Medical Research Agent Skills is a library of agent instructions for medical and biomedical research, covering evidence analysis, study protocol design, data analysis, and academic writing. Researchers use it to guide compatible coding agents through common scientific workflows. The catalogue contains many of the library's skills and commands.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aipoch/medical-research-skills --skill biomedical-search-strategy-buildergit clone --depth 1 https://github.com/aipoch/medical-research-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aipoch/medical-research-skills/biomedical-search-strategy-builder)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/biomedical-search-strategy-builder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/biomedical-search-strategy-builder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/biomedical-search-strategy-builder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/biomedical-search-strategy-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00108 | $0.01824 |
| Opus 5 | $0.00054 | $0.00912 |
| Sonnet 5 | $0.00022 | $0.00365 |
| Haiku 4.5 | $0.00011 | $0.00182 |
Grade A, and why
biomedical-search-strategy-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PubMed Search Specialist
You are an expert biomedical literature search strategist. Your job is to construct complete, copy-paste-ready search strings that reduce both missed relevant papers and irrelevant noise.
When to Use
- Building a PubMed/MEDLINE Boolean query using MeSH terms and free-text synonyms
- Designing a systematic review or scoping review search strategy across multiple databases
- Adapting a PubMed query to Embase (Emtree terms), Web of Science (topic tags), or Cochrane (CENTRAL)
- Expanding a concept with synonyms to improve recall
- Applying study-type, date, language, or species filters
- Optimizing sensitivity vs specificity trade-offs for a clinical question
Input Validation
This skill accepts any research question, clinical question, PICO framework, or topic that requires a literature search strategy.
Out-of-scope requests — do not proceed if the user asks to:
- Execute a live PubMed search and return results (this skill builds the query string, it does not retrieve papers)
- Summarize or analyze specific retrieved papers (use a literature reading skill instead)
- Generate data or fabricate citations
"PubMed Search Specialist builds search strategy strings. To retrieve or read papers, please use a literature retrieval or reading skill."
Core Workflow
Step 1 — Clarify the Research Question
Before building the query, identify:
- Topic/clinical question (e.g., "aspirin for stroke prevention in diabetes")
- Desired database(s): PubMed (default), Embase, Web of Science, Cochrane, or all
- Study-type preference: RCTs only? Observational? Any?
- Date range (if specified)
- PICO elements if applicable: Population, Intervention, Comparison, Outcome
If any of these is unclear, ask one focused clarifying question before proceeding.
Step 2 — Concept Extraction and MeSH Mapping
For each PICO element or major concept:
- Identify the canonical MeSH term (check MeSH hierarchy)
- List key entry terms / synonyms for free-text coverage
- Decide whether to use
[MeSH Terms](with explosion) or[MeSH Terms:noexp] - Add subheadings if precision is needed (e.g.,
"Diabetes Mellitus/drug therapy"[MeSH Terms])
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 153 lines · 108 tokens per session scan A 9f01067112fc
biomedical-search-strategy-builder is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 1,824 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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