pryr

pryr is a skill for Claude Code, Codex from LeoLin990405/r-analytics-skill. It costs 23 tokens per session (726 once invoked), scanned A, original, MIT.

An R package for examining how R stores objects, functions, environments, and memory. It also lets you inspect expressions and function calls.

In plain words
What is it for?
Use it to measure object sizes, track memory changes, inspect object types and references, and explore function environments or call trees.
Why use it?
It helps explain where memory is used and how R evaluates code when ordinary debugging does not show the cause.

Skill for Claude CodeCodex

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

Good fit Use it to measure object sizes, track memory changes, inspect object types and references, and explore function environments or call trees.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/pryr/github.svg)](https://agentmods.dev/skills/leolin990405/r-analytics-skill/pryr)
Your own site
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/pryr"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/pryr/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pryr

Your own site · 80×15
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/pryr"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/pryr.svg" alt="Reviewed on agentmods" width="80" 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 726 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 $0.00726
Opus 5 $0.00012 $0.00363
Sonnet 5 $0.00005 $0.00145
Haiku 4.5 $0.00002 $0.00073

Measured 8d ago against content hash b27216cffce6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pryr 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-dev/r-dev-package/pryr/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pryr

Tools for computing on the language.

Object Information

library(pryr)

# Object size
object_size(x)
object_size(x, y)  # Combined size

# Compare sizes
compare_size(x, y)

# Memory address
address(x)

# References to object
refs(x)

Memory Tracking

# Track memory changes
mem_used()

# Memory change from expression
mem_change(x <- 1:1e6)

# Track allocations
track_copy(x)

Object Types

# Type of object
otype(x)  # base, S3, S4, RC, R6

# Is object...
is_s3_generic(f)
is_s3_method(f)

# Function type
ftype(f)  # primitive, internal, closure, special

Environments

# Where is object defined
where("mean")

# Parent environments
parenvs(e)

# Environment as list
env2list(e)

Function Inspection

# Function body
body(f)

# Function arguments
fargs(f)

# Function environment
environment(f)

# Unenclose function
unenclose(f)

Promises

# Check if promise
is_promise(x)

# Promise info
promise_info(x)

Calls and Expressions

# Standardize call
standardise_call(quote(mean(x, na.rm = TRUE)))

# Modify call
modify_call(call, new_args)

# Call tree
call_tree(quote(f(g(x), h(y))))

Active Bindings

# Create active binding
make_active_binding("x", function() runif(1), .GlobalEnv)

# Check if active binding
is_active_binding("x")

Partial Application

# Partial function application
f <- function(x, y, z) x + y + z
g <- partial(f, x = 1)
g(y = 2, z = 3)  # Returns 6

# With dots
h <- partial(f, x = 1, .lazy = FALSE)

Composition

# Compose functions
f <- function(x) x + 1
g <- function(x) x * 2

fg <- compose(f, g)  # f(g(x))
fg(5)  # Returns 11

Substitution

# Substitute in expression
subs(x + y, list(x = 1))

# Substitute with quoting
subs_q(x + y, list(x = quote(a)))

Bytecode

# Check if bytecode compiled
is_bytecode(f)

# Disassemble bytecode
disassemble(f)

Performance

# Compare object sizes
object_size(1:1000)
object_size(as.numeric(1:1000))

# Memory efficient operations
# Use pryr to understand memory behavior
x <- 1:1e6
address(x)
x[1] <- 0L
address(x)  # Same address (modify in place)

y <- x
address(y)  # Same address (copy on modify)
y[1] <- 1L
address(y)  # Different address (copied)

Read the full file on GitHub · 180 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 · 180 lines · 23 tokens per session scan A b27216cffce6

Subscribe to this mod's changes

pryr 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 726 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 2026-09-03.

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