Conciseness

The body is dense and information-rich — value-set tables, an edge-cases section, and a tight quick start — with no generic filler explaining concepts Claude already knows. It sits at the score-4 anchor ('efficient; minor instances that could be trimmed') rather than 5 because the 5-line motivation intro, the hand-off section's cross-skill prose, and the standards link list carry some tokens that a leaner version would cut.

Actionability

The quick start is near copy-paste ready (two concrete 'openmed.analyze_text' calls with model_name and output_format, plus a complete ICSR skeleton dict) and the value sets give exact codes and FAERS field names. It stops short of the score-5 anchor due to minor gaps: 'openmed.deidentify(narrative, policy=...)' leaves the policy argument unspecified, and MedDRA PT coding is deferred to the user's licensed dictionary (explicitly and reasonably justified).

Workflow Clarity

The 7-step workflow is clearly sequenced with explicit gates ('De-identify first', 'Never invent PTs', hand-off to a qualified safety reviewer) and correct ordering (de-identify before export, characterize before coding). It matches the score-4 anchor ('clear sequence with most checkpoints present; minor validation gaps') rather than 5 because there is no explicit validate-and-retry feedback loop (e.g., verifying de-identification actually removed identifiers before proceeding).

Progressive Disclosure

No bundle files exist, and the single-file body is well organized with clear section headers (When to use, Quick start, value sets, Workflow, Hand-off, Edge cases, Standards) and one-level-deep external links. This is good structure with minor organization gaps — the E2B value-set tables and standards link list could live in a reference file — matching the score-4 anchor rather than the score-5 ideal of well-signaled separate references.

Specificity

The description lists multiple concrete, specific capabilities: 'Structures adverse-event mentions... into FAERS / ICH E2B(R3) reportable fields — suspect drug, reaction (MedDRA PT), seriousness criteria, and outcome', and the Use-when clause enumerates concrete sub-tasks (build an ICSR, populate a FAERS submission, map a narrative to E2B(R3) data elements, classify seriousness, assign reaction outcomes). Coverage is comprehensive with no notable gaps, matching the score-5 anchor rather than the score-4 anchor ('minor gaps in coverage').

Completeness

It explicitly answers both 'what' ('Structures adverse-event mentions... into FAERS / ICH E2B(R3) reportable fields') and 'when' ('Use when the user needs to build an individual case safety report (ICSR), populate a FAERS submission, map a narrative to E2B(R3) data elements, classify seriousness..., or assign reaction outcomes') with concrete trigger phrases — a direct match for the score-5 anchor and the good-overall examples.

Trigger Term Quality

Trigger keywords are extensive and domain-natural: 'adverse event, ADR, ICSR, FAERS, E2B, E2B(R3), suspect drug, seriousness, MedDRA, reaction outcome, pharmacovigilance case' — good acronym and synonym coverage. It falls short of the score-5 anchor only because the most common natural lay phrase 'side effect' (and variants like 'drug side effect') is missing.

Distinctiveness Conflict Risk

It carves out a clear niche (regulatory adverse-event reporting into FAERS/E2B(R3)) with distinct triggers (ICSR, E2B, MedDRA, seriousness), and explicitly disambiguates sibling skills ('Pairs after OpenMed NER', 'consume Pharmaceutical/Chemical and Disease entities from openmed.analyze_text'), minimizing overlap risk — matching the score-5 'clear niche with distinct triggers' anchor rather than the score-4 anchor with minor overlap.