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 Aperivue/medsci-skills --skill replicate-studygit 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/replicate-study)<a href="https://agentmods.dev/skills/aperivue/medsci-skills/replicate-study"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/replicate-study/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/aperivue/medsci-skills/replicate-study"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/replicate-study.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 6 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00049 | $0.01618 |
| Opus 5.5 | $0.00020 | $0.00647 |
| Sonnet 5.5 | $0.00010 | $0.00324 |
| Haiku 4.5 | $0.00005 | $0.00162 |
Grade A, and why
replicate-study 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 24d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Replicate Study Skill
Apply a published study's methodology to a different database and report every place the target database forced a deviation.
Inputs
- Source paper: PDF, DOI, or markdown of the paper to replicate
- Target database path: CSV/SAS data file(s) to use
- Harmonization table (optional): CSV mapping source → target variables
- Default:
${CLAUDE_SKILL_DIR}/references/harmonization_knhanes_nhanes.csv(if KNHANES↔NHANES)
- Default:
Reference Files
${CLAUDE_SKILL_DIR}/references/methodology_extraction_template.md— checklist for extracting study design${CLAUDE_SKILL_DIR}/references/harmonization_knhanes_nhanes.csv— KNHANES↔NHANES variable mapping (67 rows)${CLAUDE_SKILL_DIR}/references/harmonization_3country.csv— KNHANES+NHANES+CHNS 3-country mapping (46 rows)- Upstream templates (read on demand):
${CLAUDE_SKILL_DIR}/../write-paper/references/paper_types/nhis_cohort.md${CLAUDE_SKILL_DIR}/../write-paper/references/paper_types/cross_national.md${CLAUDE_SKILL_DIR}/../analyze-stats/references/analysis_guides/survey_weighted.md${CLAUDE_SKILL_DIR}/../analyze-stats/references/analysis_guides/propensity_score.md
Workflow
Phase 1: Source Paper Analysis
- Read the source paper (PDF → text, or markdown).
- Extract the methodology by filling
methodology_extraction_template.md: study design, database (name, country, years, N), population (inclusion/exclusion, age range), exposure and outcome (variable, definition, coding), covariates with definitions, statistical methods (regression type, adjustment models, subgroup analyses), survey design (weights, strata, PSU), and every sensitivity analysis. - Outdated source definitions: if the source used a pre-2023 definition that has since been
superseded (e.g., NAFLD → MASLD 2023, CKD-EPI 2009 → 2021 race-free), call
/define-variablesto cross-check whether to mirror the legacy definition (pure replication) or upgrade to the current one (extension). Record the choice in the difference report. - Output: structured extraction summary for user review.
What ships with it
7 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.
- references/harmonization_3country.csv 12 KB
- references/harmonization_knhanes_nhanes.csv 12 KB
- references/methodology_extraction_template.md 3.1 KB
- skill.yml 1.4 KB
- tests/fixtures/main_alcohol_rows/harmonization_3country.csv 516 B
- tests/fixtures/main_alcohol_rows/harmonization_knhanes_nhanes.csv 404 B
- tests/test_alcohol_harmonization.py 5.6 KB runs code
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.
- 24d ago Changed · -25 lines · +1 tokens per session b1f3d1b6092f
- 1mo ago First seen · 151 lines · 48 tokens per session scan A dde8b68fa33c
replicate-study is a skill published in the GitHub repository Aperivue/medsci-skills (349 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 1,618 once invoked, about $0.0002 per session on Opus 5.5. 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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