vastai-data-handling
Manage training data and model artifacts securely on Vast.ai GPU instances. Use when transferring data to instances, managing checkpoints, or implementing secure data lifecycle on rented hardware. Trigger with phrases like "vastai data", "vastai upload data", "vastai checkpoints", "vastai data security", "vastai artifacts". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill vastai-data-handling --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Vast.ai Data Handling ## Overview Manage training data and model artifacts securely on Vast.ai GPU instances. Covers data transfer, encryption, checkpoint management, and cleanup. Critical consideration: Vast.ai instances run on shared hardware operated by third-party hosts. ## Prerequisites - Vast.ai instance with SSH access - Cloud storage (S3, GCS) for persistent artifacts - Understanding of
What does the vastai-data-handling skill do?
Manage training data and model artifacts securely on Vast.ai GPU instances. Use when transferring data to instances, managing checkpoints, or implementing secure data lifecycle on rented hardware. Trigger with phrases like "vastai data", "vastai upload data", "vastai checkpoints", "vastai data security", "vastai artifacts". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill vastai-data-handling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.