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 OpenKnots/okcode --skill image-gengit clone --depth 1 https://github.com/OpenKnots/okcodeWrote 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/openknots/okcode/image-gen)<a href="https://agentmods.dev/skills/openknots/okcode/image-gen"><img src="https://agentmods.dev/badge/skills/openknots/okcode/image-gen/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/openknots/okcode/image-gen"><img src="https://agentmods.dev/badge/skills/openknots/okcode/image-gen.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 | $0.00013 | $0.00133 |
| Opus 5.5 | $0.00005 | $0.00053 |
| Sonnet 5.5 | $0.00003 | $0.00027 |
| Haiku 4.5 | $0.00001 | $0.00013 |
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 1mo 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.
What it actually says
Image Gen
When to use this skill
- Use when the task needs generated or edited raster imagery.
What this skill does
- Chooses image generation or editing workflows that fit the requested output.
Implementation
- Clarify the intended artifact, dimensions, and style before generating.
Best practices
- Prefer code-native design changes over image generation when the asset should remain editable.
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.
- 1mo ago First seen · 30 lines · 13 tokens per session scan A 02bcb7c5942b
image-gen is a skill published in the GitHub repository OpenKnots/okcode (24 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 133 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
docx-press
Teaches agents how to author Markdown that renders cleanly into DOCX via writedocx, with heading hierarchy (up to 6 levels), tables, lists, blockquotes, code blocks, citations, embedded images, SVG diagrams (rendered to PNG first), and document structure patterns for reports, proposals, and technical documents.
alt-text-writer
Writes descriptive alt text for editorial images following WCAG accessibility guidelines — concise enough for screen readers, specific enough to convey the image's editorial purpose.
inno-figure-gen
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).
image-rights-checker
Reviews the details of a specific image and flags potential rights clearance issues before publication, identifying which permissions you likely need and which questions to bring to your legal or picture desk.
layout-placement-advisor
Recommends where to place visual elements — images, pull quotes, infographics, and sidebars — within a specific article, based on the article's structure, pacing, and editorial logic.
vision
Analyze images, screenshots, diagrams, and visual content - Use when you need to understand visual content like screenshots, architecture diagrams, UI mockups, or error screenshots.