Aeon Huggingface Trending
Trending Hugging Face models, datasets, and spaces, filtered by license sanity, dedup...
Install
npx skills add BankrBot/skills --skill aeon-huggingface-trending -g -a claude-code -y- Repository
- BankrBot/skills1.2k
- Category
- Engineering
- Updated
- 5d ago
- License
- See repository
- Context cost
- Lightabout 382 tokens
- Runs scripts
- No, instructions only
What it does
Trending Hugging Face models, datasets, and spaces, filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change, notable author). Surfaces what's actually shifting rather than just popular. Triggers: "trending on HF", "what models are hot", "huggingface trending", "new spaces today", "best new datasets".
aeon-huggingface-trending
Daily filtered scan over HF's three trending surfaces, models, datasets, spaces, cluster-ranked rather than raw-download ranked.
Endpoints
curl -s "https://huggingface.co/api/models?sort=trending&direction=-1&limit=30"
curl -s "https://huggingface.co/api/datasets?sort=trending&direction=-1&limit=30"
curl -s "https://huggingface.co/api/spaces?sort=trending&direction=-1&limit=30"
Filters
- Empty repos, no commits, no model card → drop.
- Same-week quantization of an already-trending model → demoted to "Quantizations" tail.
- Fork without README delta vs upstream → drop.
- Authors with > 5 trending entries in 24h → demoted (typically aggregators).
- License unclear or missing → flagged inline, not dropped.
"Why notable" line
Per surfaced entry, a one-sentence tag: new architecture / size step / context-window jump / notable author affiliation / license change. If no concrete reason exists, the entry says "no clear why, popular but unremarkable" rather than inventing one.
Output
Three sections, Models, Datasets, Spaces, each with the surviving picks, "why notable", license, and download/view count. Tail section for quantizations.
Rules
- "Why notable" is a hard requirement. No reason → no surface.
- License flags appear inline (Apache 2.0, MIT, OpenRAIL-M, custom-no-commercial). Operators trading on model output care.
- Spaces section often beats Models for builder-tier signal, a working demo is stronger validation than a card claim.
