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How to have an AI agent verify changes to Alpha Research OS with Alpha Research OS

Run the project's test, lint, script, and build checks before accepting a code change.

Who it is forA developer contributing to Alpha Research OS who wants an AI coding agent to check a change before it is reviewed.

The problemChanges to the research engine or the workbench can break tests, lint rules, or the packaged build if they are not checked.

The outcomeA change where the test suite, lint check, static script check, and package build have all been run and their results recorded.

What you need first

  • Python 3.11 to 3.13 on macOS, Linux, or Windows through WSL2
  • The uv package manager
  • A daily OHLCV CSV with columns date, symbol, open, high, low, close, volume, covering 3 to 100 assets and at least 468 common trading days for default research settings
  • An authenticated Codex CLI, or an API key and model ID for a DeepSeek, Gemini, Ollama, or custom compatible endpoint

Steps

  1. Run uv sync --locked --extra dev in the repository folder.
  2. Run uv run pytest -q to run the test suite.
  3. Run uv run ruff check src/alpharesearchos scripts to lint the code.
  4. Run node --check src/alpharesearchos/static/app.js to check the workbench script.
  5. Run uv build to confirm the package builds.

Prompt for your agent

In the AlphaResearchOS repo, make the change described in <change-description>, then run the five development checks listed in the README and report each result. Verify that every check passes before you say the change is ready, and list any failure with its output.

Caveat. These checks confirm the code runs and passes the listed tools, but the README does not say they verify the quality of the research results.

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