Conciseness

The body is efficient — a dense endpoint table, executable quick start, terse workflow and gotchas — but the opening paragraph and "When to use" section largely restate the frontmatter description, and "Brand vs generic" explains near-common knowledge. These are minor trim candidates, matching the anchor 'Efficient; minor instances of over-explanation that could be trimmed' rather than the every-token-earns-its-place level 5.

Actionability

The quick start is copy-paste-ready executable Python covering all three endpoints with real query strings ('openfda.generic_name:"warfarin"', 'status:"Ongoing"'), 404-as-empty handling, exact field paths, and worked output handling — fully executable and covering the common cases, matching the level-5 anchor.

Workflow Clarity

The 6-step workflow is clearly sequenced (normalize first, label, NDC, enforcement, cache, attach) with checkpoints such as gating alerts on classification and filtering to status:"Ongoing". It falls short of level 5 because there is no explicit validate/retry feedback loop (e.g., what to do when the ingredient query returns zero matches — retry with brand name is only implied in the gotchas). Level 3 does not apply since checkpoints are explicit and the operation is non-destructive, so no cap applies.

Progressive Disclosure

No bundle files exist and the ~125-line body is well organized into endpoints, quick start, workflow, hand-off, edge cases, and standards sections. It is not level 5 because nothing is offloaded to reference files despite some material (the key-fields table, full gotcha list, standards links) being reference-file sized; it is above level 3 because nothing is buried and the structure is clean for a single-file skill.

Specificity

The description lists multiple concrete capabilities — "Looks up FDA drug labels, NDC directory entries, indications, boxed warnings, and recalls/enforcement actions via the free public OpenFDA API" — with comprehensive coverage of what the skill resolves (label, NDC, RxCUI, recall status); no minor gaps remain, matching the comprehensive-coverage anchor.

Completeness

Both what and when are explicit: what is "Looks up FDA drug labels, NDC directory entries, indications, boxed warnings, and recalls/enforcement actions", and when is the concrete "Use when the user wants the prescribing information for a drug, its boxed warning, approved indications, dosage forms and routes, package NDC codes, RxCUI, or whether a product has an open recall".

Trigger Term Quality

"Trigger keywords: OpenFDA, drug label, SPL, prescribing information, boxed warning, black box warning, indications, NDC, package code, recall, enforcement, Class I recall, drug enrichment" covers natural terms users would say, including synonyms (boxed warning / black box warning, prescribing information / SPL).

Distinctiveness Conflict Risk

It occupies a clear niche (FDA regulatory data via OpenFDA) with distinct triggers, and explicitly delimits adjacent-skill boundaries ("Pairs adjacent to OpenMed NER... take a drug name (or RxNorm RxCUI) from openmed.analyze_text"), minimizing overlap risk.