codex
SolidUse when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- softaworks
- Repository
- softaworks/agent-toolkit
- Created
- 4 months ago
- Last Updated
- 2 months ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
codex-skill
Leverage OpenAI Codex/GPT models for autonomous code implementation. Triggers: "codex", "use gpt", "gpt-5", "let openai", "full-auto", "用codex", "让gpt实现". Use this skill whenever the user wants to delegate coding tasks to OpenAI models, run code reviews via codex, or execute tasks in a sandboxed environment.
codex-cli
Run OpenAI Codex CLI for coding tasks and second-opinion audits. Use when a user asks to run/ask/use Codex, says "codex prompt", or wants Claude to delegate a logic/code review to OpenAI models. Covers direct `codex` CLI invocation (exec, review, resume, apply, doctor, mcp), the six reasoning-effort levels (none/minimal/low/medium/high/xhigh), sandbox + dangerous flags, background execution, rate-limit safety, and when to defer to the official OpenAI Codex Claude Code plugin (`codex:rescue`) instead. Preflights with `codex doctor` to read the current default model + surface available updates; never hardcodes model/effort, letting Codex pick its own current best default unless the user explicitly names one.