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 agentmods add skills/cxcscmu/skilllearnbench/python-pillow-graphicsnpx skills add cxcscmu/SkillLearnBench --skill python-pillow-graphicsgit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWhat 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 | $0.00025 | $0.00831 |
| Opus 5 | $0.00013 | $0.00415 |
| Sonnet 5 | $0.00005 | $0.00166 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
python-pillow-graphics 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 2d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Pillow Graphics Generation
Overview
Pillow (PIL) is the standard Python library for image manipulation and creation. It's ideal for generating technical diagrams, posters, and graphics with precise control over colors, shapes, and text.
Installation
pip install Pillow
Key Concepts
Image Creation
from PIL import Image, ImageDraw, ImageFont
# Create a new image with specific background color
width, height = 1920, 1200
background_color = (240, 240, 240) # RGB tuple
image = Image.new('RGB', (width, height), background_color)
draw = ImageDraw.Draw(image)
Color Management
- RGB Tuples: (R, G, B) where each value is 0-255
- Hex to RGB Conversion:
def hex_to_rgb(hex_color): hex_color = hex_color.lstrip('#') return tuple(int(hex_color[i:i+2], 16) for i in (0, 2, 4))
Drawing Shapes
# Rectangles
draw.rectangle([x1, y1, x2, y2], fill=color, outline=color, width=stroke)
# Circles/Ellipses
draw.ellipse([x1, y1, x2, y2], fill=color, outline=color)
# Lines
draw.line([(x1, y1), (x2, y2)], fill=color, width=stroke_width)
# Polygons (for 3D perspective)
draw.polygon([(x1, y1), (x2, y2), (x3, y3)], fill=color, outline=color)
Typography
# Load system fonts or TTF files
try:
font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", size=48)
except:
font = ImageFont.load_default()
# Draw text
draw.text((x, y), "TEXT", fill=color, font=font, anchor="lm") # anchor: "lm"=left-middle
Best Practices
- Use anchor parameter for precise text positioning
- Work with RGB tuples consistently throughout
- Set image DPI metadata for high-quality output
- Use layers approach: background → shapes → text → details
- Save as PNG for transparency or high-quality technical graphics
Saving Output
image.save('/path/to/image.png', quality=95, dpi=(300, 300))
Advanced Techniques
Creating 3D Perspective
Use polygons and shading to create depth:
# Front face (lighter)
draw.polygon([(x1, y1), (x2, y2), (x3, y3), (x4, y4)], fill=light_color)
# Side face (darker for depth)
draw.polygon([(x2, y2), (x3, y3), (x5, y5), (x6, y6)], fill=dark_color)
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.
- 2d ago First seen · 104 lines · 25 tokens per session scan A 900048eeae2d
python-pillow-graphics is a skill published in the GitHub repository cxcscmu/SkillLearnBench (82 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 831 once invoked, about $0.0001 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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