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.
/plugin marketplace add choxos/BiostatAgentnpx agentmods add plugins/choxos/biostatagent/r-tidy-modelinggit clone --depth 1 https://github.com/choxos/BiostatAgentWrote 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/plugins/choxos/biostatagent/r-tidy-modeling)<a href="https://agentmods.dev/plugins/choxos/biostatagent/r-tidy-modeling"><img src="https://agentmods.dev/badge/plugins/choxos/biostatagent/r-tidy-modeling.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
r-tidy-modeling 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 4d 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.
What it actually says
{
"name": "r-tidy-modeling",
"displayName": "R Tidy Modeling",
"version": "1.0.0",
"description": "Expert agents for R data science and biostatistics using tidyverse and tidymodels.",
"author": {
"name": "Ahmad Sofi-Mahmudi",
"email": "[email protected]",
"url": "https://github.com/choxos"
},
"repository": "https://github.com/choxos/BiostatAgent",
"license": "MIT",
"keywords": ["r", "tidyverse", "tidymodels", "biostatistics", "clinical-trials", "reproducible-research"]
}
What it installs
The manifest is a name and a version. 3 agents travel with it, and installing the plugin installs all of them — 204 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 4d ago First seen · 15 lines scan A 01aacabe0cc1
r-tidy-modeling is a plugin published in the GitHub repository choxos/BiostatAgent (11 stars, last pushed 3mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 plugins, from other repositories
antimicrobial-resistance-scientist
Reasons from MIC distributions, ECOFFs, and phenotype–genotype concordance through EUCAST/CLSI AST, CARD/RGI and AMRFinderPlus resistomes, GLASS/WHONET/NARMS surveillance, carbapenemase/ESBL/MRSA mechanism panels, and heteroresistance PAP while treating breakpoint mixing, genotype-without-phenotype overclaim…
cdc-health-mcp-server
Search and query CDC public health data — mortality, vaccinations, surveillance, behavioral risk (Socrata SODA API) via MCP. STDIO or Streamable HTTP.
academic-research
Academic research toolkit for AI PhD researchers — literature survey, paper reviewing, citation management, and more.
catalysis-scientist
Reasons from active-site structure, turnover frequency, selectivity, and the Sabatier principle through CO/H2 chemisorption site-counting, Weisz-Prater and Mears transport checks, Langmuir-Hinshelwood/Mars-van Krevelen kinetics, and operando DRIFTS/XAS while treating diffusion-limited apparent rates, DRIFTS spectator…
humanizer
Rewrite AI-sounding text so it reads naturally without changing what it says.
nextjs
Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.