Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow SDK, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill injection for complex, multi-system builds.
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Low
Low-risk findings worth noting
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tessl review fix ./.claude/skills/benchmark-agents/SKILL.mdLow
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.
The required runtime workflow launches an interactive Claude Code session via WezTerm using a user-supplied prompt string (`x '<PROMPT>'`), which is then ingested by the agent; however, SKILL.md does not describe reading any outsider-authored external sources (e.g., emails/queues/issue text) itself.
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 skill explicitly runs "npx add-plugin https://github.com/vercel/vercel-plugin -s project -y" during setup, which fetches and executes remote plugin code that wires hook-based injections (i.e., directly affects agent prompts), making that GitHub URL a required runtime dependency.
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