Summary
This automates code review using OpenAI's Codex CLI with an iterative fix-and-review loop. You write code, it runs a Codex review via `codex exec`, parses the output for bugs and security issues, applies fixes, then re-reviews until everything passes or you hit the two-iteration limit. The workflow is explicit about what counts as "done" (no Bug/Security sections, or "All issues resolved" confirmations) versus what needs another pass. It's opinionated about git requirements and command structure, which is helpful if you're already set up with Codex CLI but means this won't work out of the box for most people. Best for teams with Codex integrated into their toolchain who want automated validation cycles before human review.
Install to Claude Code
npx -y skills add daffy0208/ai-dev-standards --skill codex-review-workflow --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
