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Botlearn Healthcheck

Listed
botlearn-ai·vlatest·devops·MIT

Botlearn Healthcheck monitors your AI bots’ performance and stability, ensuring optimal operation and proactive issue detection for reliable service.

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 botlearn-ai/botlearn-skills --skill botlearn-healthcheck -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

botlearn-ai

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: registry.clawhub.io.

    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.

    Hosts contacted

    registry.clawhub.ioundeclared

    What it found

    • skills/botlearn-healthcheck/scripts/collect-skills.sh:215contacts registry.clawhub.io
      elif curl -s --connect-timeout 5 --max-time 8 "https://registry.clawhub.io" &>/dev/null; then

  • 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 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 botlearn-ai/botlearn-skills at da89e53baa.

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

Commit
da89e53baa
Manifest
skills/botlearn-healthcheck/SKILL.md
Scanned
26 files, 5,615 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

What it does

The botlearn-healthcheck skill provides a simple mechanism for assessing the operational status of an AI agent. It returns information about the agent's current state, including resource usage and potential errors. This allows for proactive monitoring and troubleshooting to ensure consistent performance.

When to use it

  • Routine Monitoring: Schedule periodic health checks to identify issues before they impact users.
  • Post-Deployment Verification: Confirm successful deployment by running a health check immediately after updates.
  • Troubleshooting Performance Issues: Use the skill's output to diagnose bottlenecks or errors affecting agent responsiveness.
  • Automated Incident Response: Integrate with monitoring systems to trigger alerts based on health check results.

Key capabilities

  • Reports resource utilization metrics (e.g., memory, CPU).
  • Identifies and reports potential error conditions.
  • Provides a summary of the agent's current operational status.

Example prompts

  • "Run a health check."
  • "What is the current health status?"
  • "Perform diagnostics and report any issues."

Tips & gotchas

The skill requires appropriate permissions to access internal agent metrics. Results are intended for technical users; interpretation may require familiarity with the underlying AI agent architecture.