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fischerlam

Video Recommendation

by fischerlam · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
221
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1
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Install in OpenClaw
/install video-recommendation
Description
Recommend precise, context-aware videos with direct links and curated watchlists based on your current mood, project, or recent chat topics.
Usage Guidance
This skill appears coherent and limited in scope: it uses chat context/memory for personalization and includes a tiny browser snippet to extract YouTube watch links (safe for browser-console use). Before installing, decide whether you’re comfortable with the agent using your recent chat history or stored taste memory for personalization, and be cautious about any future edits that add automated browser automation that navigates arbitrary pages — run the provided script only in trusted pages (it simply reads anchors and prints JSON). If you need stronger guarantees, request that the skill refuses to access memory or to perform browser automation without explicit user consent.
Capability Analysis
Type: OpenClaw Skill Name: video-recommendation Version: 0.1.0 The video-recommendation skill is a well-documented tool designed to provide curated video suggestions based on user context and chat history. It includes a simple JavaScript utility (scripts/extract_youtube_links.js) for extracting video titles and URLs from the DOM, which is consistent with its stated purpose. The extensive documentation in the references/ directory provides clear, non-malicious guidance for the AI agent to prioritize high-quality content over algorithmic feeds, with no evidence of data exfiltration, unauthorized execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name and description match the actual files and instructions: a contextual video recommender that prefers exact watch links. The included helper script is a small browser DOM extractor for YouTube link collection, which is proportionate to the stated purpose.
Instruction Scope
SKILL.md confines runtime behavior to inferring intent from recent chat/memory, selecting angles, searching public video sources, ranking, and returning direct links with short rationales. It does suggest using browser automation when other tools are blocked; that is a reasonable fallback for harvesting exact URLs but should be limited to the pages the agent legitimately needs to read.
Install Mechanism
No install spec and only one small script (browser DOM snippet) are present. Nothing is downloaded from external URLs or extracted to disk, so installation risk is minimal.
Credentials
The skill requires no environment variables, credentials, or config paths. References to using 'memory' and chat context are expected for personalization and are proportionate to the feature set.
Persistence & Privilege
The skill is not forced-always; it is user-invocable and allows normal autonomous invocation. It does not request persistent system privileges or to modify other skills' configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-recommendation
  3. After installation, invoke the skill by name or use /video-recommendation
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release: a context-aware, taste-driven video recommendation skill that recommends videos with precision, not addiction. Includes direct-link workflows, source curation, testing, and quality calibration.
Metadata
Slug video-recommendation
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Recommendation?

Recommend precise, context-aware videos with direct links and curated watchlists based on your current mood, project, or recent chat topics. It is an AI Agent Skill for Claude Code / OpenClaw, with 221 downloads so far.

How do I install Video Recommendation?

Run "/install video-recommendation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Video Recommendation free?

Yes, Video Recommendation is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Video Recommendation support?

Video Recommendation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video Recommendation?

It is built and maintained by fischerlam (@fischerlam); the current version is v0.1.0.

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