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 SkyworkAI/Skywork-Skills --skill skywork-designgit clone --depth 1 https://github.com/SkyworkAI/Skywork-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/skyworkai/skywork-skills/skywork-design)<a href="https://agentmods.dev/skills/skyworkai/skywork-skills/skywork-design"><img src="https://agentmods.dev/badge/skills/skyworkai/skywork-skills/skywork-design.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk 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 | $0.00052 | $0.01866 |
| Opus 5 | $0.00026 | $0.00933 |
| Sonnet 5 | $0.00010 | $0.00373 |
| Haiku 4.5 | $0.00005 | $0.00187 |
Grade A, and why
Skywork Design 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 8d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Design — Image Generation & Editing
Generate new images or edit existing ones via the backend image API. Be patient, it takes about 2 minutes to generate an image each time.
Prerequisites
API Key Configuration (Required First)
This skill requires a SKYWORK_API_KEY to be configured in OpenClaw.
If you don't have an API key yet, please visit: https://skywork.ai
For detailed setup instructions, see: references/apikey-fetch.md
Usage
Run the script using absolute path (do NOT cd to skill directory):
Generate new image:
python3 <SKILL_DIR>/scripts/generate_image.py --prompt "description" --filename "output.png" [--aspect-ratio 3:4] [--resolution 1K|2K|4K]
Edit existing image:
python3 <SKILL_DIR>/scripts/generate_image.py --prompt "edit instructions" --filename "output.png" --input-image "source.png" [--aspect-ratio 3:4] [--resolution 2K]
Edit with multiple reference images:
python3 <SKILL_DIR>/scripts/generate_image.py --prompt "combine these styles" --filename "output.png" -i "ref1.png" -i "ref2.png"
Always run from the user's working directory so images save there.
When to Generate vs Edit
- Generation (
--promptonly): Creating new images from scratch — posters, logos, illustrations, photos, infographics. - Editing (
--prompt+--input-image): User provides existing image(s) and wants modifications — style changes, element addition/removal, color adjustments, format conversion.- Notice: Edit api supports character resemblance of up to 4 characters and the fidelity of up to 10 objects in a single workflow
If the user uploads/references images and wants changes, always use --input-image.
Resolution
- 1K — ~1024px, fast drafts
- 2K (default) — ~2048px, good for most deliverables
- 4K — ~4096px, final high-res output
Map user requests: "low/draft" → 1K, "normal/medium/2K" → 2K, "high-res/hi-res/4K/ultra" → 4K.
Aspect Ratio
What ships with it
12 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.
- references/apikey-fetch.md 1.8 KB
- scenarios/branding.md 5.3 KB
- scenarios/brochure.md 6.2 KB
- scenarios/e-commerce.md 7.2 KB
- scenarios/infographic.md 2.7 KB
- scenarios/logo.md 3.3 KB
- scenarios/poster.md 3.0 KB
- scenarios/social-media.md 3.5 KB
- scenarios/storyboard.md 6.0 KB
- scripts/constant.py 81 B runs code
- scripts/generate_image.py 7.3 KB runs code
- scripts/skywork_auth.py 284 B runs code
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.
- 8d ago First seen · 150 lines · 52 tokens per session scan A 143fb05d8b2e
Skywork Design is a skill published in the GitHub repository SkyworkAI/Skywork-Skills (202 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 1,866 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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