# dev.forgesworn/bray

> Use this tool when you need to integrate trust-aware Nostr functionality into AI agents, enabling them to manage social interactions, direct messages, zaps, trust, and identity across 235 tools. It solves problems related to secure and reliable communication, identity verification, and trust management in AI systems. By providing a comprehensive interface for inputs such as user data and outputs like verified identities and trust scores, it facilitates informed decision-making in various contexts.

Canonical page: https://skillsregistry.net/skills/dev-forgesworn-bray  
JSON: https://api.skillsregistry.net/v1/skills/dev-forgesworn-bray

## Description

Trust-aware Nostr for AI agents -- 235 tools covering social, DMs, zaps, trust, and identity

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.27.7
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.forgesworn%2Fbray)
- **Repository:** <https://github.com/forgesworn/bray>

## 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": "dev-forgesworn-bray"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev-forgesworn-bray` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev-forgesworn-bray/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