audit-ml-pipeline
Audit ML Pipeline
Per-experiment, human-readable narrative of a skore report. The
# %% file is the human notebook and is not executed. materialize.py
writes the digest and the HTML viewers in one run. Read-only against
the skore Project.
Human-facing prose
Details: setup-workspace references/human_facing_prose.md.
Audit markdown and # comments describe this report's findings
— not the skills framework, the CLI, or the command that produced
an output. Questions, replies, and the close narrative use the
same data-science language — not skill ids, G-* names, or the
wrapper CLI. Trailing locator tokens stay index strings. Do not
put API tutorials, version floors, or locator recipes in
audit/<stem>.py. <!-- results-embed: … --> is a site marker.
Authoring hints stay in this skill. style is ruff only.