world-builder

world-builder is a skill for Claude Code, Codex from devkindhq/ideogram-ai-toolkit. It costs 298 tokens per session (2,729 once invoked), scanned A, original, Apache-2.0.

A staged image-making workflow for developing the setting around an already-trained fictional character model. It explores the character's places, people, culture, landmarks, maps, and visual style.

In plain words
What is it for?
Use it to create and review scenes involving a character's village, family, society, landmarks, maps, and artwork. It requires an existing custom model for the character.
Why use it?
Training a character model establishes the character's appearance but not the world they belong to. The workflow helps develop that world while limiting unnecessary use of the trained model.

Skill for Claude CodeCodex

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

Good fit Use it to create and review scenes involving a character's village, family, society, landmarks, maps, and artwork. It requires an existing custom model for the character.

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Install with agentmods
npx agentmods add skills/devkindhq/ideogram-ai-toolkit/world-builder
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 devkindhq/ideogram-ai-toolkit --skill world-builder
Clone the repo
git clone --depth 1 https://github.com/devkindhq/ideogram-ai-toolkit

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 world-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/world-builder/github.svg)](https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/world-builder)
Your own site
<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/world-builder"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/world-builder/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 world-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/world-builder"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/world-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 298 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,729 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 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 $0.00298 $0.02729
Opus 5.5 $0.00119 $0.01092
Sonnet 5.5 $0.00060 $0.00546
Haiku 4.5 $0.00030 $0.00273

Measured 1mo ago against content hash 7187d0e3a34b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

world-builder 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 1mo 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.

skills/world-builder/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

World Builder

A trained custom model locks one character's likeness. It does not, by itself, tell you what that character's world looks like — the palette its packaging uses, whether it has a village, what its landmarks are, whether "family" scenes read as a community or as a crowd of clones. This skill is the staged pipeline for answering that, developed over several real sessions building out the world around PorchPing's mascot ("Ding-Bot") and generalized here so it applies to any already-trained character.

The whole pipeline is sequenced around one constraint: every image that uses the custom model spends training-specific budget and risks compounding whatever quirks the model has (see references/character-batch-discipline.md), so cheaper no-model passes come first, cheaper batches come before expensive ones, and nothing gets called "done" without a human visually reviewing it.

Prerequisite — do not start without this

A custom model must already exist for the character, trained via the custom-model-training skill (dataset → train_model → get_model polling → custom_model_uri). If the user hasn't mentioned a custom_model_uri, ask for it or run mcp__ideogram__list_models to find it before doing anything else. Don't start generating "world" images against a character description alone — the entire point of this pipeline is testing how a trained model behaves across many contexts, not describing the character freshly in each prompt (which character-model-sheet already does, and which drifts exactly the way custom-model-training's existence is meant to prevent).

Cross-cutting discipline — applies to every step below, no exceptions

Read these two reference files once, before step 1, and re-apply them on every single prompt for the rest of the pipeline:

  • references/palette-lock.md — the locked palette (paper/dominant, primary, secondary, ink/trim, and at most one reserved accent used in exactly one place) must be defined and quoted, verbatim, in every prompt from step 1 onward. A world built on a drifting palette isn't a world, it's six unrelated images.
  • references/anti-slop-discipline.md — the reusable, brand-agnostic ban list (glowing orbs, neural-network nodes, circuit-board textures, gradient washes, stock-photo people, glossy mirror-shine, plastic-toy uncanny valley, and the rest). Run the pre-generation gate in this file before every generate_image / generate_images_bulk call, the same discipline character-model-sheet and brand-identity-sheet already apply to their own single-image gates, scaled up to a multi-batch pipeline.

Read the full file on GitHub · 185 lines

Files

What ships with it

7 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. 1mo ago First seen · 185 lines · 298 tokens per session scan A 7187d0e3a34b

Subscribe to this mod's changes

world-builder is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 298 tokens to every session and 2,729 once invoked, about $0.0012 per session on Opus 5.5. 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 2026-08-31.

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