Discover and pick the right OpenMed model for a clinical or biomedical task, domain, or language. Use when the user asks which OpenMed model to use, wants to list model categories, find a Disease vs Oncology vs Privacy/PII model, get a PII model for a specific language, search models by size or task, or inspect a model's labels and metadata before loading. Covers list_model_categories, get_models_by_category, get_pii_models_by_language, get_default_pii_model, search_models(ModelQuery(...)), get_model_info, and the openmed models CLI. Pairs with loading-openmed-models.
76
95%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow can call `openmed.get_model_suggestions(text)` with outsider-authored free-form text, which is then used to generate a model suggestion (and thus is fed into the agent/skill’s LLM context at runtime); additionally, model selection is driven by registry/HF-derived text returned via `ModelInfo`/reasons that may include untrusted content.
80da98c
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.