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 spgit 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/sp)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/sp"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/sp/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/sp"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/sp.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 | $0.00025 | $0.01126 |
| Opus 5 | $0.00013 | $0.00563 |
| Sonnet 5 | $0.00005 | $0.00225 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade A, and why
sp 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.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sp
Classes and methods for spatial data.
Spatial Points
library(sp)
# Create SpatialPoints
coords <- cbind(x = c(1, 2, 3), y = c(4, 5, 6))
sp_points <- SpatialPoints(coords)
# With CRS
sp_points <- SpatialPoints(coords, proj4string = CRS("+proj=longlat +datum=WGS84"))
# With data
df <- data.frame(id = 1:3, value = c(10, 20, 30))
spdf <- SpatialPointsDataFrame(coords, df)
Spatial Lines
# Create Line
line1 <- Line(cbind(c(1, 2, 3), c(1, 2, 1)))
line2 <- Line(cbind(c(4, 5, 6), c(4, 5, 4)))
# Create Lines (collection)
lines1 <- Lines(list(line1), ID = "a")
lines2 <- Lines(list(line2), ID = "b")
# Create SpatialLines
sp_lines <- SpatialLines(list(lines1, lines2))
# With data
df <- data.frame(id = c("a", "b"), length = c(10, 15))
sldf <- SpatialLinesDataFrame(sp_lines, df, match.ID = "id")
Spatial Polygons
# Create Polygon
poly1 <- Polygon(cbind(c(0, 1, 1, 0, 0), c(0, 0, 1, 1, 0)))
poly2 <- Polygon(cbind(c(2, 3, 3, 2, 2), c(0, 0, 1, 1, 0)))
# Create Polygons
polys1 <- Polygons(list(poly1), ID = "a")
polys2 <- Polygons(list(poly2), ID = "b")
# Create SpatialPolygons
sp_polys <- SpatialPolygons(list(polys1, polys2))
# With data
df <- data.frame(id = c("a", "b"), area = c(1, 1))
spdf <- SpatialPolygonsDataFrame(sp_polys, df, match.ID = "id")
Coordinate Reference Systems
# Set CRS
proj4string(sp_obj) <- CRS("+proj=longlat +datum=WGS84")
# Get CRS
proj4string(sp_obj)
# Transform CRS
sp_transformed <- spTransform(sp_obj, CRS("+proj=utm +zone=10 +datum=WGS84"))
# Common CRS strings
# WGS84: "+proj=longlat +datum=WGS84"
# UTM: "+proj=utm +zone=10 +datum=WGS84"
# Web Mercator: "+proj=merc +a=6378137 +b=6378137"
Subsetting
# By index
sp_obj[1:5, ]
# By attribute
sp_obj[sp_obj$value > 10, ]
# Access data
sp_obj@data
sp_obj$column_name
Spatial Operations
# Bounding box
bbox(sp_obj)
# Coordinates
coordinates(sp_obj)
# Area (polygons)
library(rgeos)
gArea(sp_polys)
# Length (lines)
gLength(sp_lines)
# Centroid
gCentroid(sp_polys)
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 · 198 lines · 25 tokens per session scan A 97bed4908694
sp is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 6mo ago), licensed MIT. It adds 25 tokens to every session and 1,126 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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