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.
npx skills add 0xheycat/isometric-game-skills --skill seamless-isometric-terraingit clone --depth 1 https://github.com/0xheycat/isometric-game-skillsWrote 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.
[](https://agentmods.dev/skills/0xheycat/isometric-game-skills/seamless-isometric-terrain)<a href="https://agentmods.dev/skills/0xheycat/isometric-game-skills/seamless-isometric-terrain"><img src="https://agentmods.dev/badge/skills/0xheycat/isometric-game-skills/seamless-isometric-terrain/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.
<a href="https://agentmods.dev/skills/0xheycat/isometric-game-skills/seamless-isometric-terrain"><img src="https://agentmods.dev/badge/skills/0xheycat/isometric-game-skills/seamless-isometric-terrain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00125 | $0.01194 |
| Opus 5 | $0.00063 | $0.00597 |
| Sonnet 5 | $0.00025 | $0.00239 |
| Haiku 4.5 | $0.00013 | $0.00119 |
Grade A, and why
seamless-isometric-terrain 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.
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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seamless Isometric Terrain (Hay Day-style) — Skill
What this skill does
This skill produces isometric ground tiles that snap together into a clean map with no seams, no gaps, and no color chaos — the look of mobile farm games like Hay Day. It targets ComfyUI on an RTX 3060 12GB / 32GB RAM but the recipe works on any SDXL-capable GPU.
The single most important idea: a map looks seamless when every tile shares the exact same diamond shape and thickness. Get the shape consistent first (fixed seed), then vary only the surface texture. Everything in this skill enforces that rule.
Goal: tiles that connect into a continuous map. This is a reference render — production tiles are generated one-by-one in ComfyUI and assembled by the game engine.
When to use this skill
- The user wants to make terrain / ground tiles for an isometric game or map.
- Tiles don't line up: visible edges, seams, gaps, or mismatched sizes/angles.
- Tiles have mixed/irregular colors, stray grass rims, or random props.
- The user needs the ComfyUI workflow, prompts, settings, or transparent-PNG export for tiles.
- The user asks to extend a tile set (seasons, new materials like sand/stone/snow).
How to use this skill (workflow at a glance)
- Read the overview →
references/01-overview.md(concepts + the golden rule). - Set up ComfyUI with the proven recipe →
references/02-production-guide.md. - Copy the prompts (positive/negative + per-tile table) →
references/03-prompts.md. - Follow the rules + the avoid-list →
references/04-rules.md. - If a tile is wrong, diagnose it →
references/05-troubleshooting.md. - Build the full set / extend it →
references/06-tileset-spec.md.
When running the workflow programmatically, see scripts/ for the ComfyUI graph
builder and the rembg (transparent background) node plan.
The golden rule (never break this)
Fix the seed. Keep the prompt short. Same shape for every tile.
Seam problems are almost never a texture problem — they are a shape consistency problem. Use one FIXED seed for the whole set so every tile is the same diamond, then only swap the short surface phrase per material.
What ships with it
13 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.
- assets/01-goal-map.png 201 KB
- assets/02-single-grass-tile.png 171 KB
- assets/03-tile-set.png 85 KB
- assets/04-wrong-vs-right.png 224 KB
- references/01-overview.md 2.4 KB
- references/02-production-guide.md 2.6 KB
- references/03-prompts.md 2.4 KB
- references/04-rules.md 2.2 KB
- references/05-troubleshooting.md 2.6 KB
- references/06-tileset-spec.md 2.3 KB
- scripts/build_workflow.py 6.6 KB runs code
- scripts/MEOWART_iso_tile_transparent_resepD_v3.json 11 KB
- scripts/README.md 1.5 KB
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.
- 12d ago First seen · 100 lines · 125 tokens per session scan A 6f1e569507d9
seamless-isometric-terrain is a skill published in the GitHub repository 0xheycat/isometric-game-skills (15 stars, last pushed 1mo ago), licensed MIT. It adds 125 tokens to every session and 1,194 once invoked, about $0.0006 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 2026-08-31.
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