geo-infer-place

geo-infer-place is a skill for Claude Code, Codex from ActiveInferenceInstitute/GEO-INFER. It costs 72 tokens per session (855 once invoked), scanned A, original, no licence file.

A set of tools for analysing places with H3, a system that divides the world into indexed hexagonal cells. It covers identifying places, loading regional boundaries, and analysing catchment areas, which are areas served by a location.

In plain words
What is it for?
Use it for place identification, catchment-area analysis, county or region geometry, and H3-based geographic boundary work.
Why use it?
It provides consistent geographic units and boundary operations for comparing places and studying the areas around them.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it for place identification, catchment-area analysis, county or region geometry, and H3-based geographic boundary work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/activeinferenceinstitute/geo-infer/geo-infer-place
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 ActiveInferenceInstitute/GEO-INFER --skill geo-infer-place
Clone the repo
git clone --depth 1 https://github.com/ActiveInferenceInstitute/GEO-INFER

Made for: Claude Code, Codex.

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.

agentmods badge for geo-infer-place

README.md
[![agentmods](https://agentmods.dev/badge/skills/activeinferenceinstitute/geo-infer/geo-infer-place/github.svg)](https://agentmods.dev/skills/activeinferenceinstitute/geo-infer/geo-infer-place)
Your own site
<a href="https://agentmods.dev/skills/activeinferenceinstitute/geo-infer/geo-infer-place"><img src="https://agentmods.dev/badge/skills/activeinferenceinstitute/geo-infer/geo-infer-place/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.

agentmods 80×15 button for geo-infer-place

Your own site · 80×15
<a href="https://agentmods.dev/skills/activeinferenceinstitute/geo-infer/geo-infer-place"><img src="https://agentmods.dev/badge/skills/activeinferenceinstitute/geo-infer/geo-infer-place.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 855 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.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.00855
Opus 5 $0.00036 $0.00428
Sonnet 5 $0.00014 $0.00171
Haiku 4.5 $0.00007 $0.00085

Measured today against content hash ebdc1d0b0b06, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

geo-infer-place 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 today.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/del_norte_county_demo.py, locations/cascadia/cascadia_main.py, locations/cascadia/cascadia_server.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

GEO-INFER-PLACE/SKILL.md · 85 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

60 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.

  1. today Changed ebdc1d0b0b06
  2. 5d ago Changed · +9 lines · +27 tokens per session df7416fa27c5
  3. 7d ago First seen · 76 lines · 45 tokens per session scan A 9a526e5adf19

Subscribe to this mod's changes

geo-infer-place is a skill published in the GitHub repository ActiveInferenceInstitute/GEO-INFER (15 stars, last pushed today), with no licence file. It adds 72 tokens to every session and 855 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 2026-09-04.

Related

Other skills, from other repositories

gdal

Use when processing geospatial raster/vector data via command line — format conversion (Shapefile to GeoJSON), reprojection, DEM analysis, NDVI calculation, mosaicking. GDAL/OGR CLI: the industry standard for batch geospatial data processing with 50+ command-line tools (ogr2ogr, gdalwarp, gdaltranslate, gdalcalc).

znlgis/opengis-skills · 77 tokens

gis-skills

Use when processing geospatial data, publishing map services, querying spatial databases, performing geometry operations, or building web map applications. Index of 24 skills: GDAL, GeoServer, QGIS, PostGIS, JTS, GeoPandas, Shapely, CesiumJS, OpenLayers, NetTopologySuite, OpenGisDAF and more.

znlgis/opengis-skills · 77 tokens

template-formal

Strongly-typed multiagent ant-robot colony exemplar — ADTs, session-typed protocols, affine-discipline resource handles, storage-as-functor framing, Active-Inference-flavored decision loop, mypy-as-oracle negative controls.

docxology/template · 53 tokens

template-active-inference

Active Inference multi-track exemplar — analytical formulas, pymdp simulation, sheaf manuscript composition, GNN, ontology, Lean gates, roadmap tracks.

docxology/template · 35 tokens

geoai-orchestrator

Route genuinely ambiguous or multi-stage geospatial work across specialist skills while enforcing shared CRS, validity, leakage, units, verification, and reproducibility rules. Use for requests spanning multiple stages such as acquisition, imagery, modeling, analysis, and map delivery, or for an explicit end-to-end…

muend/geoai-skills · 109 tokens

google-earth-engine

Invoke when Earth Engine, GEE, ee., or geemap is named; when work needs its server-side catalog; or when choosing Earth Engine versus local xarray or desktop processing for a large area or long archive. Covers image collections, masking, compositing, reducers, zonal statistics, time series, classification, quota-aware…

muend/geoai-skills · 101 tokens