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.
npx skills add LeoLin990405/r-analytics-skill --skill r-network-vizgit clone --depth 1 https://github.com/LeoLin990405/r-analytics-skillWrote 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.
[](https://agentmods.dev/skills/leolin990405/r-analytics-skill/r-network-viz)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.00468 |
| Opus 5 | $0.00012 | $0.00234 |
| Sonnet 5 | $0.00005 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
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 7d 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.
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)
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.
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.
- 7d ago First seen · 87 lines · 23 tokens per session scan A fd247373b958
r-network-viz 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 468 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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