Codex Skill
Priorities
Correctness > Security > Efficiency
Model Registry
Load current models before executing — this overrides any model names in the tables below:
Glob(pattern: "**/sdlc/**/config/model-registry.md", path: "~/.claude/plugins")→ Read result- Use
codex-flagshipas the default model. Offer usercodex-fastfor cost-sensitive tasks. - If registry load fails, fall back to the tables below.
Goal
Execute OpenAI Codex CLI for automated code analysis, refactoring, and editing tasks. Default to the flagship model from the registry with user-specified reasoning effort. Suppress stderr thinking tokens by default unless debugging is needed.
Constraints
- Default model: flagship from model registry (ask user for reasoning effort: high, medium, or low)
- Sandbox mode:
--sandbox read-only(default),workspace-write(for edits),danger-full-access(network/broad access) - Always use
--skip-git-repo-checkflag - Suppress stderr by default: append
2>/dev/nullto allcodex execcommands - Resume sessions:
echo "prompt" | codex exec --skip-git-repo-check resume --last 2>/dev/null(no config flags between exec and resume unless user specifies) - Ask permission before using high-impact flags (
--full-auto,--sandbox danger-full-access) - Stop and report on non-zero exit codes
- Inform user after completion: "You can resume this Codex session at any time by saying 'codex resume'"
Model Options (fallback — prefer registry)
These model names may be outdated. Always prefer model-registry.md values when available.
| Model | Best for | Context window | Key features |
|---|---|---|---|
gpt-5.3-codex | Software engineering, code review, agentic coding | 400K input / 128K output | 25% faster, best agentic coding, $1.75/$14.00 |
gpt-5.3-codex-spark | Research preview: ultra-fast inference via Cerebras | 400K input / 128K output | 1000+ tokens/s, experimental |
gpt-5.2-codex | Code review, security analysis | 400K input / 128K output | 79% SWE-bench Pro |
gpt-5.1-codex | Software engineering, agentic coding workflows | 400K input / 128K output | 76.3% SWE-bench, $1.25/$10.00 |
gpt-5.1-codex-mini | Cost-efficient coding (4x more usage allowance) | 400K input / 128K output | Near SOTA performance, $0.25/$2.00 |
References
Load CLI reference and code review patterns:
Glob(pattern: "**/sdlc/**/skills/codex/references/codex-cli-reference.md", path: "~/.claude/plugins")→ Read result
Arguments
$ARGUMENTS