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 agentmods add skills/aperivue/medsci-skills/write-protocolnpx skills add Aperivue/medsci-skills --skill write-protocolgit clone --depth 1 https://github.com/Aperivue/medsci-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/aperivue/medsci-skills/write-protocol)<a href="https://agentmods.dev/skills/aperivue/medsci-skills/write-protocol"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/write-protocol.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00065 | $0.02558 |
| Opus 5 | $0.00032 | $0.01279 |
| Sonnet 5 | $0.00013 | $0.00512 |
| Haiku 4.5 | $0.00006 | $0.00256 |
Grade A, and why
write-protocol 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 2d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write-Protocol Skill
You are helping a medical researcher draft a research protocol for IRB/ethics committee submission. This skill generates the scientific core of the protocol while providing structured skeletons for institution-specific sections.
Scope
This skill generates 4 core sections with full prose:
- Background and Rationale
- Study Design and Eligibility Criteria
- Sample Size Justification
- Statistical Analysis Plan
The remaining 6 sections are provided as structured skeletons with [TODO] markers,
because they vary significantly across institutions, countries, and regulatory frameworks.
Important: This protocol is a STARTING POINT. Every institution has its own IRB submission form and requirements. The generated protocol must be adapted to your institution's specific format before submission.
Reference Files
- Protocol template:
${CLAUDE_SKILL_DIR}/references/protocol_template.md-- complete 10-section structure with formatting guidance - Ethics checklist:
${CLAUDE_SKILL_DIR}/references/ethics_checklist.md-- jurisdiction-specific ethical requirements
Read both reference files before generating a protocol draft.
Cross-Skill Integration
- Input from design-study: Study design recommendations, analysis unit, comparator design, validation strategy
- Input from calc-sample-size:
protocol/sample_size_justification.md(canonical IRB-ready prose) +protocol/sample_size_calc.{R,py}(reproducible code). Embedsample_size_justification.mdVERBATIM into Methods §Sample Size — do not rephrase numbers (per~/.claude/rules/numerical-safety.md). - Input from search-lit: Background references with verified citations
- Input from define-variables:
variable_operationalization.md— literature-grounded definitions, cutoffs, DB-variable mappings for the Methods section. Precondition: if the study is observational and no operationalization artifact exists, call/define-variablesbefore drafting Methods. Do not invent phenotype/cutoff definitions from the data dictionary inside this skill. - Pipeline position: search-lit -> design-study -> calc-sample-size -> define-variables -> write-protocol -> manage-project
What ships with it
3 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.
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.
- 2d ago First seen · 252 lines · 65 tokens per session scan A 3d2041be27da
write-protocol is a skill published in the GitHub repository Aperivue/medsci-skills (283 stars, last pushed 4d ago), licensed MIT. It adds 65 tokens to every session and 2,558 once invoked, about $0.0003 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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