A guide for writing geospatial SQL, which queries location data such as roads, buildings, and coordinates, across several data warehouses and databases.

Use it to query location data in BigQuery, DuckDB, Snowflake, Wherobots, or Postgres and render map results with Dekart.

It helps produce queries that control usage costs, check their results, and optionally show the data on an interactive map.

geosql — Skill for Claude Code by dekart-xyz

Install

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.

Any agent

npx skills add dekart-xyz/geosql --skill geosql

Clone the repo

git clone --depth 1 https://github.com/dekart-xyz/geosql

Made for: Claude Code.

Or install geosql, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dekart-xyz/geosql/geosql/github.svg)](https://agentmods.dev/skills/dekart-xyz/geosql/geosql)

Your own site

<a href="https://agentmods.dev/skills/dekart-xyz/geosql/geosql"><img src="https://agentmods.dev/badge/skills/dekart-xyz/geosql/geosql/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dekart-xyz/geosql/geosql"><img src="https://agentmods.dev/badge/skills/dekart-xyz/geosql/geosql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,271 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to high

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 →

high Agent Snooping · line 189
Skill accesses MCP server configuration files (mcp.json). MCP configs contain server URLs, authentication tokens, and tool definitions — reading them allows the skill to discover and potentially abuse other tool integrations.

Fix: Remove all code or instructions that read MCP configuration files (mcp.json). MCP server details should be managed by the agent runtime, not read by individual skills.
medium MCP Rug Pull · line 27
Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.

Fix: Pin the image: image:tag or image@sha256:abc123

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00039	$0.05271
Opus 5	$0.00019	$0.02635
Sonnet 5	$0.00008	$0.01054
Haiku 4.5	$0.00004	$0.00527

Measured 12d ago against content hash e2a998f65e8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

geosql 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.

skills/geosql/SKILL.md · 324 lines

How it starts

The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GeoSQL

Tools/CLI

This skill uses the following CLIs:

dekart for running BigQuery, DuckDB, Snowflake, Wherobots, and Postgres SQL and rendering maps
bq to run BigQuery SQL when dekart BigQuery integration is not available.
snow to run Snowflake SQL when dekart Snowflake integration is not available.
Wherobots and Postgres have no local CLI fallback; they are dekart-only in this skill.

Before using CLIs, verify availability if it was not done before:

for c in bq snow dekart; do command -v $c >/dev/null && echo $c=ok || echo $c=missing; done

If no CLI is available, suggest installing the dekart CLI: pip install dekart && dekart init. dekart init is an interactive command that must be run by the user.

The user has 3 options in dekart init:

cloud.dekart.xyz (Dekart-hosted control plane, easier setup)
localhost (docker run -p 8080:8080 dekartxyz/dekart, more secure, requires Docker)
self-hosted

Help the user pick the best installation option for their needs.

If dekart is available, check available connectors:

dekart call --name list_connections --args '{}' --json

If dekart available but not init, ask user to dekart init

Dialect References

Use the matching reference for per-database SQL, CLI examples, and engine-specific caveats:

BigQuery: references/bigquery.md
DuckDB: references/duckdb.md
Snowflake: references/snowflake.md
Postgres / PostGIS: references/postgres.md
Wherobots / Sedona: references/wherobots.md

Required Workflow

Follow these steps in order. Do NOT write a final query until steps 1-3 are complete. Combine each step with examples in matching dialect reference.

Step 1: Discover schema

Discover available data objects before writing any query: start with database/share availability (where applicable), then confirm schemas, tables, and columns. Always verify exact object names and column types from the warehouse metadata; do not assume from general knowledge.

Read the full file on GitHub · 324 lines

Files

What ships with it

6 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.

Changes

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 · 324 lines · 39 tokens per session scan A e2a998f65e8e

Subscribe to this mod's changes

geosql is a skill published in the GitHub repository dekart-xyz/geosql (646 stars, last pushed 11d ago), licensed MIT. It adds 39 tokens to every session and 5,271 once invoked, about $0.0002 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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