# uldl

> Use this tool when you need to securely share and manage files across sessions with AI agents, solving problems of data persistence and collaboration. It provides a command-line interface for uploading, downloading, listing, and deleting files, with inputs including file data and metadata, and outputs including encrypted file storage and memorable URLs. Ideal for use cases requiring secure file sharing and version control, with AES-256-GCM encryption and metadata tagging for organization and tracking.

Canonical page: https://skillsregistry.net/skills/uldl  
JSON: https://api.skillsregistry.net/v1/skills/uldl

## Description

CLI-first file sharing service with MCP integration for AI agents. Provides persistent storage with AES-256-GCM encryption, memorable slug-based URLs, version history, and metadata tagging. Agents can upload, download, list, and delete files across sessions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/uldl)

## 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": "uldl"
    }
  }
}
```

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