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Goal

Checked
simhacker·vlatest·writing·MIT

This "Goal" skill helps define and track objectives, ensuring focused actions and improved task completion for your AI agent.

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 goal -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 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 simhacker/moollm at 8f6d840b2f.

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

Scanned
1 file, 149 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 goal skill allows an AI agent to set and track progress towards specific objectives. It can break down larger goals into smaller, manageable steps, and monitor performance against those milestones. The agent can also adjust its approach based on feedback or changing circumstances to ensure the goal is achieved.

When to use it

  • Project Management: To guide an AI through a complex project with multiple tasks and deadlines.
  • Learning New Skills: To structure the learning process, defining milestones for skill acquisition.
  • Content Creation: To help an agent outline and execute content creation projects, like writing a blog post or creating a presentation.
  • Research Tasks: To guide an AI through research processes, ensuring it stays focused on answering specific questions.

Key capabilities

  • Goal setting and definition
  • Task breakdown and sequencing
  • Progress tracking and monitoring
  • Adaptive planning based on feedback

Example prompts

  • "Set a goal to write a 500-word blog post about AI safety."
  • "Break down the goal of 'learn Python' into smaller steps."
  • "Track my progress towards completing the project proposal."

Tips & gotchas

The skill requires clear and specific goals for optimal performance. Vague or overly ambitious goals may lead to less effective task management.