generate2dmap

A tool for creating and revising production-ready 2D game maps, including their visual assets, objects, and collision areas. It can target a chosen game engine or export format.

In plain words
What is it for?
Use it to make RPG maps, monster-taming maps, and tactical arenas, then define how they work in a game.
Why use it?
It brings map design decisions into one workflow instead of leaving the artwork, gameplay objects, collisions, and engine output disconnected.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/neversight/learn-skills.dev/generate2dmap
Any agent
npx skills add NeverSight/learn-skills.dev --skill generate2dmap
Clone the repo
git clone --depth 1 https://github.com/NeverSight/learn-skills.dev

Made for: Claude Code, Codex.

Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,211 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00108 $0.09211
Opus 5 $0.00054 $0.04605
Sonnet 5 $0.00022 $0.01842
Haiku 4.5 $0.00011 $0.00921

Measured 3d ago against content hash 95c37d5ada1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

generate2dmap 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 3d 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.

data/skills-md/0x0funky/agent-sprite-forge/generate2dmap/SKILL.md · 371 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

12 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. 3d ago First seen · 371 lines · 108 tokens per session scan A 95c37d5ada1f

Subscribe to this mod's changes

generate2dmap is a skill published in the GitHub repository NeverSight/learn-skills.dev (207 stars, last pushed 3d ago), with no licence file. It adds 108 tokens to every session and 9,211 once invoked, about $0.0005 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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