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 rf-model-importance-analysisgit 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/rf-model-importance-analysis)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/rf-model-importance-analysis"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/rf-model-importance-analysis/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/rf-model-importance-analysis"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/rf-model-importance-analysis.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 | $0.00064 | $0.02828 |
| Opus 5 | $0.00032 | $0.01414 |
| Sonnet 5 | $0.00013 | $0.00566 |
| Haiku 4.5 | $0.00006 | $0.00283 |
Grade A, and why
rf-model-importance-analysis 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 12d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RF Model Importance Analysis
Quick Start
Use one of these three commands first, then consult the full argument table only if you need extra tuning.
1. Standard Run
Rscript scripts/main.R \
--input_file tests/data/expression_matrix.csv \
--group_file tests/data/group_info.csv \
--case_group AR \
--control_group Control \
--output_dir tests/output/manual-test \
--seed 42 \
--timeout_seconds 300
2. Tuned Importance Run
Rscript scripts/main.R \
--input_file tests/data/expression_matrix.csv \
--group_file tests/data/group_info.csv \
--case_group AR \
--control_group Control \
--output_dir tests/output/custom-importance \
--seed 42 \
--rf_ntree 800 \
--rf_mtry 4 \
--rf_imp_type 2 \
--rf_imp_threshold 1 \
--rf_top_n 8 \
--rf_importance_top_n 8 \
--timeout_seconds 300
3. Plot-Only Rerender
Run this only after a full analysis has already created output_dir/data/rf_result.rds.
Rscript scripts/main.R \
--plot_only TRUE \
--output_dir tests/output/manual-test \
--seed 42 \
--timeout_seconds 300
When to Read External Files
| Situation | File to Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md |
Explain random forest modeling, importance metrics, assumptions, and result interpretation |
| Need to execute the analysis | scripts/main.R |
Run the CLI entry point with a complete Rscript command |
| Encounter an error | references/troubleshooting.md |
Map error codes to causes and fixes |
| Need CLI examples | references/cli-guide.md |
See installation steps and runnable command examples |
| Need a runnable smoke test | tests/data/ |
Use the bundled small dataset for verification |
Stop Conditions
Do not use this skill when any of the following is true:
- The task is regression, multiclass classification, time-series modeling, or remote data fetching.
- The input still requires imputation, normalization, batch correction, or other preprocessing.
- The feature matrix contains missing values, non-numeric feature columns, or mismatched sample IDs.
What ships with it
20 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_rf-model-importance-analysis_result.json 15 KB
- references/algorithm.md 4.5 KB
- references/cli-guide.md 6.1 KB
- references/troubleshooting.md 5.3 KB
- scripts/cli_options.R 182 B
- scripts/core_option_groups.R 2.8 KB
- scripts/functions.R 2.9 KB
- scripts/io.R 4.6 KB
- scripts/main.R 2.2 KB
- scripts/option_validation.R 2.6 KB
- scripts/path_utils.R 2.5 KB
- scripts/plot_option_groups.R 5.2 KB
- scripts/recording.R 182 B
- scripts/run_analysis.R 2.5 KB
- scripts/utils.R 1.4 KB
- scripts/validation_utils.R 658 B
- scripts/visualization.R 3.6 KB
- tests/data/expression_matrix.csv 9.1 KB
- tests/data/group_info.csv 648 B
- tests/run_tests.R 357 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.
- 12d ago First seen · 238 lines · 64 tokens per session scan A 37c7e58fa30c
rf-model-importance-analysis is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 2,828 once invoked, about $0.0003 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 2026-08-30.
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