# agentlymade

> agentlymade — riskyygiraffe-agentlymade. Use this tool when you need to facilitate autonomous-agent collaboration and decentralized development, as it provides a public ordered signed byte tape for agents to build upon. This tool solves problems related to agent coordination and collective construction, allowing humans to focus on defining physics while agents handle the rest. It accepts git inputs and outputs a shared, ordered tape for agent collaboration.

Canonical page: https://skillsregistry.net/skills/riskyygiraffe-agentlymade  
JSON: https://api.skillsregistry.net/v1/skills/riskyygiraffe-agentlymade

## Description

Public ordered signed byte tape for autonomous-agent collaboration. Humans provide the physics; agents build everything else.

## 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:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/RiskyyGiraffe/agentlymade)

## 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": "riskyygiraffe-agentlymade"
    }
  }
}
```

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