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M14 Mental Model

Checked
actionbook·vlatest·other

Actionbook's actionbook-m14-mental-model predicts user needs and proactively suggests relevant actions based on learned patterns.

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 actionbook/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

actionbook

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 actionbook/rust-skills at 5c40d3ad78.

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

Commit
5c40d3ad78
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

The m14-mental-model skill enables AI agents to construct and utilize internal representations of complex systems, tasks, or user goals. It allows the agent to simulate reasoning processes, break down abstract problems into manageable steps, and maintain context over multi-turn interactions without relying solely on immediate input data.

When to use it

  • Decomposing vague user requests like "plan a marketing campaign" into specific, actionable sub-tasks.
  • Simulating outcomes of different strategies before committing to an execution plan.
  • Maintaining a consistent understanding of project constraints and objectives across long conversation threads.
  • Translating high-level business goals into technical implementation steps for developers.

Key capabilities

  • Dynamic construction of internal system models based on provided context.
  • Step-by-step reasoning simulation to solve non-trivial problems.
  • Context retention and state management during extended workflows.
  • Abstraction of complex domains into simplified mental frameworks for analysis.

Example prompts

  • "Create a mental model of our current supply chain bottlenecks and suggest three optimization strategies."
  • "Before writing the code, build a mental model of how this new feature interacts with the existing authentication system."
  • "Act as a project manager; construct a mental model of our team's capacity and schedule the next sprint accordingly."

Tips & gotchas

Ensure you provide sufficient background context or domain-specific constraints when invoking this skill, as the quality of the internal model depends heavily on the input data. This skill is most effective for planning and analysis phases rather than immediate data retrieval or simple command execution.