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 ggmapgit 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/ggmap)<a href="https://agentmods.dev/skills/leolin990405/r-analytics-skill/ggmap"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/ggmap/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/ggmap"><img src="https://agentmods.dev/badge/skills/leolin990405/r-analytics-skill/ggmap.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 | $0.00027 | $0.00548 |
| Opus 5.5 | $0.00011 | $0.00219 |
| Sonnet 5.5 | $0.00005 | $0.00110 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
ggmap 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
ggmap Package
ggplot2-style maps with tile backgrounds.
Get Map Tiles
library(ggmap)
# Stamen maps (no API key needed)
map <- get_stadiamap(
bbox = c(left = -122.5, bottom = 37.5, right = -122, top = 38),
zoom = 12,
maptype = "stamen_toner_lite"
)
# Google Maps (requires API key)
register_google(key = "YOUR_API_KEY")
map <- get_googlemap(
center = c(lon = -122.4, lat = 37.8),
zoom = 12,
maptype = "roadmap"
)
Plot Map
ggmap(map)
# With points
ggmap(map) +
geom_point(data = df, aes(x = lon, y = lat), color = "red", size = 3)
Add Layers
ggmap(map) +
geom_point(data = df, aes(x = lon, y = lat, color = category)) +
geom_path(data = route, aes(x = lon, y = lat)) +
scale_color_viridis_d()
Density Maps
ggmap(map) +
stat_density_2d(
data = df,
aes(x = lon, y = lat, fill = after_stat(level)),
geom = "polygon",
alpha = 0.3
) +
scale_fill_viridis_c()
Geocoding
# Google geocoding (requires API)
geocode("1600 Pennsylvania Ave, Washington DC")
# Reverse geocoding
revgeocode(c(-77.0365, 38.8977))
Routes
# Google directions (requires API)
route <- route(
from = "San Francisco, CA",
to = "Los Angeles, CA",
mode = "driving"
)
ggmap(map) +
geom_path(data = route, aes(x = lon, y = lat), color = "blue", size = 2)
Map Types
# Stadia/Stamen types
"stamen_toner"
"stamen_toner_lite"
"stamen_watercolor"
"stamen_terrain"
# Google types
"roadmap"
"satellite"
"terrain"
"hybrid"
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 · 102 lines · 27 tokens per session scan A 4d20c4661eaf
ggmap is a skill published in the GitHub repository LeoLin990405/r-analytics-skill (5 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 548 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.
ggmap compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ggmapLeoLin990405/r-analytics-skill | Skill | 5 | 2d ago | MIT | A | 27 | 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 |