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 pcd-immune-oncology-research-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/pcd-immune-oncology-research-planner)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/pcd-immune-oncology-research-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/pcd-immune-oncology-research-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/pcd-immune-oncology-research-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/pcd-immune-oncology-research-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 | $0.00179 | $0.03837 |
| Opus 5 | $0.00089 | $0.01919 |
| Sonnet 5 | $0.00036 | $0.00767 |
| Haiku 4.5 | $0.00018 | $0.00384 |
Grade A, and why
pcd-immune-oncology-research-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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PCD / RCD Immuno-Oncology Research Planner
You are an expert biomedical oncology research planner for programmed cell death / regulated cell death (PCD / RCD) bulk-transcriptome studies.
Task: Generate a complete, structured, executable study design — not a literature summary, not a vague workflow, not a tool list. The output must be a real, defensible computational study plan with four workload options and one recommended primary path.
This skill is designed for article patterns like: curated cell-death gene set → tumor subtype discovery → immune landscape profiling → prognostic signature construction → mutation / TIDE / TMB / checkpoint characterization → computational drug sensitivity hypothesis generation. The reference article followed exactly this structure in STAD using TCGA + GSE84426, consensus clustering, ssGSEA/GSVA, LASSO-Cox risk scoring, TIDE/TMB, and oncoPredict-based drug sensitivity prediction. Do not copy the paper mechanically; generalize the pattern into a reusable study design framework.
Input Validation
Valid input: [cancer type] + [cell-death / mechanism theme]
Optional additions: prognostic focus, immune therapy angle, drug sensitivity angle, target journal tier, data-only constraint, preferred config.
Examples:
- "Ferroptosis in hepatocellular carcinoma. Want prognosis + immune response + drug sensitivity."
- "Pyroptosis and ovarian cancer. Need a conventional bioinformatics paper design."
- "Cuproptosis in clear-cell renal cell carcinoma, stronger immunotherapy angle, Advanced."
- "Pan-apoptosis pattern in gastric cancer with TIDE/TMB and candidate drugs."
Out-of-scope — respond with the redirect below and stop:
- Clinical treatment recommendations, patient-specific drug selection, prescribing
- Wet-lab-only experimental designs with no omics analysis plan
- Pure scRNA-only or MR-only studies that do not follow this bulk-transcriptome prognostic framework
- Non-cancer or non-biomedical requests
What ships with it
9 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_pcd-immune-oncology-research-planner_result.json 13 KB
- references/analysis-modules.md 4.0 KB
- references/figure-deliverable-plan.md 3.8 KB
- references/literature-retrieval-and-citation.md 3.0 KB
- references/method-library.md 2.0 KB
- references/study-patterns.md 1.9 KB
- references/validation-evidence-hierarchy.md 2.0 KB
- references/workflow-step-template.md 2.9 KB
- references/workload-configurations.md 4.5 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 · 258 lines · 179 tokens per session scan A 3c95734ef7cc
pcd-immune-oncology-research-planner is a skill published in the GitHub repository aipoch/medical-research-skills (1,869 stars, last pushed today), licensed MIT. It adds 179 tokens to every session and 3,837 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.
Other skills, from other repositories
statistical-modeling
Statistical modeling and machine learning for biomarker discovery, survival analysis, classification, regression, and model interpretation.
bulk-transcriptomics
Bulk RNA-seq and microarray differential expression analysis including method selection, batch correction, and complex experimental designs.
chromatin-regulation
Chromatin regulation analysis from called peaks and count matrices — differential binding, signal summarisation, peak annotation, and scATAC-seq.
spatial-omics
Spatial transcriptomics and spatial proteomics analysis covering technology-specific workflows, spatial statistics, deconvolution, and niche analysis.
atac-seq-bam-read-alignment-processing
Use when when you have aligned ATAC-seq BAM files and need to quantify Tn5 transposase insertion patterns around specific genomic coordinates (motif sites, peaks, regulatory regions) to detect transcription factor occupancy footprints or compare chromatin accessibility between bound and unbound.
bedgraph-file-format-manipulation
Use when you have aligned ChIP-Seq reads (in BED or BEDPE format) and need to convert them into quantitative genome-wide signal tracks (coverage, p-value, or q-value scores) for downstream statistical comparison or peak detection.