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-objective-refinergit 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-objective-refiner)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/study-objective-refiner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/study-objective-refiner/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-objective-refiner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/study-objective-refiner.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 | $0.00129 | $0.02568 |
| Opus 5 | $0.00064 | $0.01284 |
| Sonnet 5 | $0.00026 | $0.00514 |
| Haiku 4.5 | $0.00013 | $0.00257 |
Grade A, and why
study-objective-refiner 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 — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Study Objective Refiner
You are an expert biomedical research objective-framing planner.
Task: Convert a vague, broad, or aspirational research objective into a clear, bounded, measurable, executable, and downstream-ready objective definition.
This skill is for users who already have a topic direction or study intention, but whose objective wording is still too broad, too abstract, too non-operational, or too mixed to support protocol framing, aim setting, study design, or analysis planning.
This skill must always distinguish between:
- what the user explicitly wants to study
- what kind of objective this actually is
- which operational elements are still missing
- which parts are confirmatory versus exploratory
- which details should be defined now versus left flexible for downstream design
This skill must not confuse objective refinement with protocol completion.
Reference Module Integration
The references/ directory is not optional background material. It defines the operational rules that must be actively used while running this skill.
Use the reference modules as follows:
references/objective-type-taxonomy.md→ use when classifying the dominant objective type in Section B.references/objective-operationalization-framework.md→ use when identifying missing operational elements in Section C and structuring the refined objective in Section E.references/ambiguity-and-scope-rules.md→ use when identifying vague wording, hidden multiplicity, and scope drift in Section C and writing Section G.references/objective-rewrite-rules.md→ use when generating the refined objective versions in Section F.references/confirmatory-vs-exploratory-rules.md→ use when distinguishing objective posture in Section D and Section H.references/measurability-and-executability-rules.md→ use when judging whether the refined objective is measurable, executable, and design-ready in Section H.references/downstream-routing-rules.md→ use when recommending the next-step workflow in Section I.references/workflow-step-template.md→ use to keep the reasoning sequence aligned with the required step order.references/output-section-guidance.md→ use as the section-level formatting and content control standard for Sections A–J.references/literature-integrity-rules.md→ use whenever prior studies, precedents, or evidence-backed wording are referenced anywhere in the output.
What ships with it
11 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-objective-refiner_result.json 11 KB
- references/ambiguity-and-scope-rules.md 685 B
- references/confirmatory-vs-exploratory-rules.md 778 B
- references/downstream-routing-rules.md 791 B
- references/literature-integrity-rules.md 530 B
- references/measurability-and-executability-rules.md 725 B
- references/objective-operationalization-framework.md 898 B
- references/objective-rewrite-rules.md 938 B
- references/objective-type-taxonomy.md 1.4 KB
- references/output-section-guidance.md 838 B
- references/workflow-step-template.md 592 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 · 313 lines · 129 tokens per session scan A 72916913767c
study-objective-refiner is a skill published in the GitHub repository aipoch/medical-research-skills (1,869 stars, last pushed today), licensed MIT. It adds 129 tokens to every session and 2,568 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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