An automated media discovery tool that scrapes and extracts public cloud drive links for movies, TV shows, and anime.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install films-search
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 films-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Films Search is a specialized technical module designed for the Openclaw Skills ecosystem to streamline the discovery of multimedia resources. It performs real-time web crawling and deep page parsing to find publicly shared links from major platforms like Quark, Baidu, Aliyun, and UC drives.
By leveraging advanced scraping techniques through cloudscraper and integrating with web-search capabilities, it goes beyond surface-level search engine results. This skill allows AI agents to act as personalized media researchers, delivering direct download or streaming links along with metadata like video quality and extraction codes.
Ensure you have the web-search skill installed and Python 3 available on your system. To use Films Search within your Openclaw Skills environment, use the following commands:
# Basic search for a movie
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" search "Interstellar"
# Search with specific filters for Quark drive and 4K quality
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" search "Interstellar" --pan quark --quality 4k
The skill returns a structured JSON response to maintain compatibility across the Openclaw Skills framework:
| Field | Description | Possible Values |
|---|---|---|
pan |
The cloud drive provider | quark, baidu, aliyun, uc, magnet |
quality |
Detected video resolution | 4K, 1080P, 720P |
url |
Direct access link | Standard URL string |
extractCode |
Access password/code | String (if detected) |
source |
Extraction method used | deep-search, web-search |
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