stringi

An R package for fast text handling, including changing case, joining text, finding patterns, extracting matches, and replacing text. R is a programming language often used for data analysis.

In plain words
What is it for?
Use it to measure and transform strings, search with fixed text or regular expressions, locate and extract matches, and replace text.
Why use it?
It provides consistent ways to process large amounts of text and handles international writing through the ICU library.

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

Made for: Claude Code, Codex.

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 825 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 $0.00022 $0.00825
Opus 5 $0.00011 $0.00413
Sonnet 5 $0.00004 $0.00165
Haiku 4.5 $0.00002 $0.00082

Measured 3d ago against content hash 15a02e3f3771, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

stringi 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 3d 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-manipulation/stringi/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.

stringi

Fast string processing with ICU.

Basic Operations

library(stringi)

# Length
stri_length("hello")
stri_length(c("hello", "world"))

# Concatenation
stri_c("hello", "world")
stri_c("a", "b", "c", sep = "-")
stri_paste(letters[1:3], collapse = ", ")

# Duplication
stri_dup("ab", 3)  # "ababab"

Case Conversion

stri_trans_toupper("hello")
stri_trans_tolower("HELLO")
stri_trans_totitle("hello world")

# Locale-aware
stri_trans_toupper("istanbul", locale = "tr_TR")

Substring

# Extract
stri_sub("hello", 1, 3)  # "hel"
stri_sub("hello", -2)    # "lo"

# Replace
x <- "hello"
stri_sub(x, 1, 2) <- "XX"  # "XXllo"

# Multiple extractions
stri_sub_all("hello", list(c(1, 3), c(2, 4)))

Pattern Matching

# Detect
stri_detect_regex("hello123", "\\d+")
stri_detect_fixed("hello", "ell")

# Count
stri_count_regex("a1b2c3", "\\d")
stri_count_fixed("banana", "a")

# Locate
stri_locate_first_regex("hello123", "\\d+")
stri_locate_all_regex("a1b2c3", "\\d")

Extract and Replace

# Extract matches
stri_extract_first_regex("hello123", "\\d+")
stri_extract_all_regex("a1b2c3", "\\d+")

# Replace
stri_replace_first_regex("hello123", "\\d+", "XXX")
stri_replace_all_regex("a1b2c3", "\\d", "X")
stri_replace_all_fixed("banana", "a", "o")

Split

stri_split_fixed("a,b,c", ",")
stri_split_regex("a1b2c3", "\\d")
stri_split_boundaries("hello world", type = "word")

Trim and Pad

# Trim whitespace
stri_trim("  hello  ")
stri_trim_left("  hello  ")
stri_trim_right("  hello  ")

# Pad
stri_pad_left("42", 5, "0")   # "00042"
stri_pad_right("hi", 5, "-")  # "hi---"
stri_pad_both("hi", 6, "*")   # "**hi**"

Encoding

# Detect encoding
stri_enc_detect(raw_bytes)

# Convert encoding
stri_encode(x, from = "latin1", to = "UTF-8")

# Check if valid UTF-8
stri_enc_isutf8(x)

Comparison

# Compare strings
stri_cmp("a", "b")  # -1, 0, or 1

# Locale-aware comparison
stri_cmp("ä", "z", locale = "de_DE")

# Sorting
stri_sort(c("b", "a", "c"))
stri_order(c("b", "a", "c"))

Read the full file on GitHub · 149 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. 3d ago First seen · 149 lines · 22 tokens per session scan A 15a02e3f3771

Subscribe to this mod's changes

stringi is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 825 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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