Live GPT entrypoint
The public GPT lets users paste proposed actions, risky commands, PR steps, deploys, refunds, and agent plans before running them.
Use the live ThumbGate GPT to preflight risky agent actions, capture typed thumbs-up/down lessons, and route those lessons into local enforcement for Codex, Claude Code, Cursor, Gemini CLI, and MCP-compatible agents.
thumbs down: agent claimed the release was published before checking npm and CI
npx thumbgate init --agent codex
This is the ChatGPT-facing distribution page. It keeps the claim precise: ChatGPT is the discovery, advice, checkpointing, and typed-feedback surface. The hard block still runs in the local agent or CI lane.
The public GPT lets users paste proposed actions, risky commands, PR steps, deploys, refunds, and agent plans before running them.
The OpenAPI schema is publicly served for GPT Actions import and kept in the package so installs do not depend on hidden docs.
ThumbGate still blocks repeated mistakes where work happens: Codex, Claude Code, Cursor, Gemini CLI, Amp, OpenCode, MCP, and CI.
Use the GPT for setup help, action review, and typed feedback. If the direct link does not open, search Explore GPTs for ThumbGate by Igor Ganapolsky.
Use https://thumbgate.ai/openapi.yaml as the Actions schema. API key auth uses a bearer token from the ThumbGate environment.
Run npx thumbgate init or the agent-specific command so lessons can become pre-action checks in the coding session.
thumbs up: or thumbs down: with one concrete sentence so ThumbGate can store a structured lesson.Teams can use ChatGPT as the human-facing review surface while ThumbGate enforces policy in the local or server-side execution lane. That gives buyers a simple story: one GPT for triage, one Codex plugin for coding, one shared lesson/rule store for repeat prevention.
Codex gets the execution-side plugin. ChatGPT gets the review and lesson-capture entrypoint. Together they make ThumbGate visible before the mistake and enforceable when the agent reaches for tools.