Converts Stitch designs into modular Vite and React components, or syncs/updates existing React components to align with the latest Stitch designs, using system-level networking and AST-based validation.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill requires the agent to embed MCP-provided download URLs verbatim into shell commands (e.g., bash scripts/fetch-stitch.sh "[htmlCode.downloadUrl]"), which can contain presigned tokens or secrets and thus forces the LLM to handle/output secret values directly.
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.
SKILL.md Phase 1 instructs calling Stitch MCP `get_screen` and then running `bash scripts/fetch-stitch.sh "<downloadUrl>" ...` to download outsider-authored Stitch HTML/screenshots whose contents are read/processed by the agent (so any HTML text/strings fetched from those signed URLs can enter the LLM context indirectly via the fetched files and subsequent “Extract tailwind.config” steps).
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.