skills/sebas-aikon-intelligence/antigravity-awesome-skills/vercel-react-best-practices/Gen Agent Trust Hub
vercel-react-best-practices
Pass
Audited by Gen Agent Trust Hub on Sep 29, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to analyze and refactor React and Next.js source code provided by a user in the agent's context, creating an ingestion point for potentially malicious instructions embedded in user data.
- Ingestion points: User-provided source code files (React components, Next.js pages) processed by the agent.
- Boundary markers: None identified in the provided instructions to delimit user code from agent instructions.
- Capability inventory: The agent is instructed to perform code generation, refactoring, and performance improvements based on the guide.
- Sanitization: No specific sanitization or validation mechanisms are described for the input code.
- [DYNAMIC_EXECUTION]: The skill documentation (specifically in
rules/rendering-hydration-no-flicker.md) recommends the use ofdangerouslySetInnerHTMLto inject synchronous inline scripts for theme initialization and preference loading. While this is a common React pattern for performance, it represents a dynamic script execution vector. - [EXTERNAL_DOWNLOADS]: The skill references several external dependencies and resources in its guidelines and README, including:
better-all(Vercel Engineering public repository)lru-cache(Well-known utility by Isaacs)- Various React ecosystem packages such as
lucide-react,@mui/material, andswr. - These downloads are from trusted organizations or well-known services and do not escalate the verdict.
- [COMMAND_EXECUTION]: The
README.mdfile contains instructions for developers to execute shell commands such aspnpm install,pnpm build, andpnpm validateto manage the skill's build artifacts. These are standard development operations.
Audit Metadata