# scio

> scio — tony-zhelonkin-scio. Use this tool when you need to manage and track changes in scientific workflows, ensuring reproducibility and version control. It solves problems related to collaboration, data integrity, and experiment tracking, providing a git-based interface for inputting and outputting workflow configurations. Ideal for researchers and scientists requiring transparent and reliable workflow management.

Canonical page: https://skillsregistry.net/skills/tony-zhelonkin-scio  
JSON: https://api.skillsregistry.net/v1/skills/tony-zhelonkin-scio

## Description

My exploration and playground in reproducible scientific skills that would fit my general workflows

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **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/tony-zhelonkin/scio)

## 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": "tony-zhelonkin-scio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tony-zhelonkin-scio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tony-zhelonkin-scio/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