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Install in OpenClaw
/install screen-recommendation-loop
Description
Build and run a low-friction movie/anime recommendation + follow-up loop. Use when a user wants long-term taste profiling from watched/unfinished/dropped fee...
Usage Guidance
This instruction-only skill is coherent and lightweight, but before installing consider: where will you store the JSON/SQLite state (ensure appropriate access controls/backups)? If you or an implementer add fetching from Douban/Bangumi or other external sources, review what network access and API credentials are needed and whether scraping is allowed. Also confirm the agent/platform's scheduling and message-sending behavior so follow-ups behave as you expect and no private identifiers (chat IDs, account tokens) are recorded by the skill.
Capability Analysis
Type: OpenClaw Skill
Name: screen-recommendation-loop
Version: 0.0.1
The skill bundle defines a logic-based recommendation engine for movies and anime using public lists like Douban and Bangumi. The instructions in SKILL.md are focused entirely on the recommendation workflow, scheduling follow-ups, and updating user preferences, with no evidence of malicious intent, data exfiltration, or unauthorized command execution. Furthermore, the documentation includes explicit safety guidelines advising the agent not to store private identifiers or sensitive data.
Capability Assessment
Purpose & Capability
Name and description match the SKILL.md: the document describes a low-friction recommendation loop, candidate pools, follow-up timing, a small record schema, and update heuristics. It does not request unrelated credentials, binaries, or install actions.
Instruction Scope
Instructions remain focused on recommendation/polling and local state (JSON/SQLite). They assume the agent/platform can send messages and schedule follow-ups; the SKILL.md does not prescribe network access or APIs, but it references external candidate pools (Douban/Bangumi) without specifying how to fetch them. If an implementation adds scraping/API calls, that expands scope and may require credentials or further privacy review.
Install Mechanism
There is no install spec or code; this instruction-only skill writes nothing to disk by itself. That minimizes install-time risk.
Credentials
The skill declares no environment variables, credentials, or config paths. Its data storage suggestion (JSON or SQLite) is proportionate to the stated purpose. Be aware that a concrete implementation that pulls from external services may later require API keys.
Persistence & Privilege
always is false and autonomous invocation is not disabled (the platform default). The skill does not request permanent platform-level presence or access to other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install screen-recommendation-loop - After installation, invoke the skill by name or use
/screen-recommendation-loop - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.1
- Initial release of screen-recommendation-loop skill.
- Supports one-at-a-time movie/anime recommendations with feedback loops.
- Integrates mixed-source candidate pools (e.g., Douban/Bangumi Top lists).
- Adapts future picks using preference signals and constrained randomness.
- Automatic, type-based follow-up timing and minimal feedback schema.
- Emphasizes user privacy and does not store personal identifiers.
Metadata
Frequently Asked Questions
What is Screen recommendation loop?
Build and run a low-friction movie/anime recommendation + follow-up loop. Use when a user wants long-term taste profiling from watched/unfinished/dropped fee... It is an AI Agent Skill for Claude Code / OpenClaw, with 242 downloads so far.
How do I install Screen recommendation loop?
Run "/install screen-recommendation-loop" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Screen recommendation loop free?
Yes, Screen recommendation loop is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Screen recommendation loop support?
Screen recommendation loop is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Screen recommendation loop?
It is built and maintained by GloryXia (@gloryxia); the current version is v0.0.1.
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