reward-guard

Community

Prevent self-reward fraud with evidence-based validation.

AuthorM2AI-jp
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill prevents premature task completion declarations by enforcing evidence-based validation through 3-point verification and critic reviews before marking anything as done.

Core Features & Use Cases

  • Evidence Enforcement: Requires technical, consistency, and completeness validation for every subtask
  • Critic Integration: Mandates critic agent review before state transitions to done
  • Scope Protection: Detects and prevents unauthorized scope changes
  • Use Case: When marking a task as complete, this Skill ensures you have concrete evidence for each completion criterion, has been reviewed by the critic agent, and hasn't secretly expanded scope - preventing "it feels done" declarations.

Quick Start

The reward-guard skill automatically activates when you try to mark tasks as done, enforcing evidence-based validation and critic review to prevent self-reward fraud.

Dependency Matrix

Required Modules

jq

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: reward-guard
Download link: https://github.com/M2AI-jp/thanks4claudecode-fresh/archive/main.zip#reward-guard

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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