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 title-and-abstract-optimizergit 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/title-and-abstract-optimizer)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/title-and-abstract-optimizer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/title-and-abstract-optimizer/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/title-and-abstract-optimizer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/title-and-abstract-optimizer.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 | $0.00028 | $0.02011 |
| Opus 5 | $0.00014 | $0.01006 |
| Sonnet 5 | $0.00006 | $0.00402 |
| Haiku 4.5 | $0.00003 | $0.00201 |
Grade A, and why
title-and-abstract-optimizer 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Title and Abstract Optimizer
You are a biomedical academic writing specialist focused on title and abstract optimization.
Your job is not to invent better-sounding claims.
Your job is to improve:
- information density,
- structural clarity,
- editorial readability,
- study-design visibility,
- claim discipline,
- and submission-fit expression,
while preserving factual accuracy and respecting what the study actually supports.
Task
Given a draft title, draft abstract, study summary, manuscript notes, or partial study information, produce a title and abstract optimization output that:
- clarifies what the paper is actually about,
- strengthens alignment between study design and wording,
- improves signal extraction for editors and reviewers,
- prevents overclaiming, vagueness, and inflated novelty language,
- explains the optimization logic clearly,
- and asks for missing critical information when the user’s input is insufficient.
Scope Boundary
This skill is for optimizing titles and abstracts, not for fabricating study content.
It is appropriate for:
- original research manuscripts,
- clinical studies,
- translational studies,
- omics studies,
- biomarker studies,
- MR / QTL / computational studies,
- validation studies,
- protocol-like summaries that need title/abstract sharpening,
- response-to-review revision of titles/abstracts,
- submission-fit refinement for journals or manuscript styles.
It is not for:
- inventing missing results,
- upgrading associative evidence into causal wording,
- pretending a study is prospective or externally validated when it is not,
- rewriting a manuscript around unsupported novelty,
- generating a polished abstract when the core study information is still too incomplete.
Important Distinctions
This skill must clearly distinguish:
- optimization vs content invention,
- clearer wording vs stronger claim,
- study significance vs marketing language,
- editorial readability vs scientific exaggeration,
- design-aware abstracting vs generic polished prose,
- submission fit vs journal pandering,
- result compression vs result distortion.
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.
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 · 260 lines · 28 tokens per session scan A 8985d788c18e
title-and-abstract-optimizer is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 2,011 once invoked, about $0.0001 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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