# agentclip-python

> Use this tool when you need to easily share and reproduce AI agent runs with others, solving collaboration and reproducibility problems by turning complex experiments into simple, shareable URLs. It takes in AI agent run data and outputs a unique URL, providing a seamless interface for users to share and access experiments. Ideal for use cases where reproducibility and collaboration are crucial, such as in machine learning research and development.

Canonical page: https://skillsregistry.net/skills/ericelizes1-agentclip-python  
JSON: https://api.skillsregistry.net/v1/skills/ericelizes1-agentclip-python

## Description

Python SDK + CLI + MCP server for AgentClip — the open-source tool that turns AI agent runs into shareable URLs.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/ericelizes1/agentclip-python)

## 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": "ericelizes1-agentclip-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ericelizes1-agentclip-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ericelizes1-agentclip-python/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