thumbgate - SKILL.md Agent Skill

name: thumbgate description: Stop your AI from making the same mistake twice. Pre-Action Gates that block repeat hallucinations, retry loops, and known-bad tool calls before they reach the model — zero tokens spent on mistakes you've already corrected. Works with Claude Code, Cursor, Codex, Gemini CLI, Amp, OpenCode, and any MCP-compatible agent. homepage: https://thumbgate-production.up.railway.app metadata: {"clawdbot":{"emoji":"🧰","requires":{"bins":["thumbgate"]},"install":[{"id":"npm","kind":"npm","module":"thumbgate","bins":["thumbgate"],"label":"Install ThumbGate (npm)"}]}}

ThumbGate — Pre-Action Gates for AI Agents

Stop your AI from making the same mistake twice.

Repeated AI mistakes cost real money in tokens. Thumbs-down once — ThumbGate blocks that exact pattern on every future call, across every agent you use.

npm: thumbgate
Dashboard: https://thumbgate-production.up.railway.app/dashboard
Repo: https://github.com/IgorGanapolsky/ThumbGate (MIT)

Quick Start

npx thumbgate init

Bootstraps .thumbgate/ and wires PreToolUse hooks into your agent. Works out-of-the-box with Claude Code, Cursor, Codex, Gemini CLI, Amp, OpenCode, and any MCP-compatible agent.

Core Commands

thumbgate capture "Never run --force push to main"   # create a rule
thumbgate gates list                                  # see active gates
thumbgate feedback down "agent ignored file paths"    # capture a thumbs-down
thumbgate lessons search "DROP TABLE"                 # recall prior lessons
thumbgate dashboard                                    # open the local dashboard

What ThumbGate Does

Capture — every thumbs-down on a bad agent action becomes a structured lesson.
Distill — lessons merge into prevention rules via history-aware synthesis.
Enforce — PreToolUse hooks physically block matching tool calls before the model is invoked. Zero tokens spent on the repeat.
Measure — live "tokens saved" counter in the dashboard puts a dollar number on every block.

When to Use This Skill

The agent keeps hallucinating the same wrong import, wrong file path, or wrong command.
You want destructive operations (DROP TABLE, git push --force, etc.) blocked at the tool-call layer, not the prompt layer.
You need an audit trail of what the agent tried to do and was prevented from doing for compliance / review.
You want DPO-ready preference pairs exported from your real feedback for fine-tuning.

Pricing

Free CLI — 3 captures/day, 1 rule, 1 agent. MIT open source.
Pro ($19/mo or $149/yr) — unlimited captures + rules, personal local dashboard, DPO export.
Team ($49/seat/mo) — shared hosted lesson DB, org dashboard, workflow governance.

Dashboard + live tokens-saved counter: https://thumbgate-production.up.railway.app/dashboard