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 mapviewgit 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/mapview)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/mapview"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/mapview/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/mapview"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/mapview.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 | $0.00440 |
| Opus 5 | $0.00010 | $0.00220 |
| Sonnet 5 | $0.00004 | $0.00088 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
mapview 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
mapview Package
Quick interactive maps for spatial data exploration.
Basic Usage
library(mapview)
library(sf)
# Quick view
mapview(shp)
# With column
mapview(shp, zcol = "value")
Customization
mapview(shp,
zcol = "value",
col.regions = viridisLite::viridis,
alpha.regions = 0.8,
layer.name = "My Layer",
legend = TRUE
)
Multiple Layers
# Add layers with +
mapview(polygons) + mapview(points)
# Or combine
m1 <- mapview(polygons, col.regions = "blue")
m2 <- mapview(points, col.regions = "red")
m1 + m2
Different Data Types
# sf objects
mapview(sf_object)
# Raster
library(terra)
mapview(raster_object)
# sp objects
mapview(sp_object)
Options
# Global options
mapviewOptions(
basemaps = c("OpenStreetMap", "Esri.WorldImagery"),
layers.control.pos = "topright"
)
# Reset
mapviewOptions(default = TRUE)
Basemaps
mapview(shp, map.types = c(
"OpenStreetMap",
"Esri.WorldImagery",
"CartoDB.Positron"
))
Popups
mapview(shp,
popup = popupTable(shp, zcol = c("name", "value"))
)
Save
m <- mapview(shp)
mapshot(m, file = "map.html")
mapshot(m, file = "map.png")
Sync Maps
# Side by side
sync(m1, m2)
# Lattice view
latticeView(m1, m2)
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 · 109 lines · 19 tokens per session scan A 02604cca4374
mapview is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 440 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.
Other skills, from other repositories
thesis-figure-skill
An academic-diagram skill for creating research-paper figures as TikZ/LaTeX code or draw.io XML. TikZ is code that embeds precisely into LaTeX papers, while draw.io XML creates diagrams editable in the draw.io app.
bio-applied-gwas
Run GWAS: SNP QC (MAF/HWE), PCA ancestry covariates, per-SNP logistic/linear regression, Manhattan/QQ plots, genomic inflation, LD clumping. Use when doing GWAS, SNP-array association, or stratification correction.
bio-applied-molecular-evolution
Test Hardy-Weinberg equilibrium, simulate Wright-Fisher drift/selection, and compute dN/dS, Tajima's D, and Fst with NumPy/SciPy. Use for neutral theory, molecular clock divergence time, selection scans, or effective population size (Ne) questions.
ai-science-esm2-embeddings
Generate ESM2 protein embeddings (fair-esm/transformers) and predict structure with ESMFold. Use when embedding sequences, scoring mutations zero-shot, annotating protein function, or doing fast MSA-free structure prediction.
ai-science-geneformer-scgpt
Tokenize scRNA-seq via Geneformer gene-rank or scGPT expression-bin encoding; annotate cell types, simulate in-silico knockouts. Use for foundation-model cell annotation, Geneformer/scGPT tokenization, or perturbation prediction.
ai-science-zero-shot-mutation
Score protein point mutations zero-shot with ESM-1v/ESM-2 masked-LM log-odds, ensembled, benchmarked on ProteinGym DMS. Use when predicting mutation effects, ranking missense variants, scoring VUS fitness with no labels.