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 maystudios/claude-skills --skill gemini-image-gengit clone --depth 1 https://github.com/maystudios/claude-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/maystudios/claude-skills/gemini-image-gen)<a href="https://agentmods.dev/skills/maystudios/claude-skills/gemini-image-gen"><img src="https://agentmods.dev/badge/skills/maystudios/claude-skills/gemini-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/maystudios/claude-skills/gemini-image-gen"><img src="https://agentmods.dev/badge/skills/maystudios/claude-skills/gemini-image-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00131 | $0.02142 |
| Opus 5.5 | $0.00052 | $0.00857 |
| Sonnet 5.5 | $0.00026 | $0.00428 |
| Haiku 4.5 | $0.00013 | $0.00214 |
Grade A, and why
gemini-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 2mo 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Image Generation via Chrome
Generate images through Google Gemini's web interface using Chrome browser automation. Built on the Nano Banana / Gemini 3 image generation models.
Prerequisites
- Chrome browser with the Claude-in-Chrome extension installed and active
- User must be logged into their Google account at https://gemini.google.com
- Chrome MCP tools available (
mcp__claude-in-chrome__*)
Tool Mapping
| Action | MCP Tool |
|---|---|
| Get tab context | mcp__claude-in-chrome__tabs_context_mcp |
| Create new tab | mcp__claude-in-chrome__tabs_create_mcp |
| Navigate to URL | mcp__claude-in-chrome__navigate |
| Click, type, screenshot, hover, scroll, wait | mcp__claude-in-chrome__computer |
| Find elements by description | mcp__claude-in-chrome__find |
| Read page accessibility tree | mcp__claude-in-chrome__read_page |
| Set form values | mcp__claude-in-chrome__form_input |
| Upload reference images | mcp__claude-in-chrome__upload_image |
| Extract page text | mcp__claude-in-chrome__get_page_text |
Workflow
Step 1: Initialize Browser Session
1. Call tabs_context_mcp to discover existing tabs
2. Call tabs_create_mcp to create a fresh tab
3. Navigate to https://gemini.google.com/app
4. Take a screenshot to verify the page loaded
Step 2: Start a New Chat with Image Generation Enabled
1. Use find to locate the "New chat" button (top-left area / sidebar), then click it with computer
2. Take a screenshot with computer to confirm the new chat is open
3. Use find to locate the "Tools" or settings area in the chat interface
4. Enable "Image generation" / "Bilderstellung" tool by clicking it
5. Take a screenshot to confirm image generation is enabled
Step 3: Upload Reference Images (if provided)
If the user provides reference images (up to 14 supported), upload them BEFORE submitting the prompt:
1. Use find to locate the attachment/upload button in the chat input area
2. For each reference image:
a. Click the upload button with computer
b. Use upload_image to upload the file to the file input or drop zone
3. Supported formats: PNG, JPEG, WebP, HEIC, HEIF
4. Verify uploads appear in the chat input area via screenshot
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.
- 2mo ago First seen · 200 lines · 131 tokens per session scan A 8992becfdc5f
gemini-image-gen is a skill published in the GitHub repository maystudios/claude-skills (26 stars, last pushed 2mo ago), licensed MIT. It adds 131 tokens to every session and 2,142 once invoked, about $0.0005 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.
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