lobstr

lobstr is a skill for Claude Code, Codex from LeoLin990405/r-analytics-skill. It costs 21 tokens per session (487 once invoked), scanned A, original, MIT.

An R tool for inspecting how objects are stored and related in memory. It can show object size, memory addresses, references, and internal structure.

In plain words
What is it for?
Use it to measure object sizes, inspect shared memory, examine expression trees, and compare the structure of R objects.
Why use it?
It helps explain unexpected memory use and what happens when objects are copied or modified.

Skill for Claude CodeCodex

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

Good fit Use it to measure object sizes, inspect shared memory, examine expression trees, and compare the structure of R objects.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/lobstr.svg)](https://agentmods.dev/skills/leolin990405/r-analytics-skill/lobstr)
Your own site
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/lobstr"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/lobstr.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 487 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 $0.00021 $0.00487
Opus 5 $0.00010 $0.00244
Sonnet 5 $0.00004 $0.00097
Haiku 4.5 $0.00002 $0.00049

Measured 4d ago against content hash 29bbc5070a47, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

lobstr 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 4d 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-profiling/lobstr/SKILL.md · 117 lines

What it actually says

lobstr

Visualize R data structures.

Object Size

library(lobstr)

# Object size
obj_size(x)

# Multiple objects
obj_size(x, y)

# Shared memory
obj_size(x, y)  # May be less than obj_size(x) + obj_size(y)

Object Address

# Memory address
obj_addr(x)

# Check if same object
obj_addr(x) == obj_addr(y)

Reference Counting

# Reference count
ref(x)

# Track references
x <- 1:10
y <- x
ref(x)  # Shows 2 references

AST (Abstract Syntax Tree)

# View expression tree
ast(f(x, y))

# Complex expression
ast(
  if (x > 0) {
    sqrt(x)
  } else {
    -sqrt(-x)
  }
)

Object Tree

# View object structure
sxp(x)

# List structure
sxp(list(a = 1, b = 2))

Memory Tracking

# Track memory changes
x <- 1:1e6
obj_size(x)

y <- x
obj_size(x, y)  # Same memory (copy-on-modify)

y[1] <- 0L
obj_size(x, y)  # Now separate

Compare Sizes

# Compare object sizes
sizes <- c(
  "vector" = obj_size(1:1000),
  "list" = obj_size(as.list(1:1000)),
  "df" = obj_size(data.frame(x = 1:1000))
)
sizes

Memory Efficiency

# Integer vs double
obj_size(1:1000)        # Integer
obj_size(as.double(1:1000))  # Double (2x size)

# Character interning
x <- rep("hello", 1000)
obj_size(x)  # Efficient due to interning

Tree Visualization

# View call tree
tree(quote(f(g(x), h(y, z))))
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. 4d ago First seen · 117 lines · 21 tokens per session scan A 29bbc5070a47

Subscribe to this mod's changes

lobstr is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 487 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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