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 pamelafox/presentation-skills --skill generate-images-maigit clone --depth 1 https://github.com/pamelafox/presentation-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/pamelafox/presentation-skills/generate-images-mai)<a href="https://agentmods.dev/skills/pamelafox/presentation-skills/generate-images-mai"><img src="https://agentmods.dev/badge/skills/pamelafox/presentation-skills/generate-images-mai/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/pamelafox/presentation-skills/generate-images-mai"><img src="https://agentmods.dev/badge/skills/pamelafox/presentation-skills/generate-images-mai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 25 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00065 | $0.01283 |
| Opus 5 | $0.00032 | $0.00642 |
| Sonnet 5 | $0.00013 | $0.00257 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
generate-images-mai 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 6d 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.
Generate and edit images with MAI-Image-2.5
Create an image from text or edit a supplied JPEG or PNG, save the result, and verify that the output is usable.
Requirements
- Python 3.10+.
- A
.envfile in the current directory or one of its parents:
AZURE_API_KEY=your-key
AZURE_IMAGE_ENDPOINT=https://your-resource.services.ai.azure.com/mai/v1/images/generations
The endpoint can be the resource root, /mai/v1/images, /generations, or /edits; the script selects the operation-specific path.
Never read, print, return, commit, or embed the API key in generated files, commands, logs, or chat. Do not create a .env containing a real secret. If configuration is missing, tell the user which variable to add without asking them to send its value through chat.
Procedure
- Determine the requested subject or edit, intended use, output path, dimensions, and visual constraints from the conversation.
- For an edit, confirm that the input is a readable JPEG or PNG. Preserve the original composition or identity unless the request says otherwise.
- If the prompt is underspecified, preserve the user's intent and add only useful visual detail: medium, composition, environment, lighting, palette, camera or rendering style, and important exclusions. Do not introduce brands, people, text, or sensitive attributes the user did not request.
- Default to
1024x1024andgenerated_image.pngfor generation. Generation dimensions must each be at least 768 pixels and contain no more than 1,048,576 total pixels. Edit output is always PNG and dimensions are controlled by the service. - Run generate_image.py with the refined prompt. Pass arguments as separate shell tokens and quote all user-provided values.
Text-to-image generation:
python3 .agents/skills/generate-images-mai/scripts/generate_image.py \
--prompt "A photograph of a red fox in an autumn forest" \
--width 1024 \
--height 1024 \
--output generated_image.png
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.
- 6d ago Changed · +27 lines · -10 tokens per session f7a00856245d
- 12d ago First seen · 73 lines · 75 tokens per session scan A 6d09bbff566c
generate-images-mai is a skill published in the GitHub repository pamelafox/presentation-skills (117 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 1,283 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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