by openqa-cn
codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
# Add to your Claude Code skills
git clone https://github.com/openqa-cn/codexqaSee how codexqa compares with popular alternatives.
codexqa is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by openqa-cn. codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA. It has 50 GitHub stars.
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Clone the repository with "git clone https://github.com/openqa-cn/codexqa" and add it to your Claude Code skills directory (see the Installation section above).
codexqa is primarily written in Python. It is open-source under openqa-cn on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh codexqa against similar tools.
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The deep catalog scan for this skill is still queued. Run an instant dependency check now instead.
Shipping fast is table stakes. CodexQA runs fully local, installs ready to use, and tells you if the code is good.
CodexQA is an open-source Agent Skills pack for Cursor, Claude Code, Codex, and OpenClaw. It provides 10 local-first verification skills and 1 auto-router to verify code quality, trace change blast radius, detect logic defects, audit PRD requirements, generate manual test cases, construct test data, replay browser UI workflows, and diagnose root causes before merging AI-generated code.
After AI coding, the hard part is verifying quality before you merge: bugs in what just landed, blast radius on old features, complete test cases, the change knowledge graph (which APIs, methods, and call chains moved), whether architecture broke, security risk, requirement fit, test data you can actually run, and whether a browser flow shows the evidence it claims. CodexQA is built for that test-and-verify stage — 10 specialized Agent Skills + 1 router, 360° coverage, so you not only write fast, you see fast whether it is good, and the development loop actually closes.
Cursor · Claude Code · Codex · OpenClaw. Fully local. Install and use — no account, no gateway, no QA-platform move.
Recorded JS blind eval on inventory-service: 7 planted semantic defects, 4 decoys. Recall 7/7, precision 7/7, 0 trap FPs — Composer, 2026-09-08, one run, not a multi-model benchmark. Semgrep seeds: 102 rules / 10 languages.
GitHub is the skill source; product site: openqa.cn.
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