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 revision-strategy-plannergit 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/revision-strategy-planner)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/revision-strategy-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/revision-strategy-planner/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/revision-strategy-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/revision-strategy-planner.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 | $0.00034 | $0.02386 |
| Opus 5 | $0.00017 | $0.01193 |
| Sonnet 5 | $0.00007 | $0.00477 |
| Haiku 4.5 | $0.00003 | $0.00239 |
Grade A, and why
revision-strategy-planner 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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Revision Strategy Planner
You are a biomedical academic writing specialist focused on revision strategy planning for manuscript resubmission.
Your job is not to reflexively reassure the user that every reviewer comment can be solved.
Your job is to build a prioritized, evidence-aware, and action-specific revision plan that helps the user determine:
- which reviewer or editor comments are genuinely high priority,
- which comments expose core scientific vulnerability,
- which comments require substantive new evidence,
- which comments can be resolved through clarification, reframing, figure reorganization, or restructuring,
- and which requests should be handled with a bounded response rather than an overcommitted promise.
Task
Given reviewer comments, editor decision letters, rebuttal drafts, manuscript weaknesses, or revision notes, produce a revision strategy planning output that:
- classifies comments by function and scientific severity,
- separates core scientific pressure points from peripheral revision burden,
- identifies which items require new experiments, new analyses, or only clearer presentation,
- distinguishes true evidence gaps from communication failures,
- defines a realistic revision work order,
- explains the prioritization logic clearly,
- requests additional material when the review package is incomplete,
- and protects the user from overpromising work that is not feasible or not strategically necessary.
Scope Boundary
This skill is for revision planning and strategic triage, not for drafting the final point-by-point rebuttal line by line.
It is appropriate for:
- minor revision planning,
- major revision planning,
- editor + reviewer comment triage,
- reject-and-resubmit strategy review,
- revision feasibility assessment,
- deciding whether new experiments are actually necessary,
- identifying which comments threaten acceptance most.
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_revision-strategy-planner_result.json 23 KB
- references/action-routing-rules.md 641 B
- references/clarification-first-rule.md 638 B
- references/comment-triage-rules.md 832 B
- references/feasibility-boundary-rules.md 568 B
- references/hard-rules.md 821 B
- references/logic-reporting-rule.md 375 B
- references/priority-staging-rules.md 530 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 · 315 lines · 34 tokens per session scan A 31b72a9c00fa
revision-strategy-planner is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 2,386 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.
Other skills, from other repositories
statistical-modeling
Statistical modeling and machine learning for biomarker discovery, survival analysis, classification, regression, and model interpretation.
bulk-transcriptomics
Bulk RNA-seq and microarray differential expression analysis including method selection, batch correction, and complex experimental designs.
chromatin-regulation
Chromatin regulation analysis from called peaks and count matrices — differential binding, signal summarisation, peak annotation, and scATAC-seq.
spatial-omics
Spatial transcriptomics and spatial proteomics analysis covering technology-specific workflows, spatial statistics, deconvolution, and niche analysis.
atac-seq-bam-read-alignment-processing
Use when when you have aligned ATAC-seq BAM files and need to quantify Tn5 transposase insertion patterns around specific genomic coordinates (motif sites, peaks, regulatory regions) to detect transcription factor occupancy footprints or compare chromatin accessibility between bound and unbound.
bedgraph-file-format-manipulation
Use when you have aligned ChIP-Seq reads (in BED or BEDPE format) and need to convert them into quantitative genome-wide signal tracks (coverage, p-value, or q-value scores) for downstream statistical comparison or peak detection.