thumbgate-feedback

Convert thumbs up/down feedback into structured prevention rules for AI agents.

25|7|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/IgorGanapolsky/ThumbGate --skill thumbgate-feedback
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thumbgate-feedback
Source: https://github.com/IgorGanapolsky/ThumbGate/tree/main/plugins/claude-skill
Command: npx skills add https://github.com/IgorGanapolsky/ThumbGate --skill thumbgate-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ThumbGate Feedback Skill turns thumbs up/down and worked/failed signals from Claude Code into structured prevention rules so repeated agent mistakes get blocked before the next tool call.

Core Features & Use Cases

  • Feedback-to-memory capture: Converts explicit quality signals into structured memories and lesson-like entries.
  • Prevention rule auto-generation: Creates and updates prevention rules from repeated negative outcomes and their context.
  • Session-start context loading: Pulls prior feedback summaries and prevention rules into the session so the agent starts safer.

Quick Start

Ask your AI to run the ThumbGate feedback capture after the user says thumbs down, for example: thumbs down on the last action with context and what should change.

Frequently Asked Questions about thumbgate-feedback

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn Claude Code feedback into prevention rules for future agent tool calls?

Agent governance prevention rules block specific tool calls based on prior negative outcomes by applying YAML-defined triggers with negative constraints. They load at session start so the agent starts safer, preventing repeated mistakes without manual intervention.

Can I use thumbs up/down feedback to create an audit trail for AI agent sessions?

Yes, explicit thumbs up/down user feedback is captured with context, failure or success details, and tags to create a structured audit trail. This feedback-to-memory capture workflow converts quality signals into lesson-like entries for future reference.

How do I set up YAML triggers to prevent Claude Code agents from repeating failed actions?

Define YAML triggers with negative trigger constraints to specify which actions to block based on captured failure context. The prevention rule auto-generation updates these rules from repeated negative outcomes and their associated context to enforce guardrails.

Does ThumbGate feedback work with Claude Code to load prior session context automatically?

Yes, it applies to agent sessions in tools like Claude Code by pulling prior feedback summaries and prevention rules into the session start context. This ensures the agent starts safer by loading established guardrails before executing new tool calls.

What are the limitations of using feedback-based prevention rules for AI agent governance?

Prevention rules require explicit thumbs down or worked/failed signals to trigger capture, meaning implicit dissatisfaction is ignored. Additionally, rules depend on YAML-defined triggers with negative constraints, so improperly configured constraints may fail to block erroneous tool calls.