EXTENSIONS

Agent + human guidance for the swamp session-* suite: how to record a live session, author a governed analysis (fill a frozen template's typed slots, validated), run it headless, and seal it — and where the R env flake, templates, and recorder clients live. Wire an R project to record its work with the writer init on-ramp.

Never lose how a result was computed. A language-agnostic provenance ledger for interactive data-science sessions: append one immutable, content-checksummed record per executed cell/chunk — its code, value, figures, console output, warnings, packages, and even runtime-declared functions with their internal dependencies — from any client (R/RStudio, Python/Jupyter, targets, …). One append-only ledger, one record per cell, identical shape across languages: the foundation the rest of the session-* suite fills, seals, and replays. Capture the real computation as it happens, so a session can be audited, sealed (session-witness), or re-run later — not reconstructed from memory.

The headless runtime of the session-* suite. Runs a filled analysis template — R/qmd in a pinned nix R env (`run`), a targets pipeline via a harvester (`run-targets`), or Python/ipynb via papermill in the locked conda/Docker env (`run-notebook`) — with the recorder armed or a swamp.returns contract verified. Also faithfully REPLAYS a captured session: `replay` re-runs recorded R against frozen tolerance rules (nix preferred, docker fallback), and the Python host-replay shim serves a captured session's host.* calls offline (or falls through to the live API in hybrid mode). Reproduce a governed run — or a foreign Claude Science session — deterministically.