build model monitoring dashboards with automated health status checks

Pros & Cons

Pros

  • +Compatible with multiple platforms including claude-code, openclaw
  • +Well-documented with detailed usage instructions and examples
  • +Purpose-built for ai & machine learning tasks with focused functionality

Cons

  • -No built-in analytics or usage metrics dashboard
  • -Configuration may require familiarity with ai & machine learning concepts

FAQ

What does Model Healthcheck do?
Model Healthcheck — AI and machine learning tool. Supports test models, check models.
What platforms support Model Healthcheck?
Model Healthcheck is available on Claude Code, OpenClaw.
What are the use cases for Model Healthcheck?
Test AI model availability and response quality with health checks. Monitor model endpoint health across different providers. Validate model configurations and connectivity before production use.

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