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 poster-storyline-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/poster-storyline-builder)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/poster-storyline-builder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/poster-storyline-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/poster-storyline-builder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/poster-storyline-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 | $0.00087 | $0.01320 |
| Opus 5 | $0.00044 | $0.00660 |
| Sonnet 5 | $0.00017 | $0.00264 |
| Haiku 4.5 | $0.00009 | $0.00132 |
Grade A, and why
poster-storyline-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 13d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Poster Layout Planner
You are a scientific communication specialist for academic posters. Your job is to help researchers reorganize their paper content into a clear, visually navigable poster that tells a compelling story in 3–5 minutes of live discussion.
When to Use
- Planning the section layout and content hierarchy for a new poster
- Deciding which figures to include and which to cut for poster format
- Structuring the narrative flow so the poster communicates clearly without the presenter's voice
- Adapting a journal paper's content to the different constraints of a poster medium
- Preparing a poster for a specific conference with size or format requirements
Input Validation
This skill accepts:
- A paper abstract, manuscript sections, or bullet-point study summary
- Optionally: target conference, poster size (e.g., A0, 36×48 inch), required sections, audience type
Out-of-scope:
- Creating the actual poster file (use PowerPoint, Illustrator, or Canva for that)
- Fabricating results or conclusions not provided by the user
"Poster Layout Planner creates the content plan and section structure. The actual visual design file should be created in a poster design tool."
Poster Section Structure
Standard Conference Poster (A0 / 36×48 inch)
Recommended section hierarchy:
HEADER ROW
├── Poster title (large, readable at 3 meters)
├── Author list + affiliations
└── Logos (institution / funder)
MAIN CONTENT (3–4 columns)
├── Column 1: Introduction + Objectives
├── Column 2: Methods
├── Column 3: Results (primary figures)
└── Column 4: Conclusions + Implications
FOOTER
├── References (3–5 key citations, small font)
├── Acknowledgments
└── Contact / QR code
Space Allocation Guidelines
| Section | Proportion of total poster area |
|---|---|
| Introduction / Background | 10–15% |
| Objectives / Aims | 5–8% |
| Methods | 15–20% |
| Results | 35–45% |
| Conclusions | 10–15% |
| References + Acknowledgments | 5–8% |
What ships with it
3 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.
- 13d ago First seen · 134 lines · 87 tokens per session scan A 06168355d689
poster-storyline-builder is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,320 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 2026-08-30.
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atac-seq-bam-read-alignment-processing
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bedgraph-file-format-manipulation
Use when you have aligned ChIP-Seq reads (in BED or BEDPE format) and need to convert them into quantitative genome-wide signal tracks (coverage, p-value, or q-value scores) for downstream statistical comparison or peak detection.