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 tadeukaiba/mcp-media-toolkit --skill image-gemini-s3git clone --depth 1 https://github.com/tadeukaiba/mcp-media-toolkitWrote 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/tadeukaiba/mcp-media-toolkit/image-gemini-s3)<a href="https://agentmods.dev/skills/tadeukaiba/mcp-media-toolkit/image-gemini-s3"><img src="https://agentmods.dev/badge/skills/tadeukaiba/mcp-media-toolkit/image-gemini-s3/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/tadeukaiba/mcp-media-toolkit/image-gemini-s3"><img src="https://agentmods.dev/badge/skills/tadeukaiba/mcp-media-toolkit/image-gemini-s3.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 | $0.00129 | $0.01472 |
| Opus 5 | $0.00064 | $0.00736 |
| Sonnet 5 | $0.00026 | $0.00294 |
| Haiku 4.5 | $0.00013 | $0.00147 |
Grade A, and why
image-gemini-s3 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 10d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Image with Gemini and Upload to S3
One-shot workflow: take a user request, optimize the prompt, generate an image with Gemini, upload it to S3-compatible storage, and return the public URL. This is the most common image use case — the user almost always wants a URL they can use.
When to use this skill vs /generate-image-gemini
- Use this skill (
image-gemini-s3) when the user will want the image online — embedding in docs, sharing a link, using in a project, posting somewhere. - Use
/generate-image-geminiwhen the user explicitly only wants a local file, is in a disconnected environment, or hasn't configured S3.
When in doubt, default to this skill. Adding an upload takes almost no extra time and the user ends up with both the local file path AND the URL.
Workflow
-
Capture the request. If the prompt is vague, ask one focused question to lock down the subject. Otherwise proceed.
-
Optimize the prompt. Rewrite the user's description into a detailed image prompt. See the Prompt Optimization section below — it's the same approach as
/generate-image-gemini, and it's the main reason this skill produces better results than calling the raw tool. -
Pick defaults.
quality:fast(Nano Banana, 1K) — this is the right default. It's cheap and quick, and most image requests don't need more. Move up tobalancedonly when the user signals they care about quality ("for my landing page", "this needs to look polished"). Usequalityonly when the user explicitly asks for photorealistic/print-quality work — warn them it takes several minutes.aspect_ratio: match the use case —1:1for avatars/icons,16:9for landing pages/banners,9:16for portraits/stories,4:3for photos,3:4for postersformat:pngdefault,webpif the user mentioned web performance,jpegonly for large photographic content
-
Call the tool. Use
mcp__mcp-media-toolkit__generate_and_upload_gemini_s3with the optimized prompt and chosen options. This runs generation and upload in one call, so partial failures are handled cleanly.
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.
- 10d ago First seen · 87 lines · 129 tokens per session scan A 7a8e4302955d
image-gemini-s3 is a skill published in the GitHub repository tadeukaiba/mcp-media-toolkit (0 stars, last pushed 5mo ago), licensed MIT. It adds 129 tokens to every session and 1,472 once invoked, about $0.0006 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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