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 agentmods add skills/cablate/mcp-google-map/google-mapsnpx skills add cablate/mcp-google-map --skill google-mapsgit clone --depth 1 https://github.com/cablate/mcp-google-mapWhat 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 | $0.00080 | $0.01542 |
| Opus 5 | $0.00040 | $0.00771 |
| Sonnet 5 | $0.00016 | $0.00308 |
| Haiku 4.5 | $0.00008 | $0.00154 |
Grade A, and why
google-maps 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 yesterday.
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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Maps - Geospatial Query Capabilities
Overview
Gives an AI Agent the ability to reason about physical space — understand locations, distances, routes, and elevation, and naturally weave that information into conversation.
Without this Skill, the agent can only guess or refuse when asked "how do I get from Taipei 101 to the National Palace Museum?". With it, the agent returns exact coordinates, step-by-step routes, and travel times.
Core Principles
| Principle | Explanation |
|---|---|
| Chain over single-shot | Most geo questions require 2-5 tool calls chained together. See Scenario Recipes in references/tools-api.md for the full patterns. |
| Match recipe to intent | Map the user's question to a recipe (Trip Planning, Local Discovery, Route Comparison, Neighborhood Analysis, Multi-Stop, Place Comparison, Along the Route) before calling any tool. |
| Precise input saves trouble | Use coordinates over address strings when available. Use place_id over name search. More precise input = more reliable output. |
| Output is structured | Every tool returns JSON. Use it directly for downstream computation or comparison — no extra parsing needed. |
| Present as tables | Users prefer comparison tables and scorecards over raw JSON. Format results for readability. |
Tool Map
17 tools in five categories — pick by scenario:
Place Discovery
| Tool | When to use | Example |
|---|---|---|
maps_geocode |
Have an address/landmark, need coordinates | "What are the coordinates of Tokyo Tower?" |
maps_reverse_geocode |
Have coordinates, need an address | "What's at 35.65, 139.74?" |
maps_search_nearby |
Know a location, find nearby places by type | "Coffee shops near my hotel" |
maps_search_places |
Natural language place search | "Best ramen in Tokyo" |
maps_place_details |
Have a place_id, need full info (+ optional photo URLs via maxPhotos) |
"Opening hours and reviews for this restaurant?" |
maps_batch_geocode |
Geocode multiple addresses at once (max 50) | "Get coordinates for all these offices" |
What ships with it
4 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.
- yesterday First seen · 124 lines · 80 tokens per session scan A 6c0ab3bdb768
google-maps is a skill published in the GitHub repository cablate/mcp-google-map (438 stars, last pushed 16d ago), licensed MIT. It adds 80 tokens to every session and 1,542 once invoked, about $0.0004 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 2026-08-30.
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