Use when the user names a specific ML model (e.g. DINOv3, SAM 2, Whisper, Qwen2-VL) and wants its real/official code, training recipe, or papers found, verified, or archived locally for grounded coding. Triggers include "find the real code for this model", "harvest DINOv3", "store the model's code and papers locally", "archive the training/inference code", "set up a local source-of-truth / reference archive for a model", or any request that future coding against a model be grounded in its actual source instead of training-time memory.
How to install model-provenance?
infiniv/ultra-ml-intern/model-provenance
$npx -y skills add infiniv/ultra-ml-intern --skill model-provenanceInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/infiniv/ultra-ml-intern" --skill "infiniv/ultra-ml-intern/model-provenance"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/infiniv/ultra-ml-intern" that are relevant to the current task. Run `npx skills add "https://github.com/infiniv/ultra-ml-intern"` and select the relevant skills, then follow their instructions.
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