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Joelclaw System Check

Listed
joelhooks·vlatest·other

The Joelclaw System Check verifies your AI's operational status and identifies potential issues for optimal performance and reliability.

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 joelhooks/joelclaw --skill joelclaw-system-check -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

joelhooks

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 2 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 5 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: 100.67.156.41, 100.99.76.47, 192.168.1.10, joels-mac-studio.tail7af24.ts.net, panda.tail7af24.ts.net.

    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

    joels-mac-studio.tail7af24.ts.netundeclared127.0.0.1local100.67.156.41undeclared192.168.1.10undeclared100.99.76.47undeclaredpanda.tail7af24.ts.netundeclared

    What it found (3 of 9)

    • skills/joelclaw-system-check/SKILL.md:152contacts joels-mac-studio.tail7af24.ts.net
      --central-url http://joels-mac-studio.tail7af24.ts.net:3111 \
    • skills/joelclaw-system-check/scripts/postboot.sh:225contacts joels-mac-studio.tail7af24.ts.net
      http://localhost:3111|http://127.0.0.1:3111|http://joels-mac-studio.tail7af24.ts.net:3111) ;;
    • skills/joelclaw-system-check/scripts/postboot.sh:229contacts joels-mac-studio.tail7af24.ts.net
      http://localhost:8108|http://127.0.0.1:8108|http://joels-mac-studio.tail7af24.ts.net:8108) ;;

  • No credential access: failed

    Touches credential material in 1 place.

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

    What it found

    • skills/joelclaw-system-check/scripts/postboot.sh:12environment file outside the project
      SYSTEM_ENV="${SYSTEM_ENV:-${HOME}/.config/system-bus.env}"

  • 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 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 joelhooks/joelclaw at acb5544732.

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

Commit
acb5544732
Manifest
skills/joelclaw-system-check/SKILL.md
Scanned
4 files, 985 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 joelclaw-system-check skill provides a mechanism to assess and report on the status of system resources. It can determine if specific services are running, check disk space availability, and generally provide an overview of key system health indicators. This allows AI agents to proactively monitor their environment and respond appropriately to potential issues.

When to use it

  • Automated Health Checks: Schedule regular checks to ensure critical systems remain operational.
  • Pre-Task Verification: Before initiating a complex task, verify that all necessary resources are available.
  • Troubleshooting Assistance: Quickly gather system information when diagnosing unexpected behavior.
  • Resource Monitoring: Track disk space and service status over time to identify trends or potential problems.

Key capabilities

  • Service Status Checks
  • Disk Space Reporting
  • System Health Overview

Example prompts

  • "Check if the database server is running."
  • "Report available disk space on drive C:.”
  • “Give me a summary of system health indicators.”

Tips & gotchas

The skill requires appropriate permissions to access system resources. Ensure the AI agent has sufficient privileges to perform the requested checks.