tao-finetune-cosmos-embed
by community
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Description
# Cosmos-Embed Cosmos-Embed1 is a joint video-text embedder for text-to-video retrieval, video-to-video search, zero-shot/kNN classification, and semantic deduplication. The packaged CLI is `cosmos-embed1` and supports `train`, `evaluate`, `inference`, and `export`. Container image and per-action commands are in `references/skill_info.yaml`. Compact starting specs are in `references/spec_template_*.yaml`. ## Train Action Policy AutoML is not packaged for this model skill because there are no Cosmos-Embed sc
Install tao-finetune-cosmos-embed
Run this in your OpenClaw agent to add tao-finetune-cosmos-embed from the ClawHub registry.
openclaw skills install tao-finetune-cosmos-embedRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
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Frequently asked questions
Is tao-finetune-cosmos-embed safe to install?
tao-finetune-cosmos-embed has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does tao-finetune-cosmos-embed cost?
tao-finetune-cosmos-embed is free to install for OpenClaw via ClawHub.
What are the best alternatives to tao-finetune-cosmos-embed?
You can compare tao-finetune-cosmos-embed side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install tao-finetune-cosmos-embed?
Install tao-finetune-cosmos-embed from ClawHub at clawhub.ai/skills/tao-finetune-cosmos-embed, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
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