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M14 Mental Model

Checked
goooice·vlatest·other

Analyzes complex scenarios using a detailed mental model to predict outcomes and suggest optimal actions.

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 goooice/rust-skills --skill m14-mental-model -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

goooice

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 goooice/rust-skills at 57af2e8da9.

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

Commit
57af2e8da9
Manifest
skills/m14-mental-model/SKILL.md
Scanned
2 files, 421 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

This skill, goooice-m14-mental-model, provides a mental model framework to AI agents. It allows them to reason about complex systems and situations by breaking them down into smaller, more manageable components. The agent can then use these models to predict outcomes, identify potential problems, and develop effective solutions.

When to use it

  • Troubleshooting Complex Issues: When an agent needs to diagnose a problem in a system with many interacting parts (e.g., debugging software or understanding a business process).
  • Strategic Planning: To help agents anticipate the consequences of different actions and choose the most effective course of action.
  • Learning New Concepts: When an agent is trying to understand a new domain, this skill can aid in building a structured mental representation.
  • Generating Explanations: To enable AI agents to explain their reasoning process in a clear and understandable way.

Key capabilities

  • Mental model framework
  • System decomposition
  • Outcome prediction
  • Problem identification
  • Solution development

Example prompts

  • "Explain the potential consequences of increasing interest rates on the housing market, using a mental model."
  • "I'm having trouble debugging this code. Can you help me break down the problem and identify possible causes?"
  • "Describe how a supply chain works, using a mental model to illustrate the key components and their interactions."

Tips & gotchas

The effectiveness of this skill depends on the agent’s ability to process complex information and apply logical reasoning. It's best suited for agents with existing knowledge or experience in the domain being analyzed.