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 jgkme/img-gen-mcp --skill website-asset-workflowgit clone --depth 1 https://github.com/jgkme/img-gen-mcpWrote 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/jgkme/img-gen-mcp/website-asset-workflow)<a href="https://agentmods.dev/skills/jgkme/img-gen-mcp/website-asset-workflow"><img src="https://agentmods.dev/badge/skills/jgkme/img-gen-mcp/website-asset-workflow/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/jgkme/img-gen-mcp/website-asset-workflow"><img src="https://agentmods.dev/badge/skills/jgkme/img-gen-mcp/website-asset-workflow.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 | $0.00040 | $0.00742 |
| Opus 5 | $0.00020 | $0.00371 |
| Sonnet 5 | $0.00008 | $0.00148 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
website-asset-workflow 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Website Asset Workflow
Use this skill when the task is to create or prepare website-ready assets such as logos, favicons, app icons, OG images, hero art, header artwork, or transparent cutouts.
Typical workflow
- Generate or edit the source image with
generate_image,kilo_generate_image, oredit_image. - Remove the background with
background_removewhen you need transparency. - Crop or trim with
auto_croporfinalize_image. - Resize to the target delivery size with
resize_imageorfinalize_image. - Optimize the final asset with
optimize_image.
MCP-aware guidance
- Use
list_image_modelsbefore a workflow if you need to verify local or cloud provider availability. - Use
get_provider_statuswhen you want to confirm local bootstrap, endpoint, or default-provider settings. - Use
provider=autofor generation when the model slug already implies the backend family. - Use
submit_taskif the image job is long-running and the client wants polling. - Use
batch_generate_imagefor logo variants, favicon concepts, or social image sweeps.
Common outputs
- Logo masters in transparent PNG
- Favicons and app icons at square sizes
- Social previews for Open Graph and X cards
- Website hero illustrations and header images
- Product cutouts on transparent or solid backgrounds
Suggested target sizes
- Logo mark:
1024x1024master, then derive smaller sizes - Favicon source: square image with strong silhouette, then export common favicon sizes outside the MCP if needed
- Open Graph image:
1200x630 - Social square:
1080x1080 - Hero/banner:
1600x900or1920x1080
Tool guidance
- Use
input_mode=image-to-imagefor guided logo refreshes or brand variations. - Use
reference_imagewhen the source should stay visually close to an existing asset. - Use
background_removewithimglyfor quick logo cleanup andwithoutbgfor harder edges. - Use
finalize_imagewhen you need trim, crop, resize, and optional background removal in one pass. - Use
optimize_imagefor delivery-ready PNG, WebP, JPEG, or AVIF output. - Use
output_pathto place the file exactly where the website build expects it.
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 · 70 lines · 40 tokens per session scan A 8dcbb544ebc9
website-asset-workflow is a skill published in the GitHub repository jgkme/img-gen-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 742 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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