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Goap Agent

Checked
d-o-hub·vlatest·agents·MIT

GOAP-Agent plans actions to achieve goals using a defined world state, enabling intelligent task completion.

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 d-o-hub/rust-self-learning-memory --skill goap-agent -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

d-o-hub

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 d-o-hub/rust-self-learning-memory at da7210f59b.

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

Commit
da7210f59b
Manifest
.agents/skills/goap-agent/SKILL.md
Scanned
8 files, 1,104 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 goap-agent skill enables AI agents to plan and execute actions based on Goal Oriented Action Planning (GOAP). It allows an agent to define goals, available actions with preconditions and effects, and then automatically generate a sequence of actions to achieve the desired goal. This facilitates more complex and adaptive behavior compared to simple reactive systems.

When to use it

  • Task Automation: Automate sequences of tasks in a simulated environment or game world where dependencies exist between steps.
  • Resource Management: Plan optimal resource gathering strategies based on current availability and required amounts for specific goals.
  • Navigation & Exploration: Develop agents that can navigate complex environments by planning routes to achieve exploration objectives.
  • Complex Problem Solving: Implement agents capable of solving problems requiring multiple steps and dependencies, such as setting up a manufacturing process or completing a construction project.

Key capabilities

  • Goal Oriented Action Planning (GOAP)
  • Action Precondition & Effect Definition
  • Plan Generation
  • Automated Task Execution

Example prompts

  • "Agent, your goal is to 'cook_dinner'. What's the plan?"
  • "Create a plan for the agent to achieve the state 'house_is_clean'."
  • "What actions are available to reach the goal of 'repair_robot'?"

Tips & gotchas

The effectiveness of this skill relies on accurately defining action preconditions and effects. Incorrectly defined rules will lead to failed or suboptimal plans.