Data Ocean Statusline
Dive deep into an ocean of code. Track depth based on file count, encounter different sea creatures, and occasionally discover treasure while surfing the data waves. Displays: Random wave patterns (π ocean, π whirlpool, π§ droplet, β‘ electric, π₯ fire), Depth in meters (file count * 10 for .py/.js/.rs files), Sea creatures (π whale >100m, π fish 50-100m, π small fish <50m), Rare treasure (π diamond 5% chance per interaction).
npx claude-code-templates@latest --setting statusline/data-ocean-statusline Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) Β· v2.12.0 Β· 2026-10-17
SkillSpector looks for patterns such as shell commands, credential access, network calls or unpinned dependencies. An observation is something worth reading in the files before you install, not a confirmed vulnerability. Components that run code locally, like hooks, MCP servers and security tooling, naturally show more of them.
No observations.
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