# observer

> observer — superbasedapp-observer. Use this tool when you need to manage and control AI coding agents locally, without telemetry, to launch and track sessions across multiple platforms like Claude Code, Codex, and Gemini CLI. It provides a centralized interface to run, monitor, and control sessions, as well as track files, tokens, and costs. Ideal for developers who require a secure, private, and efficient way to work with AI coding agents.

Canonical page: https://skillsregistry.net/skills/superbasedapp-observer  
JSON: https://api.skillsregistry.net/v1/skills/superbasedapp-observer

## Description

Local-first control plane for AI coding agents — launch browser terminals, run and remotely control sessions, and track files, tokens & cost across Claude Code, Codex, Cursor, Gemini CLI and 20+ more. 100% local, no telemetry.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/superbasedapp/observer)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "superbasedapp-observer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/superbasedapp-observer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/superbasedapp-observer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt