Conciseness

The ~35-line body is bullet-terse with no concept explanations Claude already knows (no 'what is an API' padding), and every rule adds non-obvious value, e.g. "Treat displayed `...` in tool previews as UI truncation, not literal request content". This matches anchor 5 ('lean and efficient; assumes Claude's competence; every token earns its place') — nothing reads as trimmable padding.

Actionability

The body gives a copy-paste-ready executable command (echo '{...}' | python scripts/rest_request.py), three concrete JSON request patterns, exact endpoint paths (`ontology/gwas-efo`, `gene/drugs`, `mr`, `literature/gwas`), and a complete field-by-field input/output contract that matches the actual script. This matches anchor 5 ('fully executable; copy-paste ready; specific examples cover the common cases').

Workflow Clarity

The single action (format JSON, pipe to the script, summarize) is unambiguous, and sequencing guidance exists ("Prefer the connectivity guard endpoints first ... `ping`, `builds`, and `meta/api-endpoints`"); the skill is read-only, so no destructive/batch validation cap applies. Held at anchor 4 rather than 5 because the documented failure output ("`ok=false` with `error.code` and `error.message`") has no recovery guidance, e.g. what to change before retrying.

Progressive Disclosure

Per the rubric's simple-skill guideline (under 50 lines, no external references needed), the well-organized sections (Operating rules, Execution behavior, Input, Output, Execution, References) merit a 5: the body is a compact overview, the single referenced bundle file `scripts/rest_request.py` exists and matches the documented contract, and the References section explicitly states "No additional runtime references are required" instead of dangling pointers.

Specificity

"Submit compact EpiGraphDB API requests for ontology, literature, MR, gene-drug, and support-path evidence" names the domain plus several concrete capability areas, matching anchor 4 ('lists several specific actions; minor gaps in coverage'). It stops short of anchor 5 because it describes essentially one action (submitting requests) rather than a comprehensive set of distinct concrete operations.

Completeness

It answers both parts: the what ("Submit compact EpiGraphDB API requests for ... evidence") and an explicit when ("Use when a user wants concise EpiGraphDB summaries"), matching anchor 4. It falls below anchor 5 because the 'when' clause covers only one trigger scenario (concise summaries) and omits triggers for the listed capabilities like MR or ontology lookups.

Trigger Term Quality

"EpiGraphDB", "MR", "gene-drug", "ontology", "literature", "concise ... summaries" give good keyword coverage for the niche, fitting anchor 4. Not anchor 5: it misses natural synonyms users would say, e.g. the expansion "Mendelian randomization" for the ambiguous abbreviation "MR", and "support-path evidence" is not a phrase users would naturally utter.

Distinctiveness Conflict Risk

EpiGraphDB is a specific named API with a clear niche (ontology, literature, MR, gene-drug evidence), so the description occupies a distinct slot with minimal overlap risk, matching anchor 5. Third-person voice is used correctly ("Submit"), so no voice penalty applies.