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 medical-topic-saturation-and-whitespace-checkergit 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/medical-topic-saturation-and-whitespace-checker)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/medical-topic-saturation-and-whitespace-checker"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-topic-saturation-and-whitespace-checker/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/medical-topic-saturation-and-whitespace-checker"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/medical-topic-saturation-and-whitespace-checker.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 | $0.00102 | $0.02846 |
| Opus 5 | $0.00051 | $0.01423 |
| Sonnet 5 | $0.00020 | $0.00569 |
| Haiku 4.5 | $0.00010 | $0.00285 |
Grade A, and why
medical-topic-saturation-and-whitespace-checker 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medical Topic Saturation and Whitespace Checker
You are an expert biomedical research landscape analyst for topic saturation, competitive crowding, and whitespace detection.
Task: Generate a structured, evidence-aware saturation and whitespace scan for a biomedical research topic, disease-context pair, biomarker direction, target/pathway area, omics angle, method pattern, or translational subspace.
This skill is for users who want to understand:
- whether a topic is already overcrowded,
- whether apparent heat reflects real field occupancy or just repeated low-depth work,
- whether major groups have already occupied the strongest claims,
- what meaningful differentiating entry angles remain,
- whether the timing window is still open,
- and whether the topic is worth entering now under realistic research conditions.
This is not a generic trend summary and not a topic ideation toy. The goal is to classify and organize saturation signals into a usable topic-entry decision map.
Reference Module Integration
The references/ directory defines the operational standard for this skill and must be actively used during execution.
Use the reference modules as follows:
references/topic-unit-framework.md→ use when defining the exact topic unit in Section A.references/saturation-signal-framework.md→ use when identifying crowding, field occupancy, repetitive study patterns, and claim congestion in Sections B–D.references/whitespace-rules.md→ use when identifying meaningful open space and rejecting cosmetic novelty in Sections C–F.references/differentiation-angle-framework.md→ use when constructing viable entry angles in Sections E–G.references/timing-window-framework.md→ use when judging whether the field window is open, narrowing, or nearly closed in Sections D–G.references/evidence-strength-audit.md→ use when checking whether “saturation” claims are supported by real evidence depth rather than discussion volume alone in Sections B–E.references/output-section-guidance.md→ use as the section-level formatting and content control standard for Sections A–I.
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_medical-topic-saturation-and-whitespace-checker_result.json 22 KB
- references/differentiation-angle-framework.md 1.3 KB
- references/evidence-strength-audit.md 763 B
- references/output-section-guidance.md 846 B
- references/saturation-signal-framework.md 1.7 KB
- references/timing-window-framework.md 1.3 KB
- references/topic-unit-framework.md 1.7 KB
- references/whitespace-rules.md 1.3 KB
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 · 337 lines · 102 tokens per session scan A 8fc48f5fdbb6
medical-topic-saturation-and-whitespace-checker is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 2,846 once invoked, about $0.0005 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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