What is geo-infer-pep?

A geospatial public-engagement toolkit for projects that involve people and places. It supports stakeholder records, public consultations, and participation data linked to geographic planning.

Use it to build customer relationship management (CRM) tools for spatial stakeholders, run geographic planning consultations, track community engagement, and analyse participation by location.

It keeps community input and stakeholder activity organised alongside the locations they concern. This helps teams manage consultations and assess participation without separating the map context from the engagement work.

geo-infer-pep — Skill for Claude Code and Codex by ActiveInferenceInst

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-pep

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/activeinferenceinstitute/geo-infer/geo-infer-pep/github.svg)](https://agentmods.dev/skills/activeinferenceinstitute/geo-infer/geo-infer-pep)

Your own site

<a href="https://agentmods.dev/skills/activeinferenceinstitute/geo-infer/geo-infer-pep"><img src="https://agentmods.dev/badge/skills/activeinferenceinstitute/geo-infer/geo-infer-pep/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/activeinferenceinstitute/geo-infer/geo-infer-pep"><img src="https://agentmods.dev/badge/skills/activeinferenceinstitute/geo-infer/geo-infer-pep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,451 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.

Model	Per session	Once invoked
Fable 5.1	$0.00055	$0.01451
Opus 5	$0.00028	$0.00726
Sonnet 5	$0.00011	$0.00290
Haiku 4.5	$0.00006	$0.00145

Measured 5d ago against content hash 34ff0e539e3f, 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-pep 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 5d ago.

The scan reads SKILL.md. This mod also ships 32 executable files (examples/basic_crm_example.py, examples/basic_hr_example.py, examples/onboarding_workflow_example.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-PEP/SKILL.md · 170 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.

5d ago Changed · +115 lines · +17 tokens per session 34ff0e539e3f
7d ago First seen · 55 lines · 38 tokens per session scan A 253c1883f59d

Subscribe to this mod's changes

geo-infer-pep is a skill published in the GitHub repository ActiveInferenceInstitute/GEO-INFER (15 stars, last pushed today), with no licence file. It adds 55 tokens to every session and 1,451 once invoked, about $0.0003 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.

Analytics and metrics Project management active-inference agent-workflows bayesian-inference domain-modeling geospatial h3

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