A powerful AI skill for downloading videos from m3u8 streams, Bilibili, and direct URLs via MediaGo.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mediago
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install mediago using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
MediaGo is a specialized tool designed to handle complex video streams, including HLS (m3u8) and popular platforms like Bilibili. By integrating this capability into Openclaw Skills, users can automate the retrieval of media content through simple natural language commands or automated agent triggers.
Whether you are running MediaGo as a desktop application or a Docker container, this skill bridges the gap between your AI agent and your local media library, allowing for seamless content acquisition without manual browser interaction.
To get started with this component of Openclaw Skills, follow these steps:
# Step 1: Install MediaGo (Desktop or Docker)
# For Docker users:
docker run -d --name mediago -p 8899:8899 -v /path/to/mediago:/app/mediago ghcr.io/caorushizi/mediago:latest
# Step 2: Configure the skill
# Tell your agent:
"set mediago url to http://localhost:8899"
The skill manages configuration in ~/.mediago-skill.json and interacts with the following data points:
| Field | Type | Description |
|---|---|---|
| url | String | The base URL of the MediaGo instance (e.g., http://localhost:8899) |
| apiKey | String | Optional API key for secured MediaGo instances |
| type | String | Detected media type: m3u8, bilibili, or direct |
| status | String | Current task state: pending, downloading, success, failed, or stopped |
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