Tankekedjeprompt för kodgranskning
Utvecklare som vill ha en återanvändbar, rigorös prompt som förvandlar en LLM till en strukturerad säkerhetsgranskare med åtgärdbara fixar.
Visa förhandsvisning av in- och utdata
Indata
- Uppgiftsbeskrivning
- 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.
- Mål-AI-modell
- Claude (Anthropic)
- Promptstil
- Tankekedja (Steg-för-Steg Resonemang)
- Önskat utdataformat
- Kod / Teknisk
- Komplexitetsnivå
- Avancerad (Detaljerad, nyanserad)
Utdata (utdrag)
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.