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-dynamicgit 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-dynamic)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/r-network-dynamic"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/r-network-dynamic/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-dynamic"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/r-network-dynamic.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 | $0.00032 | $0.00408 |
| Opus 5 | $0.00016 | $0.00204 |
| Sonnet 5 | $0.00006 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
r-network-dynamic 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 9d 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 Dynamic Networks
Temporal and evolving networks.
networkDynamic
library(networkDynamic)
# Create dynamic network
dnet <- networkDynamic(
network.list = list(net_t1, net_t2, net_t3),
onsets = c(0, 1, 2),
termini = c(1, 2, 3)
)
# Add/remove edges over time
activate.edges(dnet, onset = 1, terminus = 3, e = 1:5)
deactivate.edges(dnet, onset = 2, terminus = 3, e = 3)
# Query at time point
network.extract(dnet, at = 1.5)
network.extract(dnet, onset = 0, terminus = 2)
# Edge/vertex activity
is.active(dnet, at = 1, e = 1:10)
get.edge.activity(dnet, e = 1)
ndtv (Animation)
library(ndtv)
# Compute animation
compute.animation(dnet, animation.mode = "kamadakawai")
# Render animation
render.d3movie(dnet, filename = "network.html")
render.animation(dnet, filename = "network.gif")
# Customize
render.d3movie(dnet,
vertex.col = "blue",
edge.col = "gray",
displaylabels = TRUE
)
tsna (Temporal Analysis)
library(tsna)
# Temporal paths
tPath(dnet, v = 1, start = 0, end = 10)
# Reachability
tReach(dnet, direction = "fwd")
# Temporal metrics
tDegree(dnet)
tSnaStats(dnet, snafun = "betweenness")
What ships with it
3 files 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.
- 9d ago First seen · 70 lines · 32 tokens per session scan A 19400190cc65
r-network-dynamic is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 408 once invoked, about $0.0002 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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