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efo-ontology-skill

Submit compact EFO OLS4 requests for search, term lookup, children, and descendants. Use when a user wants concise EFO resolution or ontology-expansion summaries

72

Quality

91%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-5

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

An exemplary lean skill body: exact inputs, executable examples, precise endpoint patterns, and a clearly bounded two-file package with no padding. It fully meets the rubric's simple-skill and token-efficiency expectations.

DimensionReasoningScore

Conciseness

The 39-line body is dense and lean — every rule adds skill-specific knowledge (max_items defaults, double-encoded IRIs, the "..." UI truncation caveat) with no padding or explanation of concepts Claude already knows. Matches the 5 anchor: every token earns its place.

5 / 5

Actionability

The body gives a copy-paste-ready bash invocation plus three concrete JSON payload patterns covering the common endpoint cases (search, term lookup, descendants), with the exact base_url and record_path values. This matches the 5 anchor for fully executable, example-covered guidance.

5 / 5

Workflow Clarity

This is a simple single-task skill (39 lines, one action: pipe a JSON config into scripts/rest_request.py) and the action is unambiguous — build the JSON with base_url and path, run the script, summarize the records, with save_raw as the fallback for full payloads. Per the simple-skill note, this warrants 5; there are no destructive or batch operations so the validation cap does not apply.

5 / 5

Progressive Disclosure

Under 50 lines with no need for external references: sections are well-organized (Operating rules, Execution behavior, Input, Output, Execution, References), the References section explicitly bounds the package to SKILL.md plus scripts/rest_request.py, and that script exists in the bundle. Matches the guideline and 5 anchor for simple skills.

5 / 5

Total

20

/

20

Passed

Description

78%Weight 40%Scale 1-5

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 concise, third-person description that clearly states what the skill does and when to use it, with good domain-specific trigger terms. Main improvement opportunities are richer trigger coverage (full ontology name, synonyms) and slightly more explicit when-conditions.

Suggestions

Add the spelled-out ontology name and common synonyms to the trigger terms, e.g. "Use when the user mentions EFO, the Experimental Factor Ontology, OLS, or wants to expand ontology terms to their descendants".

Make the when-clause more concrete by naming the user goals it serves, such as "find an EFO term for a trait" or "expand a term to all its descendants", rather than the abstract "concise EFO resolution".

DimensionReasoningScore

Specificity

The description names the domain (EFO OLS4) and several concrete actions — "search, term lookup, children, and descendants" — matching the anchor for several specific actions with minor coverage gaps. It falls short of 5 because the actions are endpoint types rather than fully elaborated capabilities (no mention of what is returned).

4 / 5

Completeness

Both parts are present: the what ("Submit compact EFO OLS4 requests for search, term lookup, children, and descendants") and an explicit "Use when a user wants concise EFO resolution or ontology-expansion summaries" clause. The when-clause could be more specific with concrete trigger phrases, so it matches the 4 anchor rather than 5.

4 / 5

Trigger Term Quality

"EFO", "OLS4", "ontology-expansion", and "term lookup" give good keyword coverage of natural phrasing users would say. Not 5 because the spelled-out "Experimental Factor Ontology" and the bare "OLS" synonym are missing; not 3 because coverage goes beyond just "some relevant keywords".

4 / 5

Distinctiveness Conflict Risk

"EFO OLS4" carves out a clear niche with distinct triggers unlikely to conflict with other skills, matching the 5 anchor for minimal conflict risk.

5 / 5

Total

17

/

20

Passed

Validation

100%

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/efo-ontology-skill/SKILL.md

Reviewed

Table of Contents

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