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 labarchive-integrationgit 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/labarchive-integration)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/labarchive-integration"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/labarchive-integration/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/labarchive-integration"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/labarchive-integration.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 | $0.00065 | $0.01354 |
| Opus 5 | $0.00032 | $0.00677 |
| Sonnet 5 | $0.00013 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00135 |
Grade A, and why
labarchive-integration 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LabArchives Integration
This skill is an Academic Writing workflow built around LabArchives evidence. Its goal is not just API access, but turning authorized ELN material into manuscript-ready writing deliverables.
When to Use
- The user has LabArchives notebook content and needs a Methods draft grounded in recorded procedures.
- The user needs a data availability statement, reproducibility appendix, experiment timeline, or submission support summary based on ELN records.
- The user wants to gather authorized notebook data first, then convert it into academic writing outputs.
- The user needs a deterministic evidence-to-writing workflow instead of freeform summarization.
When Not to Use
- The user asks for unauthorized access to notebooks or other users' data.
- The user wants clinical recommendations, diagnosis, or treatment language.
- The user asks you to fabricate notebook records, timestamps, protocol details, or compliance statements that are not present in the source.
- The user has no authorized export, no notebook metadata, and no textual record to ground the writing output.
Primary Writing Outputs
This skill supports these deliverables:
- Methods Draft Based on notebook entries, protocols, instrument logs, and sample-processing notes
- Data Availability Statement Based on notebook identifiers, repository links, export status, and sharing constraints
- Reproducibility Appendix Based on protocol versions, software environments, parameter logs, and file provenance
- Experiment Timeline Summary Based on dated entries, milestones, and decision points
- Submission Support Note Based on notebook scope, audit trail, and documentation completeness
Authorized Input Sources
Use one or more of:
- exported notebook text or JSON
- manually pasted LabArchives entry content
- protocol summaries
- experiment metadata tables
- authorized backup output from bundled scripts
What ships with it
8 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.
- assets/writing_outputs_template.md 573 B
- labarchive-integration_audit_result_v1.json 12 KB
- references/api_reference.md 8.8 KB
- references/authentication_guide.md 11 KB
- references/integrations.md 13 KB
- scripts/entry_operations.py 8.1 KB runs code
- scripts/notebook_operations.py 6.8 KB runs code
- scripts/setup_config.py 3.3 KB 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 · 209 lines · 65 tokens per session scan A 8a1f9a9acc9a
labarchive-integration is a skill published in the GitHub repository aipoch/medical-research-skills (1,869 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 1,354 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 2026-09-03.
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