rio

rio is a skill for Claude Code, Codex from LeoLin990405/r-analytics-skill. It costs 23 tokens per session (769 once invoked), scanned A, original, MIT.

An R package that imports and exports many file formats through simple functions, including spreadsheets, JSON, XML, statistical files, and serialized R data.

In plain words
What is it for?
Use it to import or export CSV, Excel, JSON, SPSS, Stata, SAS, HTML, YAML, Feather, Parquet, and R data files, including all sheets from an Excel workbook.
Why use it?
It avoids choosing and learning a separate package for every input or output format. The file extension usually determines how the data is handled.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/rio
Any agent
npx skills add LeoLin990405/r-analytics-skill --skill rio
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 rio

README.md
[![agentmods](https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/rio.svg)](https://agentmods.dev/skills/leolin990405/r-analytics-skill/rio)
Your own site
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/rio"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/rio.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 769 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 5.1 $0.00023 $0.00769
Opus 5 $0.00012 $0.00385
Sonnet 5 $0.00005 $0.00154
Haiku 4.5 $0.00002 $0.00077

Measured 6d ago against content hash 891c1c602244, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

rio 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 6d 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-data/r-data-formats/rio/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

rio

Swiss-Army Knife for Data I/O.

Basic Usage

library(rio)

# Import any format
df <- import("data.csv")
df <- import("data.xlsx")
df <- import("data.json")
df <- import("data.sav")    # SPSS
df <- import("data.dta")    # Stata
df <- import("data.sas7bdat") # SAS

# Export any format
export(df, "output.csv")
export(df, "output.xlsx")
export(df, "output.json")

Supported Formats

# Text formats
import("data.csv")
import("data.tsv")
import("data.txt")
import("data.psv")  # pipe-separated

# Excel
import("data.xlsx")
import("data.xls")

# Statistical software
import("data.sav")      # SPSS
import("data.dta")      # Stata
import("data.sas7bdat") # SAS
import("data.por")      # SPSS portable
import("data.xpt")      # SAS transport

# Other formats
import("data.json")
import("data.xml")
import("data.html")
import("data.yml")
import("data.rds")
import("data.rdata")
import("data.feather")
import("data.parquet")
import("data.fst")
import("data.qs")

Excel Sheets

# Specific sheet
df <- import("data.xlsx", which = 2)
df <- import("data.xlsx", sheet = "Sheet2")

# All sheets
sheets <- import_list("data.xlsx")
# Returns named list of data frames

Multiple Files

# Import multiple files
files <- list.files(pattern = "*.csv")
data_list <- import_list(files)

# Bind into single data frame
df <- import_list(files, rbind = TRUE)

# With file identifier
df <- import_list(files, rbind = TRUE, rbind_label = "source")

Export Options

# CSV options
export(df, "output.csv", row.names = FALSE)

# Excel options
export(df, "output.xlsx", overwrite = TRUE)

# Multiple sheets
export(list(sheet1 = df1, sheet2 = df2), "output.xlsx")

# Compressed
export(df, "output.csv.gz")

Format Detection

# rio detects format from extension
# Override with format argument
df <- import("data.txt", format = "csv")
df <- import("data", format = "tsv")

# Check supported formats
rio:::.import_formats
rio:::.export_formats

Conversion

Read the full file on GitHub · 151 lines

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. 6d ago First seen · 151 lines · 23 tokens per session scan A 891c1c602244

Subscribe to this mod's changes

rio is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 769 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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