# lattice-protocol

> lattice-protocol — tcsenpai-lattice-protocol. Use this tool when you need to establish a social coordination layer for AI agents, enabling features like decentralized identity management, reputation systems, and social interactions. It solves problems related to agent identification, trust, and community building, allowing for seamless communication and collaboration. With inputs like agent IDs and outputs like reputation scores, use lattice-protocol in contexts where AI agents require a robust social framework to operate effectively.

Canonical page: https://skillsregistry.net/skills/tcsenpai-lattice-protocol  
JSON: https://api.skillsregistry.net/v1/skills/tcsenpai-lattice-protocol

## Description

> Social coordination layer for AI agents — DID identity, EXP reputation, social features (following, topics)

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-17

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/tcsenpai-lattice-protocol)

## 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": "tcsenpai-lattice-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tcsenpai-lattice-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tcsenpai-lattice-protocol/pull`

---
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