codex

Original：🇺🇸 English

Not Translated

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-5.3-Codex by default for state-of-the-art software engineering.

1installs

Sourceiamladi/cautious-computing-machine--sdlc-plugin

Added on2026-02-28

NPX Install

npx skill4agent add iamladi/cautious-computing-machine--sdlc-plugin codex

SKILL.md Content

Codex Skill

Priorities

Correctness > Security > Efficiency

Goal

Execute OpenAI Codex CLI for automated code analysis, refactoring, and editing tasks. Default to

gpt-5.3-codex

model with user-specified reasoning effort. Suppress stderr thinking tokens by default unless debugging is needed.

Constraints

Default model:
```
gpt-5.3-codex
```
(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

Model	Best for	Context window	Key features
`gpt-5.3-codex` ⭐⭐	Flagship model: 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
`gpt-5.1-thinking`	Ultra-complex reasoning, deep problem analysis	400K input / 128K output	Adaptive thinking depth, runs 2x slower on hardest tasks

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