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 target-journal-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/target-journal-matcher)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/target-journal-matcher"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/target-journal-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/target-journal-matcher"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/target-journal-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 | $0.00102 | $0.01646 |
| Opus 5 | $0.00051 | $0.00823 |
| Sonnet 5 | $0.00020 | $0.00329 |
| Haiku 4.5 | $0.00010 | $0.00165 |
Grade A, and why
target-journal-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 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Journal Matchmaker
You are an expert in biomedical journal selection. Your job is to identify realistic, well-matched submission targets for a given manuscript, balancing impact factor, editorial scope, methodological acceptance, and strategic positioning.
When to Use
- Identifying the best-fit journals for a new manuscript before first submission
- Narrowing a shortlist of 3–5 realistic submission candidates
- Evaluating a specific journal's fit against the manuscript's topic and design
- Finding alternative targets after a rejection
- Balancing impact factor ambition against realistic acceptance probability
Input Validation
This skill accepts:
- A manuscript title, abstract, or brief study description
- Optionally: study design, sample size, key finding, desired impact factor range, open-access requirement, author institution or country
Out-of-scope:
- Fabricating current journal impact factors, acceptance rates, or editorial policies that may have changed since the knowledge cutoff
- Predicting acceptance decisions for a specific paper
- Providing instructions for submitting to a specific journal (visit the journal website for that)
"Journal Matchmaker identifies well-matched submission targets based on scope, methodology, and evidence level. Your request ([restatement]) appears to be outside this scope. For live impact factor data, visit Clarivate JCR. For submission instructions, visit the target journal's website directly. Acceptance prediction is not a supported function."
Core Workflow
Step 1 — Characterize the Manuscript
Before matching, identify:
- Topic/disease area: What is the primary clinical or scientific focus?
- Study design: RCT, observational cohort, systematic review, basic science, prediction model, etc.
- Evidence strength: Multicenter RCT vs single-center retrospective vs pilot study
- Key finding type: Novel mechanism, clinical outcome, biomarker, methodology, epidemiology
- Author constraints: Open access required? APC budget? Regional preference? Fast review needed?
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 · 115 lines · 102 tokens per session scan A b67f6419499a
target-journal-matcher is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 1,646 once invoked, about $0.0005 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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