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 ggraphgit 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/ggraph)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/ggraph"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/ggraph/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/ggraph"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/ggraph.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 | $0.00020 | $0.00551 |
| Opus 5.5 | $0.00008 | $0.00220 |
| Sonnet 5.5 | $0.00004 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
ggraph 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.
What it actually says
ggraph Package
Grammar of graphics for networks.
Basic Plot
library(ggraph)
library(tidygraph)
graph <- as_tbl_graph(igraph_obj)
ggraph(graph, layout = "fr") +
geom_edge_link() +
geom_node_point()
Layouts
# Force-directed
ggraph(graph, layout = "fr") # Fruchterman-Reingold
ggraph(graph, layout = "kk") # Kamada-Kawai
ggraph(graph, layout = "stress")
# Hierarchical
ggraph(graph, layout = "tree")
ggraph(graph, layout = "dendrogram")
# Circular
ggraph(graph, layout = "circle")
ggraph(graph, layout = "linear", circular = TRUE)
# Manual
ggraph(graph, layout = "manual", x = x_coords, y = y_coords)
Edge Geoms
# Links
geom_edge_link(aes(alpha = weight))
geom_edge_link2(aes(color = node.class)) # Gradient
# Arcs
geom_edge_arc(aes(alpha = weight))
geom_edge_fan() # Multiple edges
# Curved
geom_edge_bend()
geom_edge_diagonal()
# Arrows
geom_edge_link(arrow = arrow(length = unit(2, "mm")))
Node Geoms
geom_node_point(aes(size = degree, color = community))
geom_node_text(aes(label = name), repel = TRUE)
geom_node_label(aes(label = name))
geom_node_tile() # For treemaps
Full Example
graph %>%
mutate(
degree = centrality_degree(),
community = as.factor(group_louvain())
) %>%
ggraph(layout = "fr") +
geom_edge_link(alpha = 0.3) +
geom_node_point(aes(size = degree, color = community)) +
geom_node_text(aes(label = name), repel = TRUE, size = 3) +
scale_size_continuous(range = c(2, 10)) +
theme_graph() +
labs(title = "Network Visualization")
Faceting
ggraph(graph, layout = "fr") +
geom_edge_link() +
geom_node_point() +
facet_nodes(~community)
ggraph(graph, layout = "fr") +
geom_edge_link() +
geom_node_point() +
facet_edges(~type)
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.
- 2mo ago First seen · 101 lines · 20 tokens per session scan A ed3bbbdfb1c5
ggraph is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 2d ago), licensed MIT. It adds 20 tokens to every session and 551 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.
ggraph compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ggraphLeoLin990405/r-analytics-skill | Skill | 5 | 2d ago | MIT | A | 20 | Claude Code, Codex |
| abstraction-to-designyogsoth-ai/de-anthropocentric-research-engine | Skill | 510 | 14d ago | Apache-2.0 | A | 18 | Claude Code, Codex |
| data-science-statistical-analysisj4flmao/agent-skills | Skill | 38 | 3d ago | MIT | A | 103 | Claude Code, Codex |
| r-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 53 | Claude Code |
| stata-ai-fusionhaoyu-haoyu/stata-ai-fusion | Skill | 45 | 4mo ago | MIT | A | 117 | Claude Code, Codex |
| netresearch-brandingnetresearch/netresearch-branding-skill | Skill | 4 | 2d ago | none | A | 64 | Claude Code |
| openclaw-carapaceopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 50 | Claude Code, Codex |