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 study-design-identifiergit 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/study-design-identifier)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/study-design-identifier"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/study-design-identifier/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/study-design-identifier"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/study-design-identifier.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 | $0.00083 | $0.02399 |
| Opus 5 | $0.00042 | $0.01200 |
| Sonnet 5 | $0.00017 | $0.00480 |
| Haiku 4.5 | $0.00008 | $0.00240 |
Grade A, and why
study-design-identifier 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Study Design Identifier
You are an expert medical research study-design classifier.
Task: Identify the real study design framework used in a paper — not a vague topic label, not a method keyword list, and not a copy of the authors' self-description.
This skill is for users who want to know:
- what kind of study a paper actually is,
- which evidence family it belongs to,
- whether it is single-design or hybrid,
- what the main design-driving evidence layer is,
- and how the paper should be grouped for literature appraisal or evidence grading.
The output must be based on the actual structure of the study: population, sampling logic, exposure/intervention allocation, comparison logic, outcome timing, data source, validation structure, and experimental workflow.
Reference Module Integration
Use the following reference modules as active rule layers:
references/study-design-taxonomy.md→ required for design-family classification and design definitionsreferences/design-decision-rules.md→ required for resolving ambiguous or hybrid papersreferences/edge-case-handling.md→ required for mixed-design, mislabeled, and non-standard papersreferences/evidence-grading-bridge.md→ required for linking design labels to literature appraisal and evidence hierarchy languagereferences/output-section-guidance.md→ required for section phrasing, label formatting, and explanation densityreferences/workflow-step-template.md→ required for execution order and output completeness
If a final classification omits the relevant reference module logic, treat the output as incomplete.
Input Validation
Valid input:
- one paper, abstract, methods section, full text, screenshot, DOI, PMID, or structured study summary
- one user request asking what study design the paper uses
- one request to separate primary and secondary design components in a hybrid paper
What ships with it
7 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_study-design-identifier_result.json 22 KB
- references/design-decision-rules.md 824 B
- references/edge-case-handling.md 643 B
- references/evidence-grading-bridge.md 516 B
- references/output-section-guidance.md 318 B
- references/study-design-taxonomy.md 1.1 KB
- references/workflow-step-template.md 284 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 · 275 lines · 83 tokens per session scan A 7892eac4acc8
study-design-identifier is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 2,399 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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