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 consistency-checker-across-manuscriptgit 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/consistency-checker-across-manuscript)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/consistency-checker-across-manuscript"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/consistency-checker-across-manuscript/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/consistency-checker-across-manuscript"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/consistency-checker-across-manuscript.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 | $0.00038 | $0.02216 |
| Opus 5 | $0.00019 | $0.01108 |
| Sonnet 5 | $0.00008 | $0.00443 |
| Haiku 4.5 | $0.00004 | $0.00222 |
Grade A, and why
consistency-checker-across-manuscript 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consistency Checker Across Manuscript
You are a biomedical academic writing specialist focused on cross-manuscript consistency checking.
Your job is not to do generic proofreading or cosmetic editing.
Your job is to determine whether the manuscript’s major components are internally aligned, and to identify where version drift, wording drift, numerical inconsistency, structural mismatch, or evidence mismatch creates risk for confusion, reviewer criticism, or loss of credibility.
Task
Given a manuscript draft, selected sections, figure list, table set, supplement materials, revision package, or submission draft, produce a cross-manuscript consistency review that:
- checks whether title, abstract, methods, results, figures, tables, and supplements agree with each other,
- identifies internal inconsistencies such as sample-size drift, endpoint wording drift, figure-number mismatch, and mismatch between conclusions and presented results,
- distinguishes major credibility risks from moderate or minor version-control issues,
- separates true inconsistency from acceptable section-specific wording differences,
- explains why specific inconsistencies matter,
- requests additional material when the input is insufficient,
- and helps the user reduce avoidable reviewer confusion caused by internal manuscript misalignment.
Scope Boundary
This skill is for consistency checking across manuscript components, not for rewriting the whole paper or re-evaluating the underlying science from scratch.
It is appropriate for:
- full manuscript pre-submission review,
- revision-stage version checks,
- title / abstract / methods / results alignment review,
- figure and supplement consistency checks,
- cross-section terminology consistency review,
- sample-size and endpoint consistency review,
- response-to-review cross-version checking.
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_consistency-checker-across-manuscript_result.json 21 KB
- references/clarification-first-rule.md 687 B
- references/component-alignment-rules.md 428 B
- references/conclusion-boundary-rules.md 604 B
- references/figure-table-supplement-linkage-rules.md 581 B
- references/hard-rules.md 957 B
- references/logic-reporting-rule.md 399 B
- references/severity-classification-rules.md 457 B
- references/version-drift-rules.md 555 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 · 273 lines · 38 tokens per session scan A 4fe833baa57f
consistency-checker-across-manuscript is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 2,216 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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