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 muend/geoai-skills --skill cartography-geovizgit clone --depth 1 https://github.com/muend/geoai-skillsWrote 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/muend/geoai-skills/cartography-geoviz)<a href="https://agentmods.dev/skills/muend/geoai-skills/cartography-geoviz"><img src="https://agentmods.dev/badge/skills/muend/geoai-skills/cartography-geoviz/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/muend/geoai-skills/cartography-geoviz"><img src="https://agentmods.dev/badge/skills/muend/geoai-skills/cartography-geoviz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 66 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00098 | $0.01453 |
| Opus 5 | $0.00049 | $0.00727 |
| Sonnet 5 | $0.00020 | $0.00291 |
| Haiku 4.5 | $0.00010 | $0.00145 |
Grade A, and why
cartography-geoviz 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 12d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cartography & Geovisualization
Purpose: maps that communicate honestly. Cartographic choices (class breaks, ramps, normalization, projection) can manufacture or hide patterns; this skill treats them as analytical decisions with stated rationale, not styling.
The first three questions
- What's the message? One map = one message. If two variables compete, consider small multiples or a bivariate scheme — not twelve legend classes.
- Normalized? Choropleths of raw counts are population maps in disguise. Rates, densities, or per-capita for area-based color; raw magnitudes → proportional symbols instead.
- Static or interactive? Print/PDF/paper → matplotlib/QGIS layout; exploration/stakeholders → Folium/MapLibre; big point data → Kepler.gl/deck.gl (GPU).
Thematic map type selection
| Data | Map type |
|---|---|
| Rate/ratio by polygon | Choropleth |
| Count/magnitude by place | Proportional/graduated symbols |
| Two related rates | Bivariate choropleth (3×3 max) |
| Individual-level density | Dot density or KDE surface (label bandwidth) |
| Continuous field (raster) | Classified or stretched render + hillshade context |
| Movement/OD | Flow map (width∝volume), aggregate to avoid hairballs |
| Change over time | Small multiples > animation for analysis; animation for outreach |
Classification — the honesty lever
- Natural breaks (Jenks): default for skewed data; breaks are data-specific, so NOT comparable across maps/dates.
- Quantiles: guaranteed color balance; can split near-identical values.
- Equal interval: comparable and intuitive; fails on skew.
- Manual/defined: the ONLY correct choice for map series (same breaks across all dates/regions) and for domain thresholds (WHO limits, slope classes).
- 5±2 classes; show the histogram with breaks in the workflow; state the scheme in the caption/metadata. Try two schemes — if the story changes materially, the story is the classification, and the reader must be told.
What ships with it
2 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.
- 12d ago First seen · 137 lines · 98 tokens per session scan A acf568d4ca4d
cartography-geoviz is a skill published in the GitHub repository muend/geoai-skills (18 stars, last pushed 8d ago), licensed MIT. It adds 98 tokens to every session and 1,453 once invoked, about $0.0005 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 2026-08-31.
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