r-dev-oop

r-dev-oop is a skill for Claude Code, Codex from LeoLin990405/r-analytics-skill. It costs 25 tokens per session (745 once invoked), scanned A, original, MIT.

A guide to object-oriented programming in R using R6, S3, and S4. Object-oriented programming organizes data and related operations into reusable types with defined behavior.

In plain words
What is it for?
Use it to define R6 classes with private fields, inheritance, and shared state, or to create S3 and S4 classes with their own methods and validation.
Why use it?
It explains several ways to structure larger R programs when plain functions and data frames are no longer enough.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/leolin990405/r-analytics-skill/r-dev-oop
Any agent
npx skills add LeoLin990405/r-analytics-skill --skill r-dev-oop
Clone the repo
git clone --depth 1 https://github.com/LeoLin990405/r-analytics-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for r-dev-oop

README.md
[![agentmods](https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/r-dev-oop.svg)](https://agentmods.dev/skills/leolin990405/r-analytics-skill/r-dev-oop)
Your own site
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/r-dev-oop"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/r-dev-oop.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 745 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00025 $0.00745
Opus 5 $0.00013 $0.00373
Sonnet 5 $0.00005 $0.00149
Haiku 4.5 $0.00003 $0.00075

Measured 5d ago against content hash 05d4a7ca69a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

r-dev-oop 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 5d 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.

sub-skills/r-dev/r-dev-oop/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

R Object-Oriented Programming

OOP systems in R.

R6 Classes

library(R6)

# Define class
Person <- R6Class("Person",
  public = list(
    name = NULL,
    age = NULL,
    
    initialize = function(name, age = NA) {
      self$name <- name
      self$age <- age
    },
    
    greet = function() {
      cat("Hello, I'm", self$name, "\n")
    },
    
    set_age = function(age) {
      private$validate_age(age)
      self$age <- age
    }
  ),
  
  private = list(
    validate_age = function(age) {
      if (!is.numeric(age) || age < 0) {
        stop("Invalid age")
      }
    }
  ),
  
  active = list(
    birth_year = function() {
      as.integer(format(Sys.Date(), "%Y")) - self$age
    }
  )
)

# Use
p <- Person$new("Alice", 30)
p$greet()
p$birth_year

# Inheritance
Employee <- R6Class("Employee",
  inherit = Person,
  public = list(
    title = NULL,
    initialize = function(name, age, title) {
      super$initialize(name, age)
      self$title <- title
    }
  )
)

S3 Classes

# Constructor
new_person <- function(name, age) {
  structure(
    list(name = name, age = age),
    class = "person"
  )
}

# Validator
validate_person <- function(x) {
  if (!is.character(x$name)) stop("name must be character")
  if (!is.numeric(x$age)) stop("age must be numeric")
  x
}

# Helper
person <- function(name, age) {
  validate_person(new_person(name, age))
}

# Methods
print.person <- function(x, ...) {
  cat("Person:", x$name, "(", x$age, ")\n")
}

summary.person <- function(object, ...) {
  cat("Name:", object$name, "\n")
  cat("Age:", object$age, "\n")
}

# Generic
greet <- function(x) UseMethod("greet")
greet.person <- function(x) cat("Hello, I'm", x$name, "\n")
greet.default <- function(x) cat("Hello\n")

S4 Classes

library(methods)

# Define class
setClass("Person",
  slots = c(
    name = "character",
    age = "numeric"
  ),
  prototype = list(
    name = NA_character_,
    age = NA_real_
  )
)

# Constructor
Person <- function(name, age) {
  new("Person", name = name, age = age)
}

# Validity
setValidity("Person", function(object) {
  if (length(object@name) != 1) return("name must be length 1")
  if (object@age < 0) return("age must be positive")
  TRUE
})

# Methods
setGeneric("greet", function(x) standardGeneric("greet"))
setMethod("greet", "Person", function(x) {
  cat("Hello, I'm", x@name, "\n")
})

# Inheritance
setClass("Employee",
  contains = "Person",
  slots = c(title = "character")
)

Read the full file on GitHub · 149 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 5d ago First seen · 149 lines · 25 tokens per session scan A 05d4a7ca69a1

Subscribe to this mod's changes

r-dev-oop is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 745 once invoked, about $0.0001 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 2026-08-31.

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