purrr

purrr is a skill for Claude Code, Codex from LeoLin990405/r-analytics-skill. It costs 23 tokens per session (959 once invoked), scanned A, original, MIT.

An R package for applying the same function to every item in a list or vector and for combining or changing the results. It also supports multiple inputs, indexes, nested lists, and actions that mainly produce side effects.

In plain words
What is it for?
Use it to process files, columns, records, or nested data; combine tables; modify selected values; and run actions such as printing or writing files across many items.
Why use it?
It reduces repetitive loops and makes it clearer how collections of values are transformed or combined.

Skill for Claude CodeCodex

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

Good fit Use it to process files, columns, records, or nested data; combine tables; modify selected values; and run actions such as printing or writing files across many items.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leolin990405/r-analytics-skill/purrr
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.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/purrr.svg)](https://agentmods.dev/skills/leolin990405/r-analytics-skill/purrr)
Your own site
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/purrr"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/purrr.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 959 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00959
Opus 5 $0.00012 $0.00479
Sonnet 5 $0.00005 $0.00192
Haiku 4.5 $0.00002 $0.00096

Measured 8d ago against content hash 8c03e10e8511, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

purrr 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 8d 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/purrr/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

purrr

Functional programming tools.

Map Functions

library(purrr)

# map - returns list
map(x, f)
map(x, ~ .x + 1)
map(x, \(x) x + 1)

# Typed variants
map_chr(x, f)  # Character vector
map_dbl(x, f)  # Double vector
map_int(x, f)  # Integer vector
map_lgl(x, f)  # Logical vector
map_vec(x, f)  # Auto-detect type

# map_dfr/map_dfc - bind results
map_dfr(files, read_csv)  # Bind rows
map_dfc(x, f)  # Bind columns

# map2 - two inputs
map2(x, y, f)
map2(x, y, ~ .x + .y)
map2_dbl(x, y, `+`)

# pmap - multiple inputs
pmap(list(a, b, c), f)
pmap_dbl(list(a, b, c), ~ ..1 + ..2 + ..3)

# imap - with index
imap(x, ~ paste(.y, .x))
imap_chr(x, ~ paste(.y, .x))

# walk - side effects (no return)
walk(x, print)
walk2(x, y, write_csv)
pwalk(list(data, paths), write_csv)

Modify

# modify - preserve structure
modify(x, f)
modify_if(x, is.numeric, ~ .x * 2)
modify_at(x, c("a", "b"), toupper)
modify_depth(x, 2, f)

# modify in place
modify(df, ~ if(is.numeric(.x)) scale(.x) else .x)

Reduce and Accumulate

# reduce - combine elements
reduce(x, `+`)
reduce(x, f, .init = 0)
reduce(list(df1, df2, df3), left_join, by = "id")

# reduce2 - with second list
reduce2(x, y, f)

# accumulate - keep intermediates
accumulate(x, `+`)
accumulate(x, f, .init = 0)

Predicates

# keep/discard
keep(x, is.numeric)
discard(x, is.na)
keep(x, ~ .x > 0)

# compact - remove NULL/empty
compact(x)

# every/some/none
every(x, is.numeric)
some(x, is.na)
none(x, is.null)

# detect - find first match
detect(x, ~ .x > 10)
detect_index(x, ~ .x > 10)

# head_while/tail_while
head_while(x, ~ .x > 0)

Pluck and Assign

# pluck - extract element
pluck(x, 1)
pluck(x, "name")
pluck(x, 1, "name", 2)
pluck(x, 1, .default = NA)

# chuck - strict pluck (error if missing)
chuck(x, 1)

# assign_in - modify nested
assign_in(x, list(1, "name"), "new_value")

# modify_in
modify_in(x, list(1, "name"), toupper)

Safely and Possibly

# safely - capture errors
safe_log <- safely(log)
result <- safe_log(-1)
result$result  # NULL
result$error   # Error message

results <- map(x, safely(f))
results %>% map("result") %>% compact()
results %>% map("error") %>% compact()

# possibly - default on error
safe_log <- possibly(log, otherwise = NA)
map_dbl(x, possibly(f, NA))

# quietly - capture messages/warnings
quiet_f <- quietly(f)
result <- quiet_f(x)
result$result
result$output
result$warnings
result$messages

Read the full file on GitHub · 168 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. 8d ago First seen · 168 lines · 23 tokens per session scan A 8c03e10e8511

Subscribe to this mod's changes

purrr 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 959 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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