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Reward

Checked
simhacker·vlatest·other·MIT

This "Reward" skill automatically grants tokens to users based on specific actions, boosting engagement and incentivizing desired behaviors.

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 simhacker/moollm --skill reward -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.

Commit
8f6d840b2f
Manifest
skills/reward/SKILL.md
Scanned
1 file, 162 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 reward skill provides a mechanism to assign numerical rewards to actions or events within an AI agent's environment. It allows for the reinforcement of desired behaviors and discouragement of undesirable ones, facilitating learning through positive and negative feedback loops. This skill is designed to be integrated into agent training pipelines where quantifiable outcomes are important.

When to use it

  • Training a game-playing bot: Reward successful moves or achieving objectives within a game environment.
  • Simulating customer service interactions: Assign rewards based on positive customer feedback or resolution of issues.
  • Optimizing resource allocation: Provide rewards for efficient utilization of resources and penalties for waste.
  • Guiding navigation tasks: Reward reaching the target location quickly and safely, penalize collisions.

Key capabilities

  • Numerical reward assignment
  • Integration into agent training pipelines
  • Positive and negative feedback loops
  • Quantifiable outcome tracking

Example prompts

  • "Give a reward of 10 points for successfully completing task X."
  • "Penalize the agent with -5 points if it collides with an obstacle."
  • “Reward reaching the destination within 60 seconds.”

Tips & gotchas

The effectiveness of this skill depends heavily on carefully defining what constitutes a positive or negative outcome. Incorrect reward structures can lead to unintended and undesirable behaviors in the AI agent.