Discover and load simulation artifacts from S3 storage by run prefix.
npx skills add https://github.com/nebius/nebius-physical-ai --skill find-artifacts
Please help me install this Agent Skill. Skill: find-artifacts Source: https://github.com/nebius/nebius-physical-ai/tree/main/skills/atomic/find-artifacts Command: npx skills add https://github.com/nebius/nebius-physical-ai --skill find-artifacts
This skill solves the challenge of manually searching through complex S3 storage structures to locate, identify, and load specific simulation or training run outputs.
Use the find-artifacts skill to list all available runs and load the report for the most recent experiment.
High-intent search queries and answers about installing and using this skill.
You can discover simulation artifacts in S3 by querying run prefixes to automatically enumerate and group outputs. This locates specific training run files without manually navigating the raw S3 bucket structure.
The best way to load RRD and video artifacts is using a unified interface that retrieves specific keys from S3 storage. This directly loads various formats into your agent environment for visualization.
Yes, loading S3 run artifacts requires authenticated access to S3 artifact buckets. You must also adhere to strict run ID validation protocols to successfully retrieve your simulation and training outputs.
Yes, you can retrieve JSON report logs alongside images and videos from S3 storage. The artifact discovery process provides a universal loading interface for multiple formats including RRD, video, images, and JSON.
Finding run artifacts requires strict run ID validation to ensure accurate querying of S3 prefixes and prevent unauthorized access. This protocol guarantees that only correct and specific artifact keys are loaded into the environment.
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