agentmods.dev

r-network-viz

r-network-viz is a skill for Claude Code, Codex from LeoLin990405/r-analytics-skill. It costs 23 tokens per session (468 once invoked), scanned A, original, MIT.

An R toolkit for drawing network data as static or interactive graphs, where nodes are entities and edges are their connections.

In plain words
What is it for?
Use it to create force-directed, circular, tree, and hierarchical network visualisations, including interactive views.
Why use it?
It turns complex connection data into layouts that can be inspected, labelled, styled, or explored interactively.

Skill for Claude CodeCodex

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

not rated 5repo 2d ago A scan 23 tokens original MIT

Good fit Use it to create force-directed, circular, tree, and hierarchical network visualisations, including interactive views.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leolin990405/r-analytics-skill/r-network-viz
View source ↗ LeoLin990405/r-analytics-skill
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 r-network-viz
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 r-network-viz

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/r-network-viz"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/r-network-viz.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 468 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 $0.00468
Opus 5.5 $0.00009 $0.00187
Sonnet 5.5 $0.00005 $0.00094
Haiku 4.5 $0.00002 $0.00047

Measured 2mo ago against content hash fd247373b958, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

r-network-viz 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 2mo 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-network/r-network-viz/SKILL.md · 87 lines

What it actually says

R Network Visualization

Graph visualization.

ggraph

library(ggraph)
library(tidygraph)

# Convert to tbl_graph
tg <- as_tbl_graph(g)

# Basic plot
ggraph(tg, layout = "fr") +
  geom_edge_link() +
  geom_node_point()

# Layouts
ggraph(tg, layout = "kk")      # Kamada-Kawai
ggraph(tg, layout = "fr")      # Fruchterman-Reingold
ggraph(tg, layout = "circle")
ggraph(tg, layout = "tree")
ggraph(tg, layout = "stress")

# Styled
ggraph(tg, layout = "fr") +
  geom_edge_link(aes(alpha = weight), show.legend = FALSE) +
  geom_node_point(aes(size = centrality, color = community)) +
  geom_node_text(aes(label = name), repel = TRUE) +
  theme_graph()

# Edge types
geom_edge_link()
geom_edge_arc()
geom_edge_fan()
geom_edge_diagonal()

visNetwork

library(visNetwork)

# Basic
visNetwork(nodes, edges)

# Options
visNetwork(nodes, edges) %>%
  visOptions(
    highlightNearest = TRUE,
    nodesIdSelection = TRUE,
    selectedBy = "group"
  ) %>%
  visLayout(randomSeed = 123) %>%
  visPhysics(stabilization = FALSE)

# From igraph
visIgraph(g)

# Hierarchical
visNetwork(nodes, edges) %>%
  visHierarchicalLayout(direction = "UD")

networkD3

library(networkD3)

# Force network
forceNetwork(Links = edges, Nodes = nodes, Source = "from", Target = "to",
             NodeID = "name", Group = "group")

# Sankey
sankeyNetwork(Links = links, Nodes = nodes, Source = "source", Target = "target",
              Value = "value", NodeID = "name")

# Simple network
simpleNetwork(edges)
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 87 lines · 23 tokens per session scan A fd247373b958

Subscribe to this mod's changes

r-network-viz is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 468 once invoked, about $0.0001 per session on Opus 5.5. 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.

Analytics and metricsClaude CodeDesign and UXScientificclaude-code-skilldata-sciencerskillstatistics
Related

r-network-viz compared with skills from other repositories

r-network-viz next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
r-network-vizLeoLin990405/r-analytics-skillSkill52d agoMITA23Claude Code, Codex
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r-expertpersonamanagmentlayer/pclSkill4411d agoApache-2.0A53Claude Code
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