systematic-debugging

Pass

Audited by Gen Agent Trust Hub on Sep 18, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTIONCOMMAND_EXECUTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill instructs the agent to ingest and act upon untrusted data from error messages, stack traces, and build failures. \n
  • Ingestion points: Error logs and stack traces are read in SKILL.md (Phase 1). \n
  • Boundary markers: No explicit delimiters or instructions to ignore embedded commands in the processed data are provided. \n
  • Capability inventory: The skill utilizes write_to_file, run_command, and replace_file_content in SKILL.md (Phases 1 and 3) to act on findings. \n
  • Sanitization: No sanitization of the input error data is performed before processing. \n- [DYNAMIC_EXECUTION]: The skill workflow involves generating and executing new code at runtime for debugging purposes. \n
  • Evidence: Phase 1 of SKILL.md instructs the agent to write reproduction scripts (e.g., repro.py or .js in /tmp/) and execute them via run_command. \n- [COMMAND_EXECUTION]: The skill utilizes shell commands to gather environment data and execute reproduction tests. \n
  • Evidence: Instructions in SKILL.md (Phase 1) and references/tracing.md (Environment Boundary) describe using run_command and shell scripts to inspect environment variables and process state.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 18, 2026, 10:21 PM
Security Audit — agent-trust-hub — systematic-debugging