# ebony-enriching

> ebony-enriching — parkviewlab-ebony-enriching. Use this tool when you need to manage and track research progress, organize experiments, and identify knowledge gaps. It provides a lab notebook interface to store and retrieve proposals, experiments, and gap signals, utilizing filesystem storage with append-only semantics. Ideal for researchers and scientists seeking to streamline their workflow and maintain a reliable record of their work.

Canonical page: https://skillsregistry.net/skills/parkviewlab-ebony-enriching  
JSON: https://api.skillsregistry.net/v1/skills/parkviewlab-ebony-enriching

## Description

Enables managing research-in-flight as a lab notebook with proposals, experiments, and gap signals, using filesystem storage and append-only semantics.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-07-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fxecc52s59)
- **Repository:** <https://github.com/ParkviewLab/ebony-enriching>

## 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": "parkviewlab-ebony-enriching"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/parkviewlab-ebony-enriching` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/parkviewlab-ebony-enriching/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