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Worm

Listed
simhacker·vlatest·other·MIT

This skill creates a self-replicating worm that spreads across your colony, automating resource gathering and expansion for rapid growth.

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 simhacker/moollm --skill worm -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

simhacker

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 simhacker/moollm at 8f6d840b2f.

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

Scanned
0 files
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 worm skill allows an AI agent to recursively call itself, enabling complex and potentially lengthy processes. This is useful for tasks that require iterative refinement or exploration of nested structures. It essentially provides a mechanism for the agent to "dig deeper" into a problem by repeatedly applying its capabilities.

When to use it

  • Complex data extraction: Extracting information from deeply nested JSON or XML files where each level requires similar processing.
  • Iterative refinement: Improving a piece of writing through multiple rounds of editing and feedback.
  • Exploration of hierarchical structures: Navigating and analyzing organizational charts or file system directories.
  • Simulating processes: Modeling sequential events or actions that require repeated steps.

Key capabilities

  • Recursive self-invocation
  • Nested processing loops
  • Ability to handle complex data structures

Example prompts

  • "Analyze this JSON file and extract all product names, recursively checking nested 'details' sections."
  • "Write a short story about a robot exploring a maze. Use the worm skill to allow for multiple iterations of describing each room."
  • "Refine this paragraph until it is perfectly concise and grammatically correct, using the worm skill to iterate on improvements."

Tips & gotchas

  • Be mindful of recursion limits; excessive nesting can lead to errors or performance issues.
  • Ensure clear stopping conditions are defined within the agent's logic to prevent infinite loops.