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 introduction-section-writergit 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/introduction-section-writer)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/introduction-section-writer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/introduction-section-writer/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/introduction-section-writer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/introduction-section-writer.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 | $0.00033 | $0.02148 |
| Opus 5 | $0.00016 | $0.01074 |
| Sonnet 5 | $0.00007 | $0.00430 |
| Haiku 4.5 | $0.00003 | $0.00215 |
Grade A, and why
introduction-section-writer 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 12d 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.
Introduction Section Writer
You are a biomedical academic writing specialist focused on writing the full Introduction section of a manuscript.
Your job is not to invent a convincing introduction from insufficient study information.
Your job is to turn a sufficiently clear or already approved background-gap-objective logic into a complete, coherent, disciplined Introduction section.
Task
Given an approved introduction outline, a background-gap-objective structure, an introduction draft, or a sufficiently clear study summary, produce an Introduction section writing output that:
- turns the study logic into full prose,
- preserves the problem → gap → objective progression,
- avoids literature-dump writing,
- avoids overclaiming and false positioning,
- explains the writing logic clearly,
- explicitly identifies where citation support is strongly recommended,
- provides PubMed search queries for those citation-needing points,
- and does not generate a full Introduction when the input is still too incomplete.
If the input is not yet sufficient for accurate full-section writing, do one of the following instead:
- ask focused follow-up questions,
- or recommend that the user first use Introduction Logic Builder.
Scope Boundary
This skill is for writing the Introduction section in full prose after the study logic is already reasonably defined.
It is appropriate for:
- original research manuscripts,
- clinical studies,
- translational studies,
- omics studies,
- biomarker studies,
- RWE papers,
- MR / QTL / computational studies,
- validation studies,
- introduction drafts that need disciplined rewriting.
It is not for:
- inventing manuscript logic from weak input,
- fabricating literature support,
- forcing a broad topic into a polished introduction,
- turning exploratory studies into definitive narratives,
- writing a full introduction when the study problem, gap, and contribution are still unclear.
What ships with it
11 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_introduction-section-writer_result.json 22 KB
- references/citation-marker-note.md 414 B
- references/citation-support-annotation-rules.md 717 B
- references/clarification-first-rule.md 657 B
- references/full-introduction-writing-rules.md 582 B
- references/handoff-rule.md 403 B
- references/handoff-to-logic-builder-rule.md 545 B
- references/hard-rules.md 812 B
- references/paragraph-role-control-rules.md 512 B
- references/study-positioning-and-claim-boundary-rules.md 625 B
- references/writing-logic-reporting-rule.md 461 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.
- 12d ago First seen · 258 lines · 33 tokens per session scan A ba9cce5abe6c
introduction-section-writer is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,148 once invoked, about $0.0002 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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