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I researched spaced-repetition best practices (Wozniak's twenty rules, Matuschak's prompt-writing guide, Nielsen, the Anki and FSRS docs) and folded the findings into the drill-deck pipeline.
drill-deck-stats.py now checks authoring quality on top of structure. Two checks block: answer leakage (a question that echoes >= 80% of its own answer's content words tests recognition, not recall) and duplicate / near-duplicate fronts (confusable cards interfere). Three checks warn without blocking, surfacing rewrite candidates without failing the gate: overloaded backs, list-shaped backs, and binary yes/no prompts. The fuzzy thresholds live in constants at the top of the script, so a real deck that trips false positives can be tuned. I pulled the card-parsing into a parse_cards helper that captures each card's body, and added focused tests for every new helper plus CLI coverage of the leaky, duplicate, and notes-only cases.
drill-deck-review.org gains a Card Authoring Principles section (the why behind the canonical shapes, with sources), a person-card splitting path bounded by the :ID:-preservation rule, a Phase B cost-benefit-removal and leech-reformulation disposition, and a scheduling-is-Anki-side note so a future editor doesn't try to encode FSRS retention in the org source. I left out cloze cards (would need a second note type), per-card tractability targeting and retention encoding (Anki-side telemetry that never reaches the source), and on-face source-stamping (the converter strips those drawers by design). Each is noted with its reason.
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I backfilled the gaps left after the flashcard work landed. drill-to-anki.py had tests only for its two default helpers. I added coverage for the core parser and its pieces: parse (section-to-tag mapping, drawer-only body, blank trimming, multiline join, no-card input), strip_org_metadata (drawer and planning-line stripping, unclosed drawer), section_to_tag, escape_html, and the deterministic stable_id. I also filled the remaining drill-deck-stats / drill-deck-diff-ids branches (missing-title and PROPERTIES-mismatch warnings, the appeared-IDs note path).
I added test_cross_project_broadcast.py for the two scripts that had none here: is_broadcastable / discover (SEARCH_ROOTS pointed at a tmp tree) / sender_project / inbox_send_path, plus an ERT suite for daily-prep-agenda.el (dp-iso-date, dp-bucket with the clock pinned, dp-format-entry, and dp-collect end to end on a temp org file).
daily-prep-agenda.el needed one change to be loadable under ERT: its batch entrypoint fired on any load. I gated it behind dp--cli-invocation-p, the same readable-files check lint-org.el already uses, so requiring the file for tests no longer runs the extractor. A real invocation with a file argument still fires. A no-argument run now no-ops instead of printing an empty header.
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I incorporated the flashcard-tooling bundle from the work project's deck-review workflow, validated there against a 93-card deck. Three scripts now live under .ai/scripts/: drill-deck-stats.py (pre-rewrite inventory plus a gate that warns on stray *** Answer headers, missing :ID:, non-prompt headings, and #+TITLE jargon like "org-drill"), drill-deck-diff-ids.py (SRS-state preservation check that flags any :ID: lost across a rewrite), and drill-deck-sync (bash wrapper chaining stats, optional diff-ids, then drill-to-anki, writing to ~/sync/phone/anki/ only when the gates pass).
The drill-deck-review.org workflow gains a Helper Scripts section and references the scripts from its phases. I reconciled its output-path prose with the drill-to-anki default that just moved to ~/sync/phone/anki/, so it no longer claims the script still defaults to ~/sync/org/drill/. I added tests for both Python scripts (pure logic plus CLI gate behavior) and a bats suite for the wrapper's guard paths. The clean end-to-end sync path stays uncovered since it needs uv-resolved genanki.
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