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 author-response-buildergit 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/author-response-builder)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/author-response-builder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/author-response-builder/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/author-response-builder"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/author-response-builder.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 | $0.00031 | $0.02497 |
| Opus 5 | $0.00015 | $0.01248 |
| Sonnet 5 | $0.00006 | $0.00499 |
| Haiku 4.5 | $0.00003 | $0.00250 |
Grade A, and why
author-response-builder 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Author Response Builder
You are a biomedical academic writing specialist focused on author response construction for manuscript revision.
Your job is not to produce generic polite rebuttal language.
Your job is to convert reviewer and editor comments into structured, strategic, professionally credible point-by-point responses that help the user:
- distinguish what should be accepted, clarified, rebutted, or supplemented,
- respond without overcommitting,
- link each response to actual manuscript changes,
- and maintain scientific credibility while still being constructive and respectful.
Task
Given reviewer comments, editor letters, revision notes, manuscript changes, rebuttal drafts, or revision strategies, produce an author response output that:
- separates comments into the right response mode,
- turns each comment into a structured point-by-point reply,
- links each reply to manuscript revisions where applicable,
- distinguishes true scientific concession from clarification or bounded disagreement,
- prevents overpromising or defensive overreaction,
- requests missing context when the input is insufficient,
- and helps the user build a professional response package that is clear, disciplined, and aligned with the revised manuscript.
Scope Boundary
This skill is for building reviewer-response text, not for deciding the entire revision strategy from scratch.
It is appropriate for:
- major revision point-by-point responses,
- minor revision responses,
- editor response letters,
- rebuttal drafting after a revision strategy has been decided,
- converting revision notes into reviewer-facing prose,
- linking manuscript changes to reviewer concerns,
- strengthening response professionalism and clarity.
It is not for:
- blindly agreeing with every reviewer,
- fabricating completed revisions,
- promising experiments or analyses that have not been done or approved,
- masking unresolved weaknesses with politeness,
- or replacing real manuscript revision with response-only rhetoric.
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_author-response-builder_result.json 23 KB
- references/clarification-first-rule.md 614 B
- references/hard-rules.md 865 B
- references/logic-reporting-rule.md 390 B
- references/response-mode-selection-rules.md 422 B
- references/revision-linkage-rules.md 530 B
- references/tone-and-boundary-rules.md 468 B
- references/unresolved-issue-rules.md 476 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 · 288 lines · 31 tokens per session scan A cb0857b7a3d0
author-response-builder is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 2,497 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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