AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
A repository with some cool charts that tell us about the history of a git repo.
With charts like this you get an idea of how quickly code is rewritten in a repo. You can explore the GitHub pages link or the marimo notebook to learn more.
You can download git_archaeology.py locally to run it, but you can also run it in molab without downloading anything. The marimo notebook contains all dependencies so can just run marimo edit to edit the notebook locally:
You can also run git_archaeology.py as a command-line script:檢視完整 README ↗A repository with some cool charts that tell us about the history of a git repo.
With charts like this you get an idea of how quickly code is rewritten in a repo. You can explore the GitHub pages link or the marimo notebook to learn more.
You can download git_archaeology.py locally to run it, but you can also run it in molab without downloading anything. The marimo notebook contains all dependencies so can just run marimo edit to edit the notebook locally:
uvx marimo edit git_archaeology.py
You can also run git_archaeology.py as a command-line script:
uv run git_archaeology.py --repo https://github.com/marimo-team/marimo --samples 50
Arguments:
--repo (required) — Repository URL (HTTPS)--samples (optional, default: 100) — Number of commits to sample--file-extensions (optional, default: .py,.js,.ts,.java,.c,.cpp,.h,.go,.rs,.rb,.md) — Comma-separated file extensions to analyze--version-source (optional, default: git tags) — Version source: none, git tags, or pypiAfter generating charts, run make build to update the repository index:
make build
This runs generate_repos_list.py to create charts/repos.json from the available chart files.
Due to browser security restrictions, you cannot open index.html directly from the filesystem. Instead, start a local HTTP server:
uv run python -m http.server
Then open http://localhost:8000 in your browser.
This project was intended for Python projects but the idea is catching on and some folks have started porting this idea to Rust for better performance. If you're keen to explore that, check out https://github.com/czechbol/strata.