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biomedical-search-strategy-builder

Builds professional search strategies for PubMed, Embase, Web of Science, and similar databases. Use when a user needs to construct a MeSH-based Boolean query, design a systematic review search, expand a concept with synonyms, apply study-type or date filters, or adapt a query across multiple databases. Also triggers when the user says "help me search for papers on X", "build a search strategy", "what are the MeSH terms for", or "I need a systematic review search string".

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

81%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.

A well-constructed skill body: lean, syntax-dense, with a clearly sequenced workflow, confirmation checkpoints, and pre-output self-checks. The two real weaknesses are the undocumented bundled script (discussed but never given a path or invocation) and mild redundancy between the scope-restating sections and the frontmatter description.

Suggestions

Add a short "Script usage" section (or extend the References section) that discloses scripts/main.py and its subcommands with an invocation example, e.g. `python scripts/main.py validate "(aspirin[Title/Abstract]) AND (stroke[MeSH Terms])"` — the Step 5 warning and the LAST_5_YEARS/LAST_10_YEARS instructions currently reference script behavior with no way to run it.

Merge the "When to Use" and "Input Validation" sections into one brief scope statement; both largely restate the frontmatter description and the out-of-scope list, so consolidation would trim tokens without losing information.

Include one worked cross-database example in Step 5 (e.g., the same concept group rendered in Embase Emtree syntax with /exp and .ti,ab.) so the adaptation rules are demonstrated end-to-end rather than only described.

DimensionReasoningScore

Conciseness

The body is efficient — no padding explaining what PubMed or Boolean logic is, and syntax is delivered in dense tables and copy-paste blocks. However, the "When to Use" section and the "Input Validation" section substantially restate the frontmatter description (e.g., "This skill accepts any research question, clinical question, PICO framework, or topic"), which could be merged. Minor trimming keeps this at 4 rather than 5.

4 / 5

Actionability

Mostly executable: exact field-tag syntax ("Diabetes Mellitus/drug therapy"[MeSH Terms]), filter table with literal syntax, pre-built clinical query filters as copy-paste blocks, and concrete adaptation rules (.ti,ab., TS=, /exp). The gap: the body references "the validate subcommand" and "LAST_5_YEARS / LAST_10_YEARS filter expressions" but never states the script's path (scripts/main.py) or an invocation command, so a reader cannot execute the validation it is told to run. This is a concrete missing detail, fitting 4 rather than 5.

4 / 5

Workflow Clarity

A six-step workflow with explicit validation checkpoints and feedback loops: ask a focused clarifying question when input is unclear (Step 1), mandatory flagging of unverified MeSH mappings (Step 2), an intermediate mapping check-in that requires user confirmation before proceeding (Step 2b), a manual bracket-verification step after running validate, and a pre-output Quality Checklist plus Hard Rules. This matches the 5 anchor (explicit validation steps, feedback loops, checklists for complex processes).

5 / 5

Progressive Disclosure

The body is a proper overview and both referenced files exist, are clearly signaled ("→ Detailed MeSH hierarchy guidance: references/mesh-structure.md"), and are one level deep — the two references were verified to exist with relevant content. However, the bundle's 26KB scripts/main.py (with pico, mesh, and validate subcommands) is never mentioned or linked anywhere in SKILL.md, leaving a major bundle asset undiscoverable. That organization gap holds this at 4 rather than 5.

4 / 5

Total

17

/

20

Passed

Description

96%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 strong description: third-person voice, concrete capability list, explicit "Use when" triggers with natural quoted user phrases, and a clearly demarcated niche. The only weakness is that one quoted trigger ("help me search for papers on X") invites confusion with actual paper retrieval, which the skill does not do.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — "construct a MeSH-based Boolean query", "design a systematic review search", "expand a concept with synonyms", "apply study-type or date filters", "adapt a query across multiple databases" — with the target databases named (PubMed, Embase, Web of Science). This matches the comprehensive-coverage anchor; the 4 anchor requires minor coverage gaps, and none are evident.

5 / 5

Completeness

It explicitly answers both questions: "what" in the opening sentence ("Builds professional search strategies for PubMed, Embase, Web of Science, and similar databases") and "when" via an explicit "Use when…" clause plus a second "Also triggers when…" sentence with concrete trigger phrases. This is a direct match for the 5 anchor, not the 4 anchor where the "when" could be more explicit.

5 / 5

Trigger Term Quality

Beyond technical keywords (MeSH, Boolean, systematic review, PubMed), it quotes natural user phrases: "help me search for papers on X", "build a search strategy", "what are the MeSH terms for", "I need a systematic review search string". Coverage of natural phrasing including synonyms is comprehensive, matching the 5 anchor rather than the 4 anchor's "a few natural terms missing".

5 / 5

Distinctiveness Conflict Risk

The niche is clear and mostly distinct — MeSH mapping and Boolean strategy construction with domain-specific triggers — but the quoted trigger "help me search for papers on X" reads like a paper-retrieval request, which this skill explicitly does not perform (per the body's out-of-scope list). That is a minor overlap risk with literature-retrieval/reading skills, fitting the 4 anchor rather than the 5 anchor's minimal conflict risk.

4 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

aipoch/medical-research-skills

Path

awesome-med-research-skills/Evidence Insight/biomedical-search-strategy-builder/SKILL.md

Reviewed

Table of Contents

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