# seed

> seed — fissible-seed. Use this tool when you need to generate fake data for testing or development purposes, and want a bash-first approach with integration to MCP servers for Claude Code. It solves problems of data scarcity and privacy concerns by providing a reliable source of synthetic data. Input your requirements and output high-quality fake data through its intuitive interface, ideal for use cases where real data is limited or sensitive.

Canonical page: https://skillsregistry.net/skills/fissible-seed  
JSON: https://api.skillsregistry.net/v1/skills/fissible-seed

## Description

Fake data for the rest of us — bash-first generator with MCP server for Claude Code

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fissible/seed)

## 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": "fissible-seed"
    }
  }
}
```

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