Reward

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by simhacker · vlatest · Repository

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

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add reward npx -- -y @trustedskills/reward
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "reward": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/reward"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

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.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
simhacker
Installs
10

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Passed automated security scans.