OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The "200 IQ autistic developer" second opinion. Use when asked to "codex review", "codex challenge", "ask codex", "second opinion", or "consult codex". (gstack) Voice triggers (speech-to-text aliases): "code x", "code ex", "get another opinion".
Security
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Insecure credential handling detected (high risk: 0.90). The skill explicitly instructs the agent to read and embed entire plan files (and referenced source content) verbatim into prompts sent to Codex (an external model/CLI) and to present Codex's verbatim output, which forces the LLM to handle and forward any secrets contained in those files — a direct exfiltration risk.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.90). The skill explicitly enables Codex's web lookup ("--enable web_search_cached" in Step 2A/2B/2C and the "Web search" note), so the agent consumes external web search results (untrusted third‑party content) as part of its review/challenge/consult workflow and uses those outputs to generate findings and gate/recommendation decisions.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.