# mycelium

> mycelium — hiatamaworkshop-mycelium. Use this tool when you need to assess the quality of knowledge in complex ecosystems, as it provides a bio-inspired semantic filtering engine to simulate and evaluate information. It solves problems related to information overload and knowledge validation, helping to identify high-quality data. Inputting datasets and knowledge graphs, mycelium outputs filtered and assessed information, ideal for use cases involving data curation and validation in contexts like research, data science, and software development, such as git-based projects.

Canonical page: https://skillsregistry.net/skills/hiatamaworkshop-mycelium  
JSON: https://api.skillsregistry.net/v1/skills/hiatamaworkshop-mycelium

## Description

Bio-inspired semantic filtering engine. Ecosystem simulation for knowledge quality assessment.

## Trust

- **Trust score (0–1):** 0.90
- **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/hiatamaworkshop/mycelium)

## 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": "hiatamaworkshop-mycelium"
    }
  }
}
```

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