python-debugging-expert

Pass

Audited by Gen Agent Trust Hub on Jun 13, 2026

Risk Level: SAFE
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill exhibits an attack surface for indirect prompt injection as it is designed to process untrusted user data such as code snippets and error logs.
  • Ingestion points: Processes user-provided symptoms, stack traces, and minimal reproduction examples (modules/core-guidance.md).
  • Boundary markers: No explicit delimiters or instructions are provided to the agent to ignore potentially malicious embedded instructions in the user's code.
  • Capability inventory: Recommends the use of debugging tools (pdb, debugpy), profilers (scalene, py-spy), and logging frameworks (modules/diagnostics-and-tooling.md, modules/performance-and-memory.md).
  • Sanitization: No input sanitization or validation of the provided code or logs is specified.
  • [EXTERNAL_DOWNLOADS]: The skill references automated ways to fetch information from reputable sources.
  • Evidence: The research checklist includes guidance for fetching debugging information from Wikipedia and the official CPython GitHub repository (modules/research-checklist.md).
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 13, 2026, 05:38 PM
Security Audit — agent-trust-hub — python-debugging-expert