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geo-infer-ai

geo-infer-ai is a skill for Claude Code, Codex from ActiveInferenceInstitute/GEO-INFER. It costs 46 tokens per session (837 once invoked), scanned A, original, no licence file.

A guide to machine-learning work with geographic data. It covers training models, preparing location-based features, building prediction pipelines, and choosing between modeling methods.

In plain words
What is it for?
Use it to train spatial models, engineer geographic features, create prediction pipelines, and compare machine-learning approaches for location-based problems.
Why use it?
Geographic data has spatial relationships that ordinary machine-learning workflows may overlook. This guide helps structure model selection and prediction work around those data.

Skill for Claude CodeCodex

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

not rated 15repo changed today A scan 46 tokens custom licence

Good fit Use it to train spatial models, engineer geographic features, create prediction pipelines, and compare machine-learning approaches for location-based problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/activeinferenceinstitute/geo-infer/geo-infer-ai
View source ↗ ActiveInferenceInstitute/GEO-INFER
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-ai
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-ai

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/activeinferenceinstitute/geo-infer/geo-infer-ai"><img src="https://agentmods.dev/badge/skills/activeinferenceinstitute/geo-infer/geo-infer-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 837 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 $0.00046 $0.00837
Opus 5 $0.00023 $0.00418
Sonnet 5 $0.00009 $0.00167
Haiku 4.5 $0.00005 $0.00084

Measured today against content hash 8ad500c60db5, 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-ai 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 28 executable files (examples/basic_classification.py, examples/spatial_prediction.py, setup.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-AI/SKILL.md · 106 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 8ad500c60db5
  2. 5d ago Changed · +48 lines · +3 tokens per session e7c4509b7791
  3. 7d ago First seen · 58 lines · 43 tokens per session scan A 7e1eea8b8b4a

Subscribe to this mod's changes

geo-infer-ai is a skill published in the GitHub repository ActiveInferenceInstitute/GEO-INFER (15 stars, last pushed today), with no licence file. It adds 46 tokens to every session and 837 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 2026-09-04.

Data and AIScientificactive-inferenceagent-workflowsbayesian-inferencedomain-modelinggeospatialh3
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