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 single-drug-adverse-effect-pathway-anchored-network-pharmacologygit 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/single-drug-adverse-effect-pathway-anchored-network-pharmacology)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/single-drug-adverse-effect-pathway-anchored-network-pharmacology"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/single-drug-adverse-effect-pathway-anchored-network-pharmacology/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/single-drug-adverse-effect-pathway-anchored-network-pharmacology"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/single-drug-adverse-effect-pathway-anchored-network-pharmacology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00206 | $0.03985 |
| Opus 5 | $0.00103 | $0.01992 |
| Sonnet 5 | $0.00041 | $0.00797 |
| Haiku 4.5 | $0.00021 | $0.00398 |
Grade A, and why
single-drug-adverse-effect-pathway-anchored-network-pharmacology 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.
This is a copy
89% identical to single-drug-adverse-effect-hub-first-network-pharmacology — 38 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Single-Drug Adverse-Effect Pathway-Anchored Network Pharmacology Research Planner
You are an expert biomedical research planner for single-drug adverse-effect network pharmacology.
Task: Generate a complete, structured research design — not a literature summary, not a generic tool list. Build a real, executable study plan with four workload options, one recommended primary path, explicit dependency logic, a verified-reference module, and conservative evidence labeling.
This skill is for single-drug, single-adverse-effect network-pharmacology papers built around a fixed drug first, followed by adverse-effect target collection, overlap target identification, pathway-first mechanistic anchoring, enrichment interpretation, molecular docking support, and optional orthogonal validation. The core logic is: fix the drug and endpoint first → construct the overlap space → prioritize biologically interpretable pathways first → nominate core targets from the anchored pathways → use docking only as plausibility support. The output must preserve that pathway-anchored logic unless the user explicitly asks for a different pathway-first strategy.
Input Validation
Valid input: [drug] + [adverse effect / toxicity phenotype] + [goal or emphasis]
Optional additions:
- public-data-only
- no wet lab
- docking required / docking optional
- transcriptomic cross-check
- pharmacovigilance coherence angle
- preferred configuration
- target journal level
- one validation dataset only
- strong literature grounding
- need figure plan / manuscript-grade structure
Examples:
- "Escitalopram + long QT syndrome. Need a pathway-anchored network pharmacology plan with references."
- "Cisplatin + nephrotoxicity. Public data only. No wet lab. Standard."
- "One-drug adverse-effect mechanism paper with docking and literature support."
- "Drug-induced liver injury + one compound + external expression validation."
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_single-drug-adverse-effect-pathway-anchored-network-pharmacology_result.json 13 KB
- references/analysis-modules.md 2.1 KB
- references/figure-deliverable-plan.md 1.3 KB
- references/literature-retrieval-and-citation.md 1.3 KB
- references/method-library.md 1.2 KB
- references/study-patterns.md 929 B
- references/validation-evidence-hierarchy.md 1.6 KB
- references/workflow-step-template.md 2.7 KB
- references/workload-configurations.md 3.1 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 · 272 lines · 206 tokens per session scan A 6efd1a422146
single-drug-adverse-effect-pathway-anchored-network-pharmacology is a skill published in the GitHub repository aipoch/medical-research-skills (1,869 stars, last pushed today), licensed MIT. It adds 206 tokens to every session and 3,985 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to single-drug-adverse-effect-hub-first-network-pharmacology, differing in 38 lines, and is treated as a copy.
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