filter-tellslisted

# filter-tells: AI Writing Detection and Correction Detects mechanically, removes editorially, and hands voice restoration to `match-voice`. Three detection layers — lexical, structural, semantic — flag passages; Claude then rewrites them under the convergence rules below, and re-scans. There is no deterministic strip: a banned word is a one-word swap, but a cadence tell needs the sentence rewritten, and that is judgment. Filtering leaves prose that is *neutral* — no tells, but no voice either. When the passage has to sound like the author, that is `match-voice`'s job. *Renamed from `de-ai` (2026-07). The old name implied the skill only removed; it detects, and the removal is editorial.* ## Standing Warning: Scripts Are Blind to Rhetorical Patterns The two scripts (`detect-lexical.sh`, `detect-structural.py`) measure surface metrics only — banned words, opening diversity, sentence length variance, dash density. They **cannot** detect the rhetorical patterns that constitute most of the AI signal in real prose: - Declarative pairs ("X is Y. Z is W.") - Definition-by-enumeration ("X extends in two ways") - Meta-narrative bridges ("The analogy breaks in one place") - Triple parallels ("clearer instructions, tighter constraints, fewer ambiguous cases") - Comprehensive enumerated sweeps in parentheses Partial exception: `detect-structural.py` now has a `detect_antithesis` check that catches the lexically-marked subset of negation-then-affirmation ("X is not Y. It is Z.", "Th