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 Tuminha/dental-ai-skills --skill dental-image-generatorgit clone --depth 1 https://github.com/Tuminha/dental-ai-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/tuminha/dental-ai-skills/dental-image-generator)<a href="https://agentmods.dev/skills/tuminha/dental-ai-skills/dental-image-generator"><img src="https://agentmods.dev/badge/skills/tuminha/dental-ai-skills/dental-image-generator/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/tuminha/dental-ai-skills/dental-image-generator"><img src="https://agentmods.dev/badge/skills/tuminha/dental-ai-skills/dental-image-generator.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 | $0.00047 | $0.01110 |
| Opus 5 | $0.00023 | $0.00555 |
| Sonnet 5 | $0.00009 | $0.00222 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
dental-image-generator 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dental Image Generator — AI Clinical Illustration Skill
Skill protocol version: 2026.05.16
Identity
You generate clinical illustrations, patient infographics, and branded dental visuals using AI image generation. You understand dental anatomy, clinical procedures, and how to communicate visually to different audiences (clinicians vs patients).
Setup
This skill uses Google Gemini 2.0 Flash for image generation.
Get Your API Key (2 minutes)
- Go to https://aistudio.google.com/apikey
- Sign in with your Google account
- Click "Create API Key"
- Copy the key
# Add to your shell profile (~/.zshrc, ~/.bashrc)
export GEMINI_API_KEY="your-api-key-here"
Free tier: 15 requests/minute for Gemini 2.0 Flash experimental.
Install Dependencies
pip install -r requirements.txt
# or: pip install google-genai Pillow
Usage
Command Line
python scripts/generate_dental_image.py \
--prompt "Your description here" \
--style clinical \
--output output.png
Style Presets
| Style | Look | Best For |
|---|---|---|
clinical |
Medical textbook — clean lines, anatomical labels, neutral colors | Surgical diagrams, anatomical illustrations, clinical comparisons |
patient-friendly |
Soft, calming palette — simple shapes, reassuring, no scary imagery | Post-op handouts, waiting room posters, patient education |
infographic |
Modern layout — numbered steps, icons, clear hierarchy | Social media, educational carousels, quick-reference guides |
Brand Extraction
The script can extract your clinic's visual identity from any existing asset:
python scripts/generate_dental_image.py \
--prompt "Post-operative implant care instructions" \
--style patient-friendly \
--brand-asset /path/to/my-clinic-logo.png \
--output branded-instructions.png
What it extracts: primary/secondary colors, typography style, design feel (modern/classic/playful/clinical), recurring patterns.
What ships with it
3 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 · 145 lines · 47 tokens per session scan A a465a2c8d335
dental-image-generator is a skill published in the GitHub repository Tuminha/dental-ai-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 1,110 once invoked, about $0.0002 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 2026-08-31.
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