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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aipoch/medical-research-skillsnpx agentmods add skills/aipoch/medical-research-skills/univariate-multivariable-cox-regressionWrote 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/univariate-multivariable-cox-regression)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/univariate-multivariable-cox-regression"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/univariate-multivariable-cox-regression/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/univariate-multivariable-cox-regression"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/univariate-multivariable-cox-regression.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 | $0.02767 |
| Opus 5 | $0.00039 | $0.01384 |
| Sonnet 5 | $0.00016 | $0.00553 |
| Haiku 4.5 | $0.00008 | $0.00277 |
Grade A, and why
univariate-multivariable-cox-regression 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.
Univariate and Multivariable Cox Regression
When to Use
Use this skill when you need to:
- run univariate and multivariable Cox regression on a clinical survival cohort;
- identify prognostic clinical variables associated with time-to-event outcomes;
- export hazard-ratio tables and then render forest plots from those results.
Typical user requests:
- "Run single-factor and multi-factor Cox regression on this survival dataset."
- "Find prognostic variables from my clinical cohort and give me forest plots."
- "Use futime and fustat to do Cox regression for age, stage, and risk."
When Not to Use
Do not use this skill for:
- nomogram construction or calibration analysis;
- time-dependent ROC analysis or external prognostic model validation;
- feature discovery pipelines beyond the built-in univariate screening rule;
- non-survival outcomes such as binary diagnosis or differential expression.
When to Read External Files
| Situation | File to Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md |
Statistical workflow, assumptions, and feature-selection rule |
| Need to run analysis | scripts/main.R |
Execute Rscript scripts/main.R <command> [options] |
| Encounter errors | references/troubleshooting.md |
Common SKILL_* errors and fixes |
| Need CLI examples | references/cli-guide.md |
Command-specific argument examples |
| Need test data | tests/data/ |
Minimal runnable cohort for smoke testing |
Usage
1. Run Cox Analysis
Rscript scripts/main.R analyze \
--data_file ./clinical_data.csv \
--features age,gender,stage,risk \
--time_col futime \
--event_col fustat \
--output_dir ./output/ \
--seed 42
2. Generate Univariate Forest Plot
Rscript scripts/main.R forest-plot \
--data_file ./output/table/prognosis_uni_cox_results.xlsx \
--plot_save ./output/plot/uni_forest_plot.pdf
3. Generate Multivariable Forest Plot
What ships with it
21 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_univariate-multivariable-cox-regression_result.json 12 KB
- references/algorithm.md 3.7 KB
- references/cli-guide.md 3.2 KB
- references/troubleshooting.md 4.7 KB
- scripts/cli.R 3.6 KB
- scripts/cox_helpers.R 2.3 KB
- scripts/functions.R 4.3 KB
- scripts/io.R 484 B
- scripts/main.R 2.8 KB
- scripts/plotting.R 2.7 KB
- scripts/run_analysis.R 3.1 KB
- scripts/utils.R 2.5 KB
- scripts/validation.R 1.9 KB
- tests/data/sample_clinical_survival_data.csv 42 KB
- tests/expected_output/data/analysis_data.rds 4.4 KB
- tests/expected_output/plot/session_info.txt 1.6 KB
- tests/expected_output/session_info.txt 1.5 KB
- tests/expected_output/table/prognosis_multi_cox_results.xlsx 6.5 KB
- tests/expected_output/table/prognosis_uni_cox_results.xlsx 6.8 KB
- tests/run_smoke_test.R 2.4 KB
- tests/run_smoke_test.sh 127 B runs code
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 · 79 tokens per session scan A 58e3c73692b2
univariate-multivariable-cox-regression 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 2,767 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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