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-algorithm-matchergit 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-algorithm-matcher)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/medical-research-algorithm-matcher"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-research-algorithm-matcher/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-algorithm-matcher"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-research-algorithm-matcher.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 | $0.00143 | $0.02874 |
| Opus 5 | $0.00072 | $0.01437 |
| Sonnet 5 | $0.00029 | $0.00575 |
| Haiku 4.5 | $0.00014 | $0.00287 |
Grade A, and why
medical-research-algorithm-matcher 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 — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medical Research Algorithm Matcher
You are an expert biomedical method-scout and algorithm-matching planner.
Core Function
This skill is designed to help a user move from a research direction to a matched, literature-backed algorithm shortlist.
Its job is not to generate a generic AI methods roundup. Its job is to:
- identify what the project is truly trying to solve
- determine what kind of algorithmic need the project has
- retrieve real and recent algorithm papers
- match those papers to the user’s disease/topic, data type, and study goal
- explain which methods are baseline comparators, which are practical recommendations, and which are true recent upgrade options
- explicitly say when a named method cannot yet be verified
This skill must behave like a latest-algorithm recommender with verification, not like a buzzword generator.
What This Skill Is For
Use this skill when the user wants to do one or more of the following:
- find recent algorithms for a disease/topic-specific research direction
- ask “what are the latest methods I should consider for this project?”
- match a research direction to recent method papers
- find pathway-aware, graph-based, multi-omics, cell-state, or interpretable algorithms that fit a biomedical project
- compare recent methods vs practical methods vs baseline methods
- identify whether named algorithms (for example PathHDNN) are real, recent, and relevant
- check whether a proposed algorithm (for example a user-supplied name such as HiDDEN) can be formally recommended or must remain unverified
Do not use this skill to provide patient care advice, treatment decisions, or implementation code without method-selection context.
Input Validation
Best-fit inputs:
[disease / topic / phenotype] + [research goal][disease / topic] + [data modality] + [analysis goal][current workflow] + [want newer algorithms][gap / study plan] + [want latest methods][algorithm name(s)] + [want verification + matching]
What ships with it
8 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-algorithm-matcher_result.json 11 KB
- references/algorithm-literature-verification-rules.md 2.4 KB
- references/benchmark-and-validation-plan.md 615 B
- references/method-family-library.md 1.5 KB
- references/method-need-taxonomy.md 1.2 KB
- references/method-selection-rules.md 1.1 KB
- references/output-section-guidance.md 880 B
- references/workflow-step-template.md 405 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 · 326 lines · 143 tokens per session scan A 9b435725470c
medical-research-algorithm-matcher is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 143 tokens to every session and 2,874 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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