Conciseness

The body is lean and code-dense, but a few spots could be trimmed: the hand-off to 'loading-openmed-models' is stated twice (once in 'When to use', again in 'Hand-off to / from OpenMed'), and the 'When to use' section largely restates the frontmatter description. This fits the 4-anchor ('minor instances of over-explanation that could be trimmed') better than the 5-anchor, where every token earns its place.

Actionability

All eight code blocks are executable and copy-paste ready with expected outputs shown ('['Medical', 'Privacy', ...]', 'print(default_es) # HF repo id, or None if unsupported'), covering the common paths: category browsing, model inspection, PII-by-language, structured ModelQuery search, suggestions, and CLI. This matches the 5-anchor ('fully executable; copy-paste ready code or commands; specific examples cover the common cases'), not the 4-anchor which expects gaps.

Workflow Clarity

A clear selection flow exists — 'Never hardcode a model list... query the registry at runtime', browse categories, inspect via 'entity_types' / 'recommended_confidence', verify labels 'before committing', and hand off — with error-recovery guidance ('get_default_pii_model(lang) can return None... fall back... and warn'). It is not a 5 because the sequence is distributed across sections rather than one coherent ordered workflow, leaving minor gaps in explicit sequencing (4-anchor: 'Clear sequence with most checkpoints present').

Progressive Disclosure

Sections are well-organized and clearly labeled, but the skill is a single ~190-line file with no bundle files: API reference material such as the full ModelInfo attribute table, the ModelSearchResult field list, and the CLI reference is inlined where a references/ file could carry it. That fits the 4-anchor ('Good structure; most content is appropriately placed; minor organization gaps') rather than the 5-anchor ('content appropriately split'), since the body exceeds the under-50-lines exception for single-file skills.

Specificity

The description enumerates multiple concrete actions — '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' — plus the specific APIs ('list_model_categories, get_models_by_category, get_pii_models_by_language, ... get_model_info, and the openmed models CLI'). Coverage is comprehensive, matching the 5-anchor ('Extract text and tables from PDF files, fill forms, merge documents'), not the 4-anchor which expects 'minor gaps in coverage'.

Completeness

It explicitly answers 'what' ('Discover and pick the right OpenMed model for a clinical or biomedical task... Covers list_model_categories, ... and the openmed models CLI') and 'when' via a concrete 'Use when the user asks...' clause with specific trigger scenarios — the exact shape of the 5-anchor example. It is not the 4-anchor case since the 'when' clause is fully explicit rather than improvable.

Trigger Term Quality

Trigger phrases are natural user utterances: 'which OpenMed model to use', 'list model categories', 'PII model for a specific language', 'search models by size or task', 'inspect a model's labels and metadata', with synonyms ('Disease vs Oncology vs Privacy/PII', 'domain, or language'). This is comprehensive coverage including variations, matching the 5-anchor rather than the 4-anchor ('a few natural terms missing').

Distinctiveness Conflict Risk

A clear niche — OpenMed model discovery/selection — with distinct triggers ('which OpenMed model to use', 'list model categories') and explicit boundary management ('Pairs with loading-openmed-models', i.e. this skill selects, that one loads). Overlap risk with adjacent skills is minimal, fitting the 5-anchor; the 4-anchor's 'minor overlap risk with closely related skills' is slightly less accurate given the explicit pairing note.