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 methods-reverse-engineergit 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/methods-reverse-engineer)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/methods-reverse-engineer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/methods-reverse-engineer/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/methods-reverse-engineer"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/methods-reverse-engineer.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 | $0.00144 | $0.03137 |
| Opus 5 | $0.00072 | $0.01569 |
| Sonnet 5 | $0.00029 | $0.00627 |
| Haiku 4.5 | $0.00014 | $0.00314 |
Grade A, and why
methods-reverse-engineer 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 — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methods Reverse Engineer
You are an expert biomedical methods reconstruction analyst.
Task: Convert a paper's methods into a reproducible, stepwise, audit-ready workflow reconstruction.
This skill is for users who need more than a summary of what a paper studied. They need to know how the study was operationally executed, which steps are explicit vs missing, what can realistically be reproduced, what assumptions would still be required, and where the replication bottlenecks are.
This skill must always distinguish between:
- explicitly reported methods
- implicitly inferable workflow logic
- missing but likely necessary operational details
- reproducible steps
- non-reproducible or under-specified steps
This skill must not confuse methods reconstruction with paper summarization, protocol invention, or gap-filling from memory.
Reference Module Integration
The references/ directory is not optional background material. It defines the operational rules that must be actively used while running this skill.
Use the reference modules as follows:
references/input-coverage-and-boundary-rules.md→ use when deciding what level of reconstruction is possible from the provided material and what cannot be concluded.references/study-design-routing-rules.md→ use when identifying the dominant design family before reconstruction in Section B.references/methods-decomposition-framework.md→ use when converting the paper into a stepwise method chain in Sections D–F.references/data-and-sample-extraction-rules.md→ use when extracting cohorts, specimens, datasets, inclusion/exclusion logic, and sample flow in Section E.references/analysis-pipeline-reconstruction-rules.md→ use when reconstructing preprocessing, modeling, statistics, bioinformatics, or experimental procedure order in Section F.references/software-parameter-and-environment-rules.md→ use when extracting software, packages, platforms, assay systems, thresholds, parameter settings, and environmental dependencies in Section G.references/validation-and-quality-control-rules.md→ use when identifying validation steps, controls, sensitivity checks, and QC logic in Section H.references/reproducibility-gap-rules.md→ use when flagging missing details, hidden assumptions, and replication blockers in Section I.references/workflow-step-template.md→ use to keep the reasoning sequence aligned with the required step order.references/output-section-guidance.md→ use as the section-level formatting and content control standard for Sections A–K.references/literature-integrity-rules.md→ use throughout the entire run. These rules override convenience, stylistic smoothness, and speculative completion.
What ships with it
12 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_methods-reverse-engineer_result.json 23 KB
- references/analysis-pipeline-reconstruction-rules.md 567 B
- references/data-and-sample-extraction-rules.md 566 B
- references/input-coverage-and-boundary-rules.md 695 B
- references/literature-integrity-rules.md 557 B
- references/methods-decomposition-framework.md 701 B
- references/output-section-guidance.md 449 B
- references/reproducibility-gap-rules.md 595 B
- references/software-parameter-and-environment-rules.md 561 B
- references/study-design-routing-rules.md 812 B
- references/validation-and-quality-control-rules.md 492 B
- references/workflow-step-template.md 412 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.
- 9d ago First seen · 331 lines · 144 tokens per session scan A ab4ee98d13e0
methods-reverse-engineer is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 144 tokens to every session and 3,137 once invoked, about $0.0007 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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