Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jxoesneon/Cielnpx agentmods add skills/jxoesneon/ciel/asset-genWrote 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/jxoesneon/ciel/asset-gen)<a href="https://agentmods.dev/skills/jxoesneon/ciel/asset-gen"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/asset-gen/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/jxoesneon/ciel/asset-gen"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/asset-gen.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 | $0.00063 | $0.02028 |
| Opus 5.5 | $0.00025 | $0.00811 |
| Sonnet 5.5 | $0.00013 | $0.00406 |
| Haiku 4.5 | $0.00006 | $0.00203 |
Grade A, and why
asset-gen 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.
This is a copy
92% identical to asset-gen — 139 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Asset Generator
Generate PNG images (Gemini or xAI Grok) and GLB 3D models (Tripo3D) from text prompts. These are paid APIs — every call costs real money. Tools live at tools/; run from the project root and keep runtime-loaded outputs under assets/.
Models
| Model | Flag | Cost | Best for |
|---|---|---|---|
| Gemini | --model gemini |
5¢ (512) · 7¢ (1K) · 10¢ (2K) · 15¢ (4K) | Precise prompt following — references, characters, 3D refs, exact layouts |
| Grok | --model grok (default) |
2¢ | High quality but imprecise — textures, simple objects, item kits, scenic backgrounds |
Grok produces great-looking output but often ignores specific instructions; reach for Gemini when the result must match what you described.
Images
python3 tools/asset_gen.py image \
--prompt "the full prompt" -o assets/img/car.png
--model (default grok) · --size (default 1K; Gemini also 512/4K) · --aspect-ratio (default 1:1; also 16:9, 9:16, 4:3, 3:4, 3:2, 2:3).
Image-to-image: pass --image ref.png and the model sees the reference — prompt only for what changes (angle, pose, recolor), don't re-describe appearance. Use this for style families (one hero asset → the rest), variants, and multi-view sets.
Small sprites: minimum generation is 1K, so a 1024px image downscaled to 64px looks muddy. Design display sizes ≥128px, or generate a kit (multiple objects in one 1K image) and slice it with tools/grid_slice.py ... --grid 2x2 --names "a,b,c,d", or prompt for bold flat forms that survive downscaling.
Review every PNG before any GLB conversion — a bad image wastes 30¢+ downstream.
What ships with it
1 file 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.
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.
- 1mo ago First seen · 128 lines · 63 tokens per session scan A b0cb34fec7f1
asset-gen is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 63 tokens to every session and 2,028 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to asset-gen, differing in 139 lines, and is treated as a copy.
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