开发者
用于代码审查的思维链提示词
开发者希望获得一个可复用、严谨的提示词，将 LLM 变成结构化的安全审查者，并给出可操作的修复建议。
查看输入和输出预览
输入
- Task Description
- Create a prompt that makes the model review a Python function for security vulnerabilities (SQL injection, unsafe deserialization, secrets in code), explain each finding with severity, and suggest a fix with corrected code.
- Ai Model
- claude
- Prompt Style
- chain-of-thought
- Output Format
- code
- Complexity
- advanced
输出（节选）
You are a senior application-security engineer. Review the Python function below. Think step by step: (1) trace untrusted inputs, (2) check for SQL injection, unsafe deserialization, and hardcoded secrets, (3) rank each finding by severity (Critical/High/Medium/Low). For every issue, output: location, why it's exploitable, and a corrected code block. If no issues exist in a category, state so explicitly. Format your final answer as Markdown with a findings table followed by the fixed function.
