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Health Check Endpoints

Checked
aj-geddes·vlatest·devops·MIT

These endpoints automatically assess API health and availability, ensuring reliable service delivery and proactive issue detection.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill health-check-endpoints -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/health-check-endpoints/SKILL.md
Scanned
6 files, 654 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The health-check-endpoints skill enables AI agents to automatically verify the availability and status of external services, APIs, or internal infrastructure. It performs routine diagnostic checks to ensure system components are responding correctly before relying on them for tasks.

When to use it

  • Pre-flight verification: Confirm that a payment gateway or database is online before initiating a transaction-heavy workflow.
  • Dependency monitoring: Continuously check if third-party APIs (e.g., weather services, translation engines) remain accessible during long-running operations.
  • Post-deployment validation: Automatically test new microservices immediately after deployment to catch connectivity issues early.
  • Scheduled maintenance checks: Run periodic health scans to detect service outages or latency spikes before they impact user experience.

Key capabilities

  • Sends HTTP requests to specified endpoints to retrieve status codes and response times.
  • Evaluates server responses to determine if a service is healthy, degraded, or down.
  • Logs check results for audit trails and alerting purposes.
  • Supports custom headers and authentication tokens for secure endpoint access.

Example prompts

  • "Run a health check on our primary database connection and the external weather API before starting the daily report generation."
  • "Monitor the status of all microservices in our production cluster every 15 minutes and alert me if any return a 500 error."
  • "Verify that the payment processing endpoint is reachable and responding within 200ms before allowing users to checkout."

Tips & gotchas

Ensure your AI agent has valid network permissions and necessary API keys configured, as health checks often require authentication. Avoid over-checking high-traffic endpoints to prevent adding unnecessary load during peak usage times.