grounding
infiniV/ultra-ml-internUse before writing, reviewing, or debugging any code that uses a specific ML model (DINOv3, SAM 2, Whisper, Qwen3-Embedding, SigLIP 2…), whenever a…
Scores out of 100 · grade B+
2026-08-19Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score100/100
- no commits in the last 12 weeks
Adopted
20% of the score8/100
- 3 stars on the source repo.
Documented
15% of the score91/100
- 933 words with worked examples.
- Ships 2 bundled files.
Install
npx skills add infiniV/ultra-ml-intern/groundingWhat it says it does
Use before writing, reviewing, or debugging any code that uses a specific ML model (DINOv3, SAM 2, Whisper, Qwen3-Embedding, SigLIP 2…), whenever a model-provenance archive for it exists locally. Loads that archive's real source — checkpoint ids, API signatures, preprocessing constants, training recipe — so the code is written from the model's actual code instead of training-time recall, then mechanically checks the result. Triggers include "load DINOv3 and extract features", "fine-tune SAM 2 on my data", "why does this checkpoint 404", "review this inference script", or any coding task naming a model that has been harvested.
Also in infiniV/ultra-ml-intern
| Artifact | Score | What the check found | Type | Reach | Last commit |
|---|---|---|---|---|---|
| model-provenanceinfiniV/ultra-ml-intern | clean | Skill | 3 stars | yesterday | |
| open-probleminfiniV/ultra-ml-intern | clean | Skill | 3 stars | yesterday | |
| ml-interninfiniV/ultra-ml-intern | clean | Skill | 3 stars | yesterday | |
| ml-paper-researcherinfiniV/ultra-ml-intern | clean | Subagent | 3 stars | yesterday | |
| ml-paper-readerinfiniV/ultra-ml-intern | clean | Subagent | 3 stars | yesterday | |
| training-job-architectinfiniV/ultra-ml-intern | clean | Subagent | 3 stars | 24 days ago |
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