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.
This rank signal uses GitHub stars, measured star growth, and recent maintenance. It is not a safety score or install approval.
Worth reviewing before you install
Worth a closer look if the use case fits. It has adoption, measured growth, and recent maintenance. Install notes are available, but you should still inspect the source.
Coding teams. Channel tag: Claude Code, Codex. Treat this as a search fit signal, not compatibility proof. Best when you want a concrete install path. Start with plugins/skill-codex/skills/codex/SKILL.md.
Inspect plugins/skill-codex/skills/codex/SKILL.md and the install command before adding it to a shared agent workflow. No actionable warning was returned for this snapshot.
Compare nearby coding skills in the Claude Code, Codex channel when 1,305 GitHub stars, source freshness, or install notes are close. This one has a clearer install path, but a nearby skill may still fit your agent setup better.
How to install codex
/plugin marketplace add skills-directory/skill-codexSKILL.md and source review
Primary path: plugins/skill-codex/skills/codex/SKILL.md
57/100 from GitHub star count, star growth rate, and recent update.
57/100 from GitHub star count, star growth rate, and recent update.
28/45 points. Star count is log-scaled so large repos lead without completely hiding newer projects.
12.7/35 points from 131 net stars over 53.3 observed day(s).
16/20 points. Most recent GitHub activity: 2026-06-03T13:22:20Z.
- GitHub ranking score uses star count, measured star growth rate, and recent repository update only.
- 1,206 stars at last scan.
- 30 stars/week measured from 2026-04-22 to 2026-04-29T10:47:08.532Z.
- Most recent GitHub activity was 2026-04-27T14:21:43Z.
Source evidence preview
We show selected README/SKILL.md excerpts, not a full mirror of the repo. Use the focus cards for install notes, usage, and skill rules, then open GitHub before installing.
Command extracted from README.md.
/plugin marketplace add skills-directory/skill-codexSections found: Usage.
Review plugins/skill-codex/skills/codex/SKILL.md for trigger rules and constraints.
Note: If you want a more autonomous setup for agentic workflows, check out klaudworks/ralph-meets-rex.
Installation
This repository is structured as a Claude Code Plugin with a marketplace. You can install it as a plugin (recommended) or extract it as a standalone skill.
Option 1: Plugin Installation (Recommended)
Install via Claude Code's plugin system for automatic updates:
/plugin marketplace add skills-directory/skill-codex
/plugin install skill-codex@skill-codexOption 2: Standalone Skill Installation
Extract the skill folder manually:
git clone --depth 1 git@github.com:skills-directory/skill-codex.git /tmp/skills-temp && \
mkdir -p ~/.claude/skills && \
cp -r /tmp/skills-temp/plugins/skill-codex/skills/codex ~/.claude/skills/codex && \
rm -rf /tmp/skills-tempUsage
Need the full source? Read full README on GitHub
Running a Task
- Ask the user (via
AskUserQuestion) which model to run (gpt-5.5,gpt-5.4,gpt-5.4-mini,gpt-5.3-codex-spark, orgpt-5.3-codex) AND which reasoning effort to use (xhigh,high,medium, orlow) in a single prompt with two questions. - Select the sandbox mode required for the task; default to
--sandbox read-onlyunless edits or network access are necessary. - Assemble the command with the appropriate options:
-m, --model--config model_reasoning_effort=" "--sandbox--full-auto-C, --cd--skip-git-repo-check"your prompt here"(as final positional argument)- Always use --skip-git-repo-check.
- When continuing a previous session, use
codex exec --skip-git-repo-check resume --lastvia stdin. When resuming don't use any configuration flags unless explicitly requested by the user e.g. if he species the model or the reasoning effort when requesting to resume a session. Resume syntax:echo "your prompt here" | codex exec --skip-git-repo-check resume --last 2>/dev/null. All flags have to be inserted between exec and resume. - IMPORTANT: By default, append
2>/dev/nullto allcodex execcommands to suppress thinking tokens (stderr). Only show stderr if the user explicitly requests to see thinking tokens or if debugging is needed. - Run the command, capture stdout/stderr (filtered as appropriate), and summarize the outcome for the user.
- After Codex completes, inform the user: "You can resume this Codex session at any time by saying 'codex resume' or asking me to continue with additional analysis or changes."
Following Up
- After every
codexcommand, immediately useAskUserQuestionto confirm next steps, collect clarifications, or decide whether to resume withcodex exec resume --last. - When resuming, pipe the new prompt via stdin:
echo "new prompt" | codex exec resume --last 2>/dev/null. The resumed session automatically uses the same model, reasoning effort, and sandbox mode from the original session. - Restate the chosen model, reasoning effort, and sandbox mode when proposing follow-up actions.
Critical Evaluation of Codex Output
Codex is powered by OpenAI models with their own knowledge cutoffs and limitations. Treat Codex as a colleague, not an authority.
Guidelines
- Trust your own knowledge when confident. If Codex claims something you know is incorrect, push back directly.
- Research disagreements using WebSearch or documentation before accepting Codex's claims. Share findings with Codex via resume if needed.
- Remember knowledge cutoffs - Codex may not know about recent releases, APIs, or changes that occurred after its training data.
- Don't defer blindly - Codex can be wrong. Evaluate its suggestions critically, especially regarding:
- Model names and capabilities
- Recent library versions or API changes
- Best practices that may have evolved
When Codex is Wrong
- State your disagreement clearly to the user
- Provide evidence (your own knowledge, web search, docs)
- Optionally resume the Codex session to discuss the disagreement. Identify yourself as Claude so Codex knows it's a peer AI discussion. Use your actual model name (e.g., the model you are currently running as) instead of a hardcoded name:
echo "This is Claude (<your current model name>) following up. I disagree with [X] because [evidence]. What's your take on this?" | codex exec --skip-git-repo-check resume --last 2>/dev/null- Frame disagreements as discussions, not corrections - either AI could be wrong
- Let the user decide how to proceed if there's genuine ambiguity
Need the full source? Read full SKILL.md on GitHub
