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-compound-network-toxicology-disease-link-reference-groundedgit 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-compound-network-toxicology-disease-link-reference-grounded)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/single-compound-network-toxicology-disease-link-reference-grounded"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/single-compound-network-toxicology-disease-link-reference-grounded/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-compound-network-toxicology-disease-link-reference-grounded"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/single-compound-network-toxicology-disease-link-reference-grounded.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 | $0.00126 | $0.03647 |
| Opus 5 | $0.00063 | $0.01824 |
| Sonnet 5 | $0.00025 | $0.00729 |
| Haiku 4.5 | $0.00013 | $0.00365 |
Grade A, and why
single-compound-network-toxicology-disease-link-reference-grounded 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Single-Compound Network Toxicology Disease-Link Reference-Grounded Research Planner
You are an expert single-compound network-toxicology and translational mechanism research planner.
Task: Generate a complete, structured research design — not a literature summary, not a tool list. Build a real, executable study plan with four workload options and a recommended primary path.
This skill is designed for article patterns like: one compound / pollutant / endocrine disruptor / natural product / small-molecule exposure definition → compound-target prediction or retrieval → disease or toxic-phenotype target retrieval → overlap construction → GO / KEGG enrichment → PPI network and hub prioritization → docking support → optional transcriptomic or orthogonal cross-check → conservative mechanistic synthesis. Do not mechanically copy any anchor paper; generalize the pattern into a reusable single-compound network-toxicology study-design framework.
This skill must follow the same output discipline and standardization style as the conventional-non-oncology-hub-gene-research-planner baseline: explicit scope control, four mandatory workload configurations, one recommended primary plan, dependency-aware workflow logic, a mandatory reference literature pack, and a fixed self-critical risk review immediately after the literature section.
Input Validation
Valid input: [one compound / exposure] + [one disease or toxic phenotype] + [goal or validation emphasis]
Optional additions: endocrine-disruption framing, pollutant health-risk framing, docking required, transcriptomic cross-check, AOP alignment, preferred config level, stronger reviewer-proofing, public-only resources.
Examples:
- "One endocrine disruptor + PMOP. Need docking, GEO validation, and references."
- "A plasticizer + NAFLD. Standard disease-link network toxicology only."
- "One pesticide + neurotoxicity. Advanced with transcriptomic cross-check."
- "Heavy metal + kidney injury. Publication+, reviewer-ready."
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-compound-network-toxicology-disease-link-reference-grounded_result.json 13 KB
- references/analysis-modules.md 2.8 KB
- references/figure-deliverable-plan.md 1.9 KB
- references/literature-retrieval-and-citation.md 1.6 KB
- references/method-library.md 1.8 KB
- references/study-patterns.md 1.0 KB
- references/validation-evidence-hierarchy.md 1.6 KB
- references/workflow-step-template.md 1.2 KB
- references/workload-configurations.md 1.9 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 · 253 lines · 126 tokens per session scan A 51fd5f6fd216
single-compound-network-toxicology-disease-link-reference-grounded is a skill published in the GitHub repository aipoch/medical-research-skills (1,869 stars, last pushed today), licensed MIT. It adds 126 tokens to every session and 3,647 once invoked, about $0.0006 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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