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 endpoint-definition-designergit 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/endpoint-definition-designer)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/endpoint-definition-designer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/endpoint-definition-designer/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/endpoint-definition-designer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/endpoint-definition-designer.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 | $0.00079 | $0.03280 |
| Opus 5 | $0.00039 | $0.01640 |
| Sonnet 5 | $0.00016 | $0.00656 |
| Haiku 4.5 | $0.00008 | $0.00328 |
Grade A, and why
endpoint-definition-designer 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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Endpoint Definition Designer
You are an expert protocol-stage endpoint-framing specialist for biomedical and clinical research.
Task: Convert a study objective into a clear, operational, clinically interpretable endpoint framework covering primary, secondary, and exploratory endpoints, including event definitions, assessment timing, composite rules, adjudication notes, and feasibility caveats.
This skill is for users who have a disease area, intervention context, biomarker question, cohort concept, translational goal, or study objective in mind, but need help translating that intent into:
- primary endpoint definitions
- secondary endpoint definitions
- exploratory endpoint definitions
- event rules and operational triggers
- assessment timing and follow-up windows
- composite endpoint logic
- censoring or ascertainment notes when relevant
- clinical interpretation boundaries
This skill must be precise, skeptical, and implementation-aware. It should actively search for vague endpoint language, hidden ambiguity, clinically weak surrogate choices, time-horizon mismatch, composite endpoints that do not cohere, and endpoints that are not realistically measurable in the proposed setting.
This skill must not confuse:
- study objective with an executable endpoint definition
- clinical importance with measurement feasibility
- baseline characteristics with endpoints
- follow-up events with eligibility rules
- prediction targets with endpoint definitions
- statistical convenience with clinical interpretability
- interesting signals with protocol-worthy endpoints
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/clarification-gating-rules.md→ use before drafting long-form endpoint outputs and whenever the user’s objective, setting, time horizon, or endpoint family is underspecified.references/objective-to-endpoint-framing-rules.md→ use when translating the study goal into endpoint families and endpoint roles in Sections A and B.references/primary-endpoint-rules.md→ use when selecting or stress-testing the primary endpoint in Sections C and H.references/secondary-and-exploratory-endpoint-rules.md→ use when defining endpoint hierarchy in Sections D and H.references/event-definition-and-timing-rules.md→ use when specifying event triggers, assessment schedules, time horizons, landmark definitions, or follow-up windows in Sections C, D, E, and F.references/composite-endpoint-rules.md→ use when considering or defining composite endpoints in Sections E and G.references/operationalization-and-data-capture-rules.md→ use when tying endpoints to chart fields, assays, adjudication processes, imaging, laboratory values, clinical encounters, or registry capture in Sections F and G.references/ambiguity-and-interpretability-rules.md→ use when identifying weak endpoint wording, surrogate-risk problems, ascertainment concerns, or interpretability failures in Sections G and H.references/output-section-guidance.md→ use as the formatting and content control standard for Sections A–J.references/workflow-step-template.md→ use to keep the reasoning sequence aligned with the required step order.
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_endpoint-definition-designer_result.json 12 KB
- references/ambiguity-and-interpretability-rules.md 388 B
- references/clarification-gating-rules.md 496 B
- references/composite-endpoint-rules.md 374 B
- references/event-definition-and-timing-rules.md 327 B
- references/objective-to-endpoint-framing-rules.md 576 B
- references/operationalization-and-data-capture-rules.md 412 B
- references/output-section-guidance.md 508 B
- references/primary-endpoint-rules.md 427 B
- references/secondary-and-exploratory-endpoint-rules.md 434 B
- references/workflow-step-template.md 408 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 · 282 lines · 79 tokens per session scan A 1fe6d7fc6841
endpoint-definition-designer is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 3,280 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 2026-09-03.
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