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-flagship as the default model. Offer user codex-fast for 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-check flag
• Suppress stderr by default: append 2>/dev/null to all codex exec commands
• 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These model names may be outdated.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.

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