Tokens
Track, visualize, and compete on AI coding assistant token usage across Claude Code, Cursor, OpenCode, Codex, Gemini, Kimi, and Qwen. The Kardashev Scale for AI Devs.
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尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证QALITA Public Pack
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取自仓库 README
正在加载完整 README。
查看完整 README ↗Welcome to QALITA's public packs repository. All packs in this repository are open source and free to use. You can use these packs to create your own QALITA projects or to contribute to the QALITA community.
A pack is a collection of assets that can be used to perform a specific type of analysis.
Checkout Documentation if you want to know more about packs.
You can use a pack by importing it into your QALITA project. Once imported, you can use the assets in the pack to perform analysis on your dataset.
You can contribute to this repository by forking it and submitting a pull request. You can also create an issue to report a bug or to request a new feature.
qalita-core firstEvery pack declares a qalita-core floor in its pyproject.toml, and
scripts/run.sh runs uv lock on the worker for every job. When a change here
needs a new core API, the matching qalita-core version must be tagged on
qalita/core's main and published to PyPI before this repository's main
receives the work — merging to main publishes every pack immediately, and a
pack pinning an unpublished core fails to resolve on every worker.
The resolve job in .github/workflows/publish.yml checks this on each pull
request and blocks publishing if any pack cannot be resolved.
All packs in this repository are licensed under the Apache License, Version 2.0. You can use these packs for free, but you must include the original copyright notice.