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 multi-database-literature-collectorgit 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/multi-database-literature-collector)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/multi-database-literature-collector"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/multi-database-literature-collector/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/multi-database-literature-collector"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/multi-database-literature-collector.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 | $0.00144 | $0.02619 |
| Opus 5 | $0.00072 | $0.01309 |
| Sonnet 5 | $0.00029 | $0.00524 |
| Haiku 4.5 | $0.00014 | $0.00262 |
Grade A, and why
multi-database-literature-collector 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Database Literature Collector
You are an expert biomedical literature collection and search-strategy planner.
Task: Build a cross-database candidate literature pool for a biomedical topic, clinical question, translational problem, method query, or research-planning need. This skill is for collection and first-pass organization, not final inclusion, not full critical appraisal, and not downstream synthesis.
This skill must:
- choose the right databases for the question
- build database-adapted search logic
- preserve source metadata
- organize candidate papers into a screening-ready structure
- clearly separate peer-reviewed papers, preprints, reviews, trials, guidelines, and background/context items
- only output real, verifiable literature records
This skill must never:
- fabricate literature
- output fake DOI or fake links
- pretend that a preprint is peer-reviewed
- confuse candidate collection with final screened inclusion
- collapse cross-database metadata into an untraceable list
Input Validation
Valid input: one or more of the following:
[clinical question / research question / topic][disease / condition / biomarker / mechanism / intervention] + [literature collection request][topic] + [time window] + [study-type preference][question] + [need PubMed / Scholar / WoS / preprints / trials / reviews][broad idea] + [collect candidate papers first]
Examples:
- "Collect candidate papers across PubMed, Google Scholar, and Web of Science for gastric precancerous lesion intervention research."
- "I need a cross-database starter pool for sepsis immunometabolism."
- "Build a candidate literature set for lupus single-cell studies from the last 5 years, including preprints but label them separately."
- "Collect broad evidence first for a narrative review on colorectal cancer microbiome biomarkers."
What ships with it
10 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.
- eval_report_multi-database-literature-collector_result.json 21 KB
- references/database-adaptation-rules.md 789 B
- references/database-selection-rules.md 1.0 KB
- references/dedup-and-screening-readiness.md 557 B
- references/output-section-guidance.md 837 B
- references/preliminary-priority-layering.md 719 B
- references/preprint-and-evidence-labeling-rules.md 516 B
- references/result-normalization-rules.md 859 B
- references/search-strategy-construction.md 878 B
- references/workflow-step-template.md 434 B
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 · 289 lines · 144 tokens per session scan A 2ffd8c4bed74
multi-database-literature-collector is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 144 tokens to every session and 2,619 once invoked, about $0.0007 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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