codex-review
Fail
Audited by Gen Agent Trust Hub on May 19, 2026
Risk Level: HIGHCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The skill exhibits several command injection vulnerabilities where variables are interpolated into shell strings without sanitization. In Step 1, user-provided model arguments (e.g., from
/codex-review gpt-5.4) are used directly in thecodex exec -mcommand. In Step 4 and 6, theCODEX_SESSION_IDis extracted from the stdout of thecodextool (which processes untrusted git diffs or plans) and then passed tocodex exec resume ${CODEX_SESSION_ID}. An attacker could embed malicious strings in a code diff that trick the tool into outputting a payload which then executes on the host system during the resume step. - [EXTERNAL_DOWNLOADS]: The skill requires the global installation of a non-standard NPM package
@openai/codex(npm install -g @openai/codex). Users should verify the supply chain security of this package before installation as official OpenAI CLI tools are typically distributed through different naming conventions. - [COMMAND_EXECUTION]: The skill hardcodes local proxy environment variables (
https_proxy=http://127.0.0.1:7890) for its network operations. This forces the agent to route all external review data through a specific local port, which may be inappropriate for the user's environment or could be used to intercept sensitive code data if a malicious proxy is active on that port.
Recommendations
- AI detected serious security threats
Audit Metadata