arxivkb

This package appears to be what it says — a local arXiv crawler with FAISS search — but it has a few sloppy/inconsistent implementation details and will install persistent background jobs. Before running the installer or giving it shell access: 1) Inspect scripts/install.py and the generated systemd/launchd files (it writes to ~/.config/systemd/user and ~/Library/LaunchAgents) and confirm you want a daily background ingest. 2) Note the data-directory mismatch: SKILL.md/README mention ~/workspace/arxivkb but the scripts use ~/Downloads/ArXivKB; set ARXIVKB_DATA_DIR or edit the defaults to control where PDFs/DB/index are stored. 3) The systemd/launchd service references a --config {config.json} that the installer does not create — background runs may fail unless you create/populate that config or adapt the service. 4) The installer will pip-install packages and run `ollama pull nomic-embed-text` (model download) — expect network activity and non-trivial disk usage. 5) Run the installer inside a virtual environment if you want to avoid global/user pip changes. 6) Ensure Ollama is installed and intentionally run as it will accept local HTTP requests; embedding calls target localhost only. If you want higher assurance, run the tool manually (invoke scripts/cli.py directly) instead of activating the installer’s automatic timer, and verify paths and config behavior first.