adk-verify-snippets

Pass

Audited by Gen Agent Trust Hub on Jul 14, 2026

Risk Level: SAFEREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONCREDENTIALS_UNSAFE
Full Analysis
  • Dynamic Code Execution from Data: The skill identifies, extracts, and executes Python code blocks from Markdown files. While this is the primary feature of the verifier, it involves the execution of code derived from external data sources using importlib.util and exec_module.
  • Sensitive Credential Management: The execution harness is designed to ingest and utilize GEMINI_API_KEY or GOOGLE_API_KEY from the environment. This allows testing of snippets that interact with AI services but requires ensuring the code being tested does not mishandle these credentials.
  • Subprocess Execution: The main script, verify_md.py, utilizes subprocess.run to invoke the isolated execution harness for each snippet. This ensures snippets are run in separate processes but involves standard system-level command execution.
  • Dynamic Module Loading: The run.py harness programmatically loads and runs snippets as modules to capture errors and coverage. This dynamic loading pattern is a standard testing technique but is inherently associated with code execution risks if the input Markdown is untrusted.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 14, 2026, 02:06 AM
Security Audit — agent-trust-hub — adk-verify-snippets