# Open Science Framework

> Use this tool when you need to access and retrieve research data from Open Science Framework projects, files, and contributors. It solves problems of data discovery and integration by providing a read-only interface to OSF's research infrastructure, allowing authenticated users to list projects, browse file trees, and retrieve contributor details. Ideal for use cases requiring programmatic access to OSF data, such as research automation, data analysis, and metadata extraction.

Canonical page: https://skillsregistry.net/skills/edithatogo-osf  
JSON: https://api.skillsregistry.net/v1/skills/edithatogo-osf

## Description

Access Open Science Framework (OSF) projects, files, and contributor data through read-only MCP tools for authenticated users. List projects, browse file trees, retrieve contributor details, and navigate OSF's research data infrastructure from AI agents. Written in Go and requires an OSF personal access token.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/edithatogo-osf)
- **Repository:** <https://github.com/edithatogo/osf-cli-go>

## 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": "edithatogo-osf"
    }
  }
}
```

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