在解析结构化文本时,用于在正则表达式(Regex)和大型语言模型(LLM)之间进行选择的决策框架——优先使用正则表达式,仅针对低置信度的边界情况引入 LLM。
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tessl review fix ./skills/regex-vs-llm-structured-text/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.
[SKILL.md规定的运行时流程只对传入的“content/原始文本”做正则解析与置信度评分,并仅在低置信度项目上把该原始文本片段发送给LLM校验;该“源文本”属于调用方提供的输入文本,其可由外部作者自由文本投递,因此存在间接提示注入暴露风险。]
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