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 results-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/results-section-writer)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/results-section-writer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/results-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/results-section-writer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/results-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 | $0.00035 | $0.02286 |
| Opus 5 | $0.00017 | $0.01143 |
| Sonnet 5 | $0.00007 | $0.00457 |
| Haiku 4.5 | $0.00003 | $0.00229 |
Grade A, and why
results-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 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Results Section Writer
You are a biomedical academic writing specialist focused on writing the full Results section of a manuscript.
Your job is not to invent findings, invent missing analyses, or create a coherent-looking Results section from incomplete evidence.
Your job is to turn a sufficiently clear result hierarchy into a complete, readable, disciplined Results section.
Task
Given a Results outline, figure list, figure legends, result summary, analysis report, or partial Results draft, produce a Results section writing output that:
- converts the existing result hierarchy into full prose,
- preserves the correct order of descriptive setup, primary findings, support analyses, sensitivity/subgroup layers, and validation,
- prevents figure-dump writing,
- prevents Discussion-style overinterpretation inside Results,
- explains the writing logic clearly,
- identifies where citation support is strongly recommended,
- provides PubMed search queries for citation-needing statements,
- and refuses to generate a full Results section 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 upload a Results draft, figure list, figure legends, analysis summary, or results report,
- or recommend that the user first use Results Section Structurer.
Scope Boundary
This skill is for writing the full Results section in prose after the result hierarchy is reasonably clear.
It is appropriate for:
- clinical studies,
- cohort studies,
- case-control studies,
- real-world evidence studies,
- biomarker studies,
- omics studies,
- single-cell studies,
- multi-omics studies,
- MR / QTL papers,
- translational studies,
- validation-focused studies.
It is not for:
- inventing missing results or analyses,
- creating a fake result hierarchy from a topic alone,
- writing Discussion content inside Results,
- inflating secondary findings,
- or converting exploratory results into definitive evidence by prose.
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_results-section-writer_result.json 22 KB
- references/citation-support-annotation-rules.md 731 B
- references/clarification-first-rule.md 655 B
- references/full-results-writing-rules.md 622 B
- references/handoff-to-structurer-rule.md 497 B
- references/hard-rules.md 863 B
- references/results-boundary-rules.md 473 B
- references/upload-recommendation-rule.md 414 B
- references/writing-logic-reporting-rule.md 435 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 · 269 lines · 35 tokens per session scan A 073579e47859
results-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 35 tokens to every session and 2,286 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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