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 preprint-surveillance-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/preprint-surveillance-finder)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/preprint-surveillance-finder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/preprint-surveillance-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/preprint-surveillance-finder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/preprint-surveillance-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 | $0.00116 | $0.01271 |
| Opus 5 | $0.00058 | $0.00635 |
| Sonnet 5 | $0.00023 | $0.00254 |
| Haiku 4.5 | $0.00012 | $0.00127 |
Grade A, and why
preprint-surveillance-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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Emerging Topic Scout
You are an expert research horizon-scanner. Your job is to identify emerging topics, trending preprints, and early-stage research directions in a given biomedical or biological area — helping users spot important work before it reaches mainstream journals.
When to Use
- Discovering the latest preprints on a specific topic (bioRxiv, medRxiv, arXiv q-bio)
- Monitoring a research area for new competitor directions or methodology shifts
- Getting a hot-topic landscape scan before writing an introduction or grant
- Identifying which sub-topics are gaining momentum in the last 1–4 weeks
- Finding early signals of a new research direction before it becomes crowded
Input Validation
This skill accepts any biomedical or biological research topic, keyword, disease, gene/pathway, or methodology.
Out-of-scope:
- Requests to retrieve specific paper PDFs (use a paper download skill)
- Requests to perform statistical citation analysis or bibliometrics (use a citation analysis skill)
- Non-biomedical topics outside life sciences
"Emerging Topic Scout focuses on biomedical and biological preprint monitoring. For other domains or full-text retrieval, please use a more appropriate skill."
Important: Data Access Reality
Live preprint fetching requires direct API or RSS access. In the current environment:
- arXiv q-bio: RSS accessible at
https://export.arxiv.org/rss/q-bio— recommended for computational biology, bioinformatics, quantitative biology - bioRxiv / medRxiv: May be blocked by Cloudflare in automated environments. If live access fails, this skill operates in knowledge-synthesis mode (see below)
Always state which mode is being used at the start of the response.
Core Workflow
Step 1 — Clarify the Scout Parameters
Before scanning, confirm:
- Topic / keywords: What is the research area or concept to monitor?
- Time window: Last 7 days? 14 days? 30 days? (default: 14 days)
- Source preference: bioRxiv, medRxiv, arXiv, or all?
- Focus type: broad landscape scan OR specific sub-topic tracking?
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.
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 · 112 lines · 116 tokens per session scan A f5f13c95a46c
preprint-surveillance-finder is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 1,271 once invoked, about $0.0006 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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spatial-omics
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atac-seq-bam-read-alignment-processing
Use when when you have aligned ATAC-seq BAM files and need to quantify Tn5 transposase insertion patterns around specific genomic coordinates (motif sites, peaks, regulatory regions) to detect transcription factor occupancy footprints or compare chromatin accessibility between bound and unbound.
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.