gpt-engineer
Pass
Audited by Gen Agent Trust Hub on Aug 16, 2026
Risk Level: SAFECOMMAND_EXECUTIONREMOTE_CODE_EXECUTION
Full Analysis
- [COMMAND_EXECUTION]: The skill uses a suite of local Python scripts to orchestrate tasks.
bootstrap.pymanages agent profiles,audit_routing.pyverifies model configurations, andrun_codex_agent.pyexecutes subtasks. These tools use the Pythonsubprocessmodule to interact with the localgitandcodexbinaries using secure argument passing to prevent shell injection. - [REMOTE_CODE_EXECUTION]: Subagents are executed using the
codexCLI with restricted sandboxes. The implementation inrun_codex_agent.pyenforces aread-onlyorworkspace-writesandbox, disables network access for writers, and performs all modifications in an isolated candidate worktree, ensuring changes are reviewed before being integrated into the main repository. - [SAFE]: A specialized safety hook (
gpt_engineer_guard.py) is included to intercept and block destructive commands such asgit reset --hardor forced pushes. The skill also incorporates strict routing checks to ensure that tasks are only performed by specific authorized model profiles, preventing accidental or malicious model substitution. - [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted repository data but mitigates risk by wrapping subagent execution with explicit instructions and boundary markers. All delegated results are validated against a strict JSON schema (
handoff.schema.json) before being processed by the lead agent.
Audit Metadata