Amp Supervision

Supervise Amp with a context-rich agent. The supervisor carries requirements and scoped decisions; Amp implements and verifies in its original thread; the human retains consequential approvals. Claude Desktop is the worked example, not a required supervisor model.

Pre-release starter kit. Linux and Windows/WSL2 are first-release targets, not completed fresh-install acceptance claims. See the platform/evidence matrix. This is an unofficial integration, not an Amp or Anthropic/OpenAI product.

What is here

• A Bun/TypeScript stdio MCP bridge: amp_spawn, amp_read, amp_send, amp_list.

• A portable supervisor skill, complete with setup, task template, protocol/recovery and acceptance references. No issue tracker required.

• Tests with fake Amp processes, a .skill packager, and an explicitly opt-in live probe.

The bridge is Amp-specific: it uses Amp CLI dispatch and exports. The supervision contract is reusable. Other clients must support the right transport and skill-loading behavior; ChatGPT web cannot directly launch this local stdio server. No HTTP gateway is included.

Related MCP server: otaman-bus-server

Start with reviewed code

Requires Bun 1.3.14+, Git and an authenticated Amp CLI. From a reviewed checkout:

bun install --frozen-lockfile
bun run check
bun run build:skill

Then follow platform setup and install dist/amp-supervision.skill into a compatible supervisor client. The archive contains instructions and all references; install/configure the bridge separately. The archive is generated from source, never edited independently. No npm or versioned release is published by these commands.

Safety and limits

This bridge can read private threads and dispatch work with your account permissions. Install only reviewed code in a trusted client. It is not a sandbox, a remote-thread lock, a scheduler, or an emergency-stop mechanism. Original-thread and decision-recording rules are prompts; tests of their construction do not prove agent obedience.

Accepted is not completed. Never blindly retry a spawn or send. Preserve one shared request journal and one supervisor writer per thread. Read protocol and recovery before dispatch. Follow safe acceptance with explicit approval and disposable data; live runs consume inference. Human fresh-install acceptance and a reviewed release remain separate from unit/CI checks.

This repository is the maintained source for both bridge and skill. Existing installations must use an approved cutover; a pull does not update a running bridge or an uploaded skill. License: MIT. Third-party dependencies retain their own licenses; no runtime dependencies or private transcripts are bundled into the skill archive.