# Mycelium

> Mycelium — dihannahdi-mycelium. Use this tool when you need to quickly triage and resolve data incidents, such as quality and freshness issues. Mycelium analyzes data using DataHub, computing severity and impact to generate informative prose for swift resolution. It's ideal for on-call agents and data teams requiring automated incident management and clear communication.

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

## Description

An on-call agent for data incidents, built on a bio-inspired context protocol. It triages data quality and freshness issues using DataHub, computing severity, blast radius, and ownership from the catalogue before generating prose.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvvtcpzolq)
- **Repository:** <https://github.com/dihannahdi/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": "dihannahdi-mycelium"
    }
  }
}
```

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