model-cardslisted
Install: claude install-skill Habitat-Thinking/ai-literacy-superpowers
# Mitchell-Extended Model Cards
This plugin produces 10-section model cards: Mitchell et al.'s 9 canonical
sections plus an "Operational Details" 10th section for the consumer-evaluator
audience. This skill is the reference for what each section is for and how
to fill it honestly.
## The ten sections
### 1. Model Details
What the model IS — name, provider, family, release date, parameter count
where disclosed. Tier 1 (provider docs) is primary; tier 2 (HuggingFace) is
secondary for open-source / fine-tuned models.
### 2. Intended Use
What the model is for — primary uses, intended users, explicitly out-of-scope
uses. The provider's documentation usually makes this explicit; quote it
faithfully and cite.
### 3. Factors
Subgroups, environmental factors, instrumentation. Often sparse for
proprietary API-served models — write "Not publicly available" rather than
fabricate.
### 4. Metrics
Performance measures the provider reports. Distinguish provider-reported
benchmarks from independent evaluations (tier 1 vs tier 4).
### 5. Evaluation Data
Datasets used to evaluate. Frequently "Not publicly available" for
proprietary models. Tier 3 (release paper) is the most likely source.
### 6. Training Data
Datasets used to train. Almost always "Not publicly available" for proprietary
models — say so. Tier 3 is the only source likely to disclose.
### 7. Quantitative Analyses
Disaggregated performance — by demographic, by task category, by language.
Tier 3 (release paper) is pr