Model Metadata Updates
Records model knowledge cutoffs, families and generations during onboarding and backfills.
Install
npx skills add lobehub/lobehub --skill model-bank-metadata -g -a claude-code -y- Repository
- lobehub/lobehub83.7k
- Category
- Data and ML
- Updated
- 3d ago
- License
- See repository
- Context cost
- Mediumabout 1,914 tokens
- Runs scripts
- Yes, review before use
What it does
Use for model knowledgeCutoff, family and generation metadata: onboarding, corrections, research and bulk backfills.
Model-Bank Metadata (knowledgeCutoff / family / generation)
How to populate and maintain the three structured metadata fields on packages/model-bank/src/aiModels/*.ts model cards, at single-model scale (new model PR) or repo-wide scale (sweep across ~80 provider files / ~1900 entries).
Field semantics
| Field | Format | Meaning |
|---|---|---|
knowledgeCutoff | 'YYYY-MM' (or 'YYYY' if only the year is published) | World-knowledge cutoff. When a vendor distinguishes a "reliable knowledge cutoff" from the broader training-data cutoff (Anthropic does), always use the reliable one. |
family | lowercase slug (claude, gpt, o-series, qwen, deepseek, llama, glm, …) | Model lineage, finer than organization. Lets the UI group models and match the same model across aggregator providers. |
generation | family slug + version (claude-4.6, gpt-5.2, qwen3.5, llama-3.1) | Generation within the family. Only set when confidently derivable from the model line's naming. Rolling aliases (qwen-max, deepseek-chat, gemini-flash-latest) get family only. |
All three are optional. The cardinal rule: only fill what an authoritative source states or naming rules derive, never guess. An empty field is correct for vendors that publish nothing.
