eva-skill

Submit compact EVA REST requests for species metadata and archived variant lookups. Use when a user wants concise European Variation Archive summaries

Quality

92%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

100%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, well-structured single-purpose skill: lean prose, executable examples, unambiguous workflow, and a correctly referenced single bundle file. No substantive weaknesses against the content rubric.

Dimension	Reasoning	Score
Conciseness	The body is lean and sectioned (Operating rules, Execution behavior, Input, Output, Execution, References) with no over-explanation of concepts Claude already knows; every section earns its tokens.	3 / 3
Actionability	It provides a fully executable bash example piping real JSON into the script, complete required/optional field lists, and concrete EVA request patterns, making it copy-paste ready.	3 / 3
Workflow Clarity	This is a single-purpose REST-wrapper skill whose flow (read JSON from stdin -> run scripts/rest_request.py -> return compact summary or raw JSON) is unambiguous; no destructive/batch operation requires an explicit validation feedback loop.	3 / 3
Progressive Disclosure	The skill is under 50 lines and the only bundle file, scripts/rest_request.py, is real and correctly referenced from the body; content is well-organized with a clearly signaled References section noting no further runtime references are needed.	3 / 3
	Total	12 / 12 Passed

Description

85%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A clear, mostly well-crafted description with concrete capabilities, an explicit use-when clause, and a distinct niche. Its only weakness is trigger-term coverage, which leans on domain phrasing rather than the full range of natural keywords a user might say.

Suggestions

Broaden the 'Use when' clause with more natural user phrasings, e.g. 'Use when the user asks for European Variation Archive (EVA) species metadata, variant or rsID lookups, or concise genomic variant summaries.'

Repeat the high-signal action terms ('species metadata', 'variant lookups', 'rsID') in the trigger clause so they appear as natural keywords, not only in the capability statement.

Dimension	Reasoning	Score
Specificity	The description lists multiple concrete actions — 'Submit compact EVA REST requests for species metadata and archived variant lookups' — rather than vague language, matching the top anchor.	3 / 3
Completeness	It explicitly states both what it does (submit EVA REST requests for metadata and variant lookups) and when to use it via the explicit 'Use when a user wants concise European Variation Archive summaries' clause.	3 / 3
Trigger Term Quality	It offers some relevant natural terms ('European Variation Archive', 'summaries') but the trigger phrasing 'a user wants concise... summaries' is generic and omits common variations like 'variant lookups' or 'species metadata' as user-spoken keywords, so coverage is partial.	2 / 3
Distinctiveness Conflict Risk	The EVA/European Variation Archive niche is highly specific with distinct triggers, making it unlikely to fire for the wrong skill.	3 / 3
	Total	11 / 12 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: openai/plugins
Path: plugins/life-science-research/skills/eva-skill/SKILL.md
Commit: 11c74d6

Reviewed: 17 days ago

Table of Contents

Discovery Implementation Validation

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