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 ckorhonen/claude-skills --skill ascii-pixel-artgit clone --depth 1 https://github.com/ckorhonen/claude-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/ckorhonen/claude-skills/ascii-pixel-art)<a href="https://agentmods.dev/skills/ckorhonen/claude-skills/ascii-pixel-art"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/ascii-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/ckorhonen/claude-skills/ascii-pixel-art"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/ascii-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 | $0.00058 | $0.01493 |
| Opus 5 | $0.00029 | $0.00746 |
| Sonnet 5 | $0.00012 | $0.00299 |
| Haiku 4.5 | $0.00006 | $0.00149 |
Grade A, and why
ascii-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 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ASCII Pixel Art Generator
Generate animated ASCII art from images with subject detection, blurred pixelated backgrounds, and dynamic visual effects.
Description
Transform images into interactive ASCII art with sophisticated visual effects. Uses computer vision to detect subjects, creates atmospheric backgrounds, and adds cinematic animations including pulse effects, diagonal sweeps, random flickers, and interactive hover responses.
When to Use
✅ Use when:
- Creating artistic visualizations of photos or portraits
- Generating retro/cyberpunk aesthetic content
- Building interactive web art pieces
- Converting images to animated HTML displays
- Creating unique social media content
- Demonstrating creative coding techniques
❌ Do NOT use when:
- Simple text-based ASCII art is sufficient
- Performance is critical (heavy processing required)
- Accessibility is paramount (relies on visual effects)
- Source image has no clear subject (works best with portraits/objects)
- Output needs to be static (this generates animated HTML)
Prerequisites
Required packages:
pip install pillow rembg numpy
System requirements:
- Python 3.7+
- ~500MB RAM for image processing
- rembg model downloads automatically (~180MB)
Usage
Basic Command
python3 scripts/ascii_pixel_effect.py <input_image> [output.html]
Examples
# Generate with default output name
python3 scripts/ascii_pixel_effect.py portrait.jpg
# Specify output file
python3 scripts/ascii_pixel_effect.py photo.png artwork.html
# Process multiple images
for img in *.jpg; do
python3 scripts/ascii_pixel_effect.py "$img" "${img%.jpg}.html"
done
How It Works
7-Step Pipeline
1. Load and Resize
- Opens image, converts to RGB
- Resizes to 900px width (maintains aspect ratio)
- Uses LANCZOS filter for high-quality downscaling
2. Build Blurred Background
- Applies Gaussian blur (radius=14)
- Darkens by 35% (multiply by 0.65)
- Desaturates 50% (blend with luminance grayscale)
- Pixelates using BOX filter downscale + NEAREST upscale
- Creates atmospheric base layer
What ships with it
2 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.
- 12d ago First seen · 195 lines · 58 tokens per session scan A 46b894b35ec5
ascii-pixel-art is a skill published in the GitHub repository ckorhonen/claude-skills (14 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 1,493 once invoked, about $0.0003 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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