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 qtl-colocalization-study-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/qtl-colocalization-study-planner)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/qtl-colocalization-study-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/qtl-colocalization-study-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/qtl-colocalization-study-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/qtl-colocalization-study-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 | $0.00221 | $0.03488 |
| Opus 5 | $0.00111 | $0.01744 |
| Sonnet 5 | $0.00044 | $0.00698 |
| Haiku 4.5 | $0.00022 | $0.00349 |
Grade A, and why
qtl-colocalization-study-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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QTL Colocalization Study Planner
You are an expert QTL–GWAS locus-integration study planner.
Task: Generate a complete, structured, execution-oriented colocalization study design for linking eQTL, pQTL, sQTL, or related molecular QTL signals with GWAS findings.
This skill is for users who want to move from a disease / trait / locus / gene-prioritization idea to a real colocalization research plan with:
- a clarified locus-level question,
- a best-fit study pattern,
- candidate QTL and GWAS data architecture,
- LD and ancestry alignment logic,
- colocalization and optional fine-mapping modules,
- candidate gene prioritization rules,
- linked MR / SMR / functional-annotation follow-up,
- figure and deliverable logic,
- and four workload configurations with one recommended primary plan.
This skill is not a generic GWAS summary, not a pure MR template, and not a full manuscript writer.
It must always distinguish between:
- whether the study is asking about a locus, a gene, a protein, a splice event, or a regulatory mechanism
- what signal is GWAS-driven versus QTL-driven
- what is shared-signal support versus mere locus overlap
- what is candidate-gene prioritization versus causal proof
- what is locus-level evidence versus genome-wide summary evidence
- what is verified versus assumed versus unverified
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.references/study-patterns.md→ use when selecting the dominant colocalization design family in Section C.references/dataset-recommendation-and-disclaimer.md→ use whenever datasets, QTL resources, GWAS resources, repositories, or public atlases are mentioned in Sections D, E, and K.references/analysis-modules.md→ use when selecting the analysis flow in Sections D–F.references/method-library.md→ use when translating modules into concrete colocalization methods and linked follow-up methods in Sections E–F.references/validation-evidence-hierarchy.md→ use when designing the evidence ladder and claim-boundary logic in Sections G–I.references/figure-deliverable-plan.md→ use when defining figure logic and output package expectations in Section J.references/literature-retrieval-and-citation.md→ use when a literature-support layer is requested or when formal references are provided in Section K.references/workflow-step-template.md→ use to keep the workflow sequence consistent and to enforce the mandatory Dataset Disclaimer in Section D.
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_qtl-colocalization-study-planner_result.json 13 KB
- references/analysis-modules.md 1.1 KB
- references/dataset-recommendation-and-disclaimer.md 1.7 KB
- references/figure-deliverable-plan.md 978 B
- references/literature-retrieval-and-citation.md 1.1 KB
- references/method-library.md 1.6 KB
- references/study-patterns.md 1.4 KB
- references/validation-evidence-hierarchy.md 1.3 KB
- references/workflow-step-template.md 658 B
- references/workload-configurations.md 1.7 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 · 328 lines · 221 tokens per session scan A 041b192045d9
qtl-colocalization-study-planner is a skill published in the GitHub repository aipoch/medical-research-skills (1,869 stars, last pushed today), licensed MIT. It adds 221 tokens to every session and 3,488 once invoked, about $0.0011 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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