Create, extract, and apply portable visual design systems via visual-style.md files. Use when: (1) Creating a visual-style.md design system from scratch, (2) Extracting a visual style from a website URL, video, or PDF brand guide, (3) Applying a visual style to HeyGen videos, HTML slides, Figma, or paper.design, (4) Browsing the gallery of pre-built visual styles (Swiss, Saul Bass, Game Boy, etc.), (5) User mentions "visual style", "design system", "brand style", or "style guide", (6) Styling a HeyGen video with a consistent design language.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
High likelihood of indirect prompt injection because the **Extract** workflow (“Receive source” → “Analyze”) uses **user-provided free-form URLs/images/videos/PDFs** (outsider-authored web content) which are fetched/parsed at runtime and then fed back into the LLM via generated `visual-style.md` fields like `style_prompt_full`.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The "Extract from Website" extractor (references/extractors/from-website.md) explicitly fetches a user-provided website at runtime and uses the fetched HTML/CSS to build the style_prompt_full that is then used verbatim (example URL in the docs: https://stripe.com), so external content can directly control prompts.
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