Autonomously improve a generated paper via Gemini review through gemini-review MCP → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
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Low
Low-risk findings worth noting
Low
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.
Outsider-authored free text is ingested into the agent’s LLM context via the runtime MCP bridge calls `mcp__gemini-review__review_start` / `mcp__gemini-review__review_status`, where the completed reviewer `response` (Gemini output) is treated as reviewer output and then used for subsequent prompting/logging.
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