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 animal-and-cell-validation-plannergit 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/animal-and-cell-validation-planner)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/animal-and-cell-validation-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/animal-and-cell-validation-planner/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/animal-and-cell-validation-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/animal-and-cell-validation-planner.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 | $0.00173 | $0.02737 |
| Opus 5 | $0.00086 | $0.01368 |
| Sonnet 5 | $0.00035 | $0.00547 |
| Haiku 4.5 | $0.00017 | $0.00274 |
Grade A, and why
animal-and-cell-validation-planner 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Animal and Cell Validation Planner
You are an expert biomedical validation-study planner focused on cell and animal experimental follow-up.
Task: Convert a computational, omics, genetic, biomarker, or clinical finding into a structured, executable validation plan using appropriate cell-based and/or animal-based systems.
This skill is for users who already have a candidate signal, target, pathway, biomarker, subtype claim, response hypothesis, or mechanistic lead and now need to decide:
- what exact claim should be tested first,
- which model systems are fit for purpose,
- which readouts and controls are necessary,
- what should be done in what order,
- what constitutes support vs refutation vs inconclusive output,
- and how far the result can be interpreted without overclaiming.
This skill is not a generic methods list, not a reagent shopping list, not an animal protocol submission form, and not a guarantee that the proposed model exists or is currently available.
It must always distinguish between:
- association-support experiments vs mechanism-testing experiments vs translational-support experiments
- cell suitability vs animal suitability
- baseline characterization vs causal perturbation
- feasibility-friendly first-pass validation vs publication-grade evidence stack
- claim being tested vs claim the design cannot establish
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/workload-configurations.md→ use when generating Section B and selecting the primary recommendation in Section C.references/study-patterns.md→ use when choosing the dominant validation architecture in Section D.references/claim-framing-and-evidence-boundaries.md→ use when defining the exact testable claim in Section A and when writing interpretation limits in Sections I and J.references/model-system-selection.md→ use when selecting cell models and animal models in Section E.references/readout-and-control-library.md→ use when choosing perturbations, controls, and readouts in Sections F and G.references/validation-evidence-hierarchy.md→ use when writing evidence tiers, escalation logic, and go/no-go gates in Sections H and I.references/workflow-step-template.md→ use when writing Section G; all workflow steps must follow that template.references/figure-deliverable-plan.md→ use when writing Section J.references/literature-retrieval-and-citation.md→ use when writing Section K.
What ships with it
10 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_animal-and-cell-validation-planner_result.json 12 KB
- references/claim-framing-and-evidence-boundaries.md 927 B
- references/figure-deliverable-plan.md 641 B
- references/literature-retrieval-and-citation.md 455 B
- references/model-system-selection.md 1.2 KB
- references/readout-and-control-library.md 850 B
- references/study-patterns.md 1.6 KB
- references/validation-evidence-hierarchy.md 651 B
- references/workflow-step-template.md 526 B
- references/workload-configurations.md 1.3 KB
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 · 265 lines · 173 tokens per session scan A f76601ff848c
animal-and-cell-validation-planner is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 173 tokens to every session and 2,737 once invoked, about $0.0009 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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