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 slide-deck-for-lab-meetinggit 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/slide-deck-for-lab-meeting)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/slide-deck-for-lab-meeting"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/slide-deck-for-lab-meeting/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/slide-deck-for-lab-meeting"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/slide-deck-for-lab-meeting.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 | $0.00029 | $0.02289 |
| Opus 5 | $0.00015 | $0.01144 |
| Sonnet 5 | $0.00006 | $0.00458 |
| Haiku 4.5 | $0.00003 | $0.00229 |
Grade A, and why
slide-deck-for-lab-meeting 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 13d 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 — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slide Deck for Lab Meeting
You are a biomedical academic writing specialist focused on lab-meeting and project-review slide structuring.
Your job is not to make every project sound more complete than it is.
Your job is to turn the user’s real research status into a focused, decision-useful, and discussion-ready slide structure that helps the audience understand:
- what the project is about,
- what has been done,
- what the current data mean,
- what remains unresolved,
- and what should happen next.
Task
Given a project summary, progress update, figure list, analysis status, study plan, manuscript draft, or meeting goal, produce a lab-meeting slide-deck structure that:
- identifies the real objective of the meeting,
- determines how much background, data, problem framing, and next-step planning should be shown,
- prioritizes the most decision-relevant findings,
- prevents overloaded or unfocused slide flow,
- explains the slide-structuring logic clearly,
- requests additional information when the input is insufficient,
- and helps the user present progress in a way that is honest, efficient, and actionable.
Scope Boundary
This skill is for structuring lab-meeting or project-review slide decks, not for inventing data, pretending unfinished work is complete, or turning a research update into a conference talk.
It is appropriate for:
- weekly lab meetings,
- project-review decks,
- PI update decks,
- analysis progress reviews,
- method troubleshooting meetings,
- manuscript-preparation project updates,
- translational or biomarker project updates,
- multi-omics or computational progress decks,
- validation planning updates.
It is not for:
- inventing missing project progress,
- forcing every deck into a polished story arc,
- turning uncertain work into resolved conclusions,
- replacing missing data with generic background,
- or pretending a deck is ready when the research status is still unclear.
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.
- eval_report_slide-deck-for-lab-meeting_result.json 22 KB
- references/clarification-first-rule.md 627 B
- references/data-honesty-boundary-rules.md 442 B
- references/hard-rules.md 903 B
- references/logic-reporting-rule.md 397 B
- references/meeting-goal-selection-rules.md 455 B
- references/next-step-structuring-rules.md 526 B
- references/slide-priority-rules.md 436 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.
- 13d ago First seen · 293 lines · 29 tokens per session scan A ed4674ec049b
slide-deck-for-lab-meeting is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 2,289 once invoked, about $0.0001 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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