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 cartographygit 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/cartography)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/cartography"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/cartography/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/cartography"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/cartography.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 | $0.00019 | $0.00626 |
| Opus 5 | $0.00010 | $0.00313 |
| Sonnet 5 | $0.00004 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00063 |
Grade A, and why
cartography 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
cartography
Thematic cartography.
Basic Map
library(cartography)
library(sf)
# Read data
mtq <- st_read(system.file("gpkg/mtq.gpkg", package = "cartography"))
# Plot base map
plot(st_geometry(mtq), col = "lightblue", border = "white")
Choropleth Map
# Choropleth
choroLayer(
x = mtq,
var = "MED",
method = "quantile",
nclass = 5,
col = carto.pal("green.pal", 5),
border = "white",
legend.title.txt = "Median Income"
)
Proportional Symbols
# Proportional circles
propSymbolsLayer(
x = mtq,
var = "POP",
col = "red",
border = "white",
legend.title.txt = "Population"
)
# Proportional + choropleth
propSymbolsChoroLayer(
x = mtq,
var = "POP",
var2 = "MED",
col = carto.pal("blue.pal", 4)
)
Typology Map
# Categorical map
typoLayer(
x = mtq,
var = "STATUS",
col = carto.pal("pastel.pal", 4),
legend.title.txt = "Status"
)
Labels
# Add labels
labelLayer(
x = mtq,
txt = "LIBGEO",
col = "black",
cex = 0.7,
halo = TRUE
)
Layout Elements
# Title
layoutLayer(
title = "Map Title",
author = "Author",
sources = "Data source",
scale = 5,
north = TRUE
)
# North arrow
north(pos = "topleft")
# Scale bar
barscale(size = 5)
Color Palettes
# Available palettes
display.carto.all()
# Get palette
carto.pal("green.pal", 5)
carto.pal("red.pal", 7)
carto.pal("blue.pal", 4)
carto.pal("orange.pal", 6)
Smoothed Map
# Kernel density
smoothLayer(
x = mtq,
var = "POP",
typefct = "exponential",
span = 3000,
beta = 2
)
Links/Flows
# Flow map
gradLinkLayer(
x = links,
df = flow_data,
xid = "origin",
yid = "destination",
var = "flow"
)
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 · 141 lines · 19 tokens per session scan A 5254af91edcf
cartography is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 626 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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