# deed

> deed — zig-nostr-deed. Use this tool when you need to efficiently interact with Nostr using a lightweight command-line interface, ideal for AI agents and humans seeking fast and compact nostr operations, accepting git inputs and producing streamlined outputs. It solves problems of slow and bulky nostr interactions, providing a seamless experience for users. Use deed in contexts where speed and minimalism are crucial, such as automated workflows or resource-constrained environments.

Canonical page: https://skillsregistry.net/skills/zig-nostr-deed  
JSON: https://api.skillsregistry.net/v1/skills/zig-nostr-deed

## Description

fastest and smallest nostr command line, built for AI agents and humans.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-10-11

## Source

- **Source listing:** [GitHub](https://github.com/zig-nostr/deed)

## 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": "zig-nostr-deed"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zig-nostr-deed` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zig-nostr-deed/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