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/ericwang915/pythonclaw/image_gennpx skills add ericwang915/PythonClaw --skill image_gengit clone --depth 1 https://github.com/ericwang915/PythonClawWhat 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 | $0.00058 | $0.00624 |
| Opus 5 | $0.00029 | $0.00312 |
| Sonnet 5 | $0.00012 | $0.00125 |
| Haiku 4.5 | $0.00006 | $0.00062 |
Grade A, and why
image_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 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation
Generate images via the OpenAI Images API.
When to Use
✅ USE this skill when:
- "Generate an image of a sunset over mountains"
- "Create a logo for my project"
- "Draw a cartoon cat wearing a hat"
- "Design a banner for my blog"
- "Make me an illustration of X"
When NOT to Use
❌ DON'T use this skill when:
- Editing or modifying existing images → use image editing tools
- Screenshot capture → use system screenshot tools
- Image format conversion → use
run_commandwith ImageMagick/Pillow - Web image search → use
web_searchtool
Setup
Requires an OpenAI API key with Images API access.
Configure in pythonclaw.json:
"skills": {
"image_gen": {
"apiKey": "sk-your-openai-key"
}
}
Or set OPENAI_API_KEY environment variable.
Commands
Generate an image
python {skill_path}/generate.py "a serene mountain lake at sunset, watercolor style"
Options
# Specific model
python {skill_path}/generate.py "prompt" --model dall-e-3
# Size options
python {skill_path}/generate.py "prompt" --size 1792x1024
# Quality
python {skill_path}/generate.py "prompt" --quality hd
# Style (dall-e-3 only)
python {skill_path}/generate.py "prompt" --style vivid
# Output directory
python {skill_path}/generate.py "prompt" --output ./images/
Model-Specific Parameters
DALL-E 3:
- Sizes:
1024x1024,1792x1024,1024x1792 - Quality:
standard,hd - Style:
vivid,natural - Generates 1 image at a time
DALL-E 2:
- Sizes:
256x256,512x512,1024x1024 - Quality:
standardonly - Can generate multiple images
Notes
- Output is saved as PNG files in the specified directory (default: current dir)
- Each generation costs API credits (DALL-E 3 HD ~$0.08/image)
- Prompts are sometimes rewritten by the API for safety
- Use
--style naturalfor more photographic results
Resources
| File | Description |
|---|---|
generate.py |
OpenAI Images API wrapper |
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.
- 2d ago First seen · 100 lines · 58 tokens per session scan A 265b08abe575
image_gen is a skill published in the GitHub repository ericwang915/PythonClaw (41 stars, last pushed 24d ago), licensed MIT. It adds 58 tokens to every session and 624 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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