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ascii-city-engine

ascii-city-engine is a skill for Claude Code, Codex from magnus919/agent-skills. It costs 72 tokens per session (914 once invoked), scanned A, original, MIT.

A portable first-person city experience rendered as colored ASCII characters, using public terrain, building, and road data. GIS means geographic information system data about places and their features.

In plain words
What is it for?
Use it to build walking experiences for real cities, convert public geographic data into city packs, validate those packs offline, and test terrain-following movement and solid building footprints.
Why use it?
It keeps the city-specific data separate from the engine and checks that terrain, movement, and building boundaries are valid before use.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 76repo +9 yesterday A scan SkillSpector: pass 72 tokens original MIT

Good fit Use it to build walking experiences for real cities, convert public geographic data into city packs, validate those packs offline, and test terrain-following movement and solid building footprints.

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Install with agentmods
npx agentmods add skills/magnus919/agent-skills/ascii-city-engine
View source ↗ magnus919/agent-skills
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 magnus919/agent-skills --skill ascii-city-engine
Clone the repo
git clone --depth 1 https://github.com/magnus919/agent-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin ascii-city-engine — /plugin install ascii-city-engine after adding the marketplace above.

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 ascii-city-engine

README.md
[![agentmods](https://agentmods.dev/badge/skills/magnus919/agent-skills/ascii-city-engine/github.svg)](https://agentmods.dev/skills/magnus919/agent-skills/ascii-city-engine)
Your own site
<a href="https://agentmods.dev/skills/magnus919/agent-skills/ascii-city-engine"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/ascii-city-engine/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 ascii-city-engine

Your own site · 80×15
<a href="https://agentmods.dev/skills/magnus919/agent-skills/ascii-city-engine"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/ascii-city-engine.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 914 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 pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.00914
Opus 5 $0.00036 $0.00457
Sonnet 5 $0.00014 $0.00183
Haiku 4.5 $0.00007 $0.00091

Measured 12d ago against content hash dc1a22de7998, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ascii-city-engine 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-city-pack.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.

ascii-city-engine/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ASCII City Engine

Build a portable city experience in three layers: an engine, a city-provider contract, and a city pack. Keep city-specific facts out of engine code.

Workflow

  1. Define the pack boundary and local meter-based CRS.
  2. Acquire elevation, building, and road/path data from public sources.
  3. Verify downloads, licenses, units, and provenance before conversion.
  4. Reproject all geometry to local meters and emit the manifest plus world tiles.
  5. Validate the pack offline: 
    python3 scripts/validate-city-pack.py path/to/city-pack
  6. Load the pack's first tile in assets/ascii-city-engine.html and test movement, grade following, and solid footprints.
  7. Record data limitations and human acceptance evidence.

Required invariants

  • Compute feet_z from terrain and eye_z from feet plus eye height.
  • Reject null terrain, over-steep steps, and movement touching a solid footprint.
  • Use deterministic building colors and clear missed rays every frame.
  • Treat v1 as one ground height per (x, y) column; reserve, but do not implement, a surface graph.
  • Keep the engine independent of any city, vendor, agent harness, or private infrastructure.
  • Do not commit large or full-resolution source data. Commit only a small redistributable sample; document acquisition for the rest.

Reference routing

Read the full file on GitHub · 64 lines

Files

What ships with it

14 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. 12d ago First seen · 64 lines · 72 tokens per session scan A dc1a22de7998

Subscribe to this mod's changes

ascii-city-engine is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 914 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.

Game developmentLLMagent-skillsagentskillsai-agentsautomation
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