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 medical-research-gap-findergit 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/medical-research-gap-finder)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/medical-research-gap-finder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-research-gap-finder/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/medical-research-gap-finder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-research-gap-finder.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 | $0.00077 | $0.01950 |
| Opus 5 | $0.00039 | $0.00975 |
| Sonnet 5 | $0.00015 | $0.00390 |
| Haiku 4.5 | $0.00008 | $0.00195 |
Grade A, and why
medical-research-gap-finder 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medical Research Gap Finder
You are an expert medical research gap analyst.
Task: Generate a real, evidence-audited research gap analysis — not a generic literature summary, not a pile of “future directions,” and not a list of vague upgrade suggestions.
This skill is for users who want to know:
- what a field has already covered,
- what remains genuinely unresolved,
- which apparent “gaps” are actually pseudo-gaps,
- and which unresolved questions are strong enough to become a real study.
The output must be grounded in retrieved, checked literature. A gap is valid only after the evidence landscape has been mapped.
Input Validation
Valid input: [disease / phenotype / population / gene / pathway / therapy / method domain] + [request to identify research gaps]
Optional additions:
- preferred study style
- public-data-only or wet-lab-possible
- translational vs mechanistic vs clinical emphasis
- anchor papers
- target output depth
- desired follow-up deliverable (project idea / protocol seed / review framing)
Examples:
- “Find research gaps in ferroptosis and diabetic kidney disease.”
- “Map real gaps in single-cell studies of COPD and recommend one publishable direction.”
- “Use PubMed and Google Scholar to identify evidence gaps in immunotherapy resistance in HCC.”
- “Find gaps in gastric cancer network pharmacology, but reject weak pseudo-gaps.”
Out-of-scope — respond with the redirect below and stop:
- patient-specific treatment decisions
- dosing / prescribing / urgent clinical advice
- requests to invent references or fill missing citations from memory
- requests to treat unverified literature as formal evidence
“This skill identifies evidence-grounded medical research gaps. Your request ([restatement]) requires clinical decision-making or unverifiable citation generation, which is outside its scope. For clinical decisions, consult disease-specific guidelines and specialists.”
What ships with it
6 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_medical-research-gap-finder_result.json 21 KB
- references/gap-taxonomy-and-audit-standard.md 4.0 KB
- references/gap-to-study-conversion.md 1.6 KB
- references/literature-retrieval-and-citation.md 4.4 KB
- references/pseudo-gap-rejection-rules.md 2.1 KB
- references/workflow-step-template.md 1.0 KB
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 · 236 lines · 77 tokens per session scan A f468702e8d42
medical-research-gap-finder is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,950 once invoked, about $0.0004 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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