IgorGanapolsky

thumbgate

ThumbGate provides pre-action gates for AI coding agents. It captures thumbs-up/down feedback on agent actions, auto-promotes repeated failures into prevention rules, and blocks known-bad tool calls via PreToolUse hooks. Trigger when the user wants to add safety guardrails to an AI agent workflow, capture structured feedback on agent output, generate prevention rules from failure patterns, gate high-risk actions before execution, or export DPO training pairs from production feedback. Works with any MCP-compatible agent including Cursor, Codex, Gemini CLI, Amp, and OpenCode.

IgorGanapolsky 21 7 Updated 1mo ago
GitHub

Install

npx skillscat add igorganapolsky/thumbgate

Install via the SkillsCat registry.

SKILL.md

ThumbGate

Pre-action gates that stop AI coding agents from repeating known mistakes.

Quick Start

npx thumbgate init

This installs the MCP server and wires it into your agent's tool configuration. No API keys required for the free tier.

Or install globally:

npm install -g thumbgate
thumbgate init

MCP Configuration

Add to your agent's MCP config (e.g., claude_desktop_config.json or .cursor/mcp.json):

{
  "mcpServers": {
    "thumbgate": {
      "command": "npx",
      "args": ["-y", "thumbgate"]
    }
  }
}

How It Works

Feedback Capture

When an agent action succeeds or fails, capture structured feedback:

  • Thumbs up: Records what worked, tags it, and stores it as a reusable pattern.
  • Thumbs down: Records the failure context, what went wrong, and what to change. Repeated failures auto-promote into prevention rules.

Prevention Rules

After a failure pattern repeats (default: 2 occurrences), ThumbGate auto-generates a prevention rule. These rules are injected into agent context before every tool call, blocking the known-bad pattern before it executes.

Pre-Action Gates

Gates intercept tool calls via the MCP PreToolUse hook. Each gate checks the proposed action against:

  1. Prevention rules generated from past failures
  2. Thompson Sampling confidence scores (adaptive sensitivity)
  3. LanceDB vector similarity to known-bad patterns

If a match is found, the gate blocks execution and surfaces the prior failure context.

Context Packs

Bounded retrieval of relevant feedback history for the current task. The agent gets exactly the lessons that matter, not the entire history.

MCP Tools Provided

Tool Description
capture_feedback Record thumbs-up/down with structured context
search_lessons Query the lesson DB by keyword or semantic similarity
get_prevention_rules Retrieve active prevention rules for the current context
session_primer Get session handoff context (last task, next step, blockers)
export_dpo Export feedback pairs in DPO training format

Tiers

Free Pro Team
Feedback capture 3/day Unlimited Unlimited
Lesson search 5/day Unlimited Unlimited
Active gates 5 Unlimited Unlimited
Dashboard - Yes Yes
DPO export - Yes Yes
Seats 1 1 Per-seat
Price $0 $19/mo or $149/yr $99/seat/mo

Start a 7-day free trial of Pro: https://thumbgate-production.up.railway.app/pro?utm_source=skill&utm_medium=agent_context&utm_campaign=pro_page

Compatibility

ThumbGate works with any MCP-compatible agent:

  • Cursor
  • Codex
  • Gemini CLI
  • Amp
  • OpenCode
  • Any agent supporting the Model Context Protocol

Links

Categories

CLI Tools Embeddings
GitHub

Install

npx skillscat add igorganapolsky/thumbgate

Install via the SkillsCat registry.

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