AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation
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Low
Low-risk findings worth noting
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tessl review fix ./plugins/vercel/skills/ai-generation-persistence/SKILL.mdLow
Low-risk findings.
1 low severity finding. 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 workflow reads `prompt` from the runtime HTTP request body (`POST(req)` → `const { prompt, model } = await req.json();`) and then persists/uses it for LLM generation, so any outsider-supplied free text entering that request (e.g., another user’s chat message) is fed into the LLM context.
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