Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/kevinnft/ai-agent-skills/pixel-art)<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/pixel-art"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/pixel-art/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/kevinnft/ai-agent-skills/pixel-art"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/pixel-art.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 | $0.00020 | $0.02111 |
| Opus 5 | $0.00010 | $0.01056 |
| Sonnet 5 | $0.00004 | $0.00422 |
| Haiku 4.5 | $0.00002 | $0.00211 |
Grade A, and why
pixel-art 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 11d 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
91% identical to pixel-art — 11 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pixel Art
Convert any image into retro pixel art, then optionally animate it into a short MP4 or GIF with era-appropriate effects (rain, fireflies, snow, embers).
Two scripts ship with this skill:
scripts/pixel_art.py— photo → pixel-art PNG (Floyd-Steinberg dithering)scripts/pixel_art_video.py— pixel-art PNG → animated MP4 (+ optional GIF)
Each is importable or runnable directly. Presets snap to hardware palettes when you want era-accurate colors (NES, Game Boy, PICO-8, etc.), or use adaptive N-color quantization for arcade/SNES-style looks.
When to Use
- User wants retro pixel art from a source image
- User asks for NES / Game Boy / PICO-8 / C64 / arcade / SNES styling
- User wants a short looping animation (rain scene, night sky, snow, etc.)
- Posters, album covers, social posts, sprites, characters, avatars
Workflow
Before generating, confirm the style with the user. Different presets produce very different outputs and regenerating is costly.
Step 1 — Offer a style
Call clarify with 4 representative presets. Pick the set based on what the
user asked for — don't just dump all 14.
Default menu when the user's intent is unclear:
clarify(
question="Which pixel-art style do you want?",
choices=[
"arcade — bold, chunky 80s cabinet feel (16 colors, 8px)",
"nes — Nintendo 8-bit hardware palette (54 colors, 8px)",
"gameboy — 4-shade green Game Boy DMG",
"snes — cleaner 16-bit look (32 colors, 4px)",
],
)
When the user already named an era (e.g. "80s arcade", "Gameboy"), skip
clarify and use the matching preset directly.
Step 2 — Offer animation (optional)
If the user asked for a video/GIF, or the output might benefit from motion, ask which scene:
clarify(
question="Want to animate it? Pick a scene or skip.",
choices=[
"night — stars + fireflies + leaves",
"urban — rain + neon pulse",
"snow — falling snowflakes",
"skip — just the image",
],
)
What ships with it
6 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.
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.
- 11d ago First seen · 223 lines · 20 tokens per session scan A 2aa3b27a5ba6
pixel-art is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,111 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to pixel-art, differing in 11 lines, and is treated as a copy.
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