feat(resume): check bullet cadence variety, warn-only

An audit of all 18 packages in output/ (368 bullets) found one rhythm
running through every document: 45% of bullets used the same "X, Y and
Z" triple, and the SBB package reached 85% - 11 of 13 bullets, every
Swisscom and Bosch line - plus two adjacent bullets both opening
"Build and...".

This is a style finding, not a truth finding. Every bullet was accurate.
The corpus is clean on the axes that actually signal generated text: no
AI vocabulary (0 hits for leverage/spearheaded/robust/passionate and 56
others across 35 documents), prose em-dashes at 0.08/bullet, and PDF
metadata carrying nothing but MiKTeX pdfTeX with empty Author/Title
(0 AI tokens and 0 generator-term leaks across 69 PDFs). What is left is
cadence: ten bullets sharing one three-beat rhythm read as machine-made
even when nothing in them is false.

Guarded deliberately so it cannot do harm. cadence_checks() emits WARN
and never ERROR, the critique deduction caps at 1 point, and both the
reference and the docstring state that no claim, scope or hedged verb
may be bent to satisfy rhythm. An anti-monotony rule with teeth would be
worse than the problem - it would pressure a future run into loosening a
scoped claim to vary a sentence.

Thresholds are calibrated on the corpus, not guessed. Position length
spreads are bimodal (1-9 words, then 15-17), so the check flags a spread
of <=4, the tight tail at ~28% of positions; the first draft used <=6
and flagged the median. Also fixed the opening-verb extractor, which
read \textbf{Owned ...} as the word "textbf" and produced six false
positives on one document. Per-package warnings now run 0-3.

Docs: resume_reference.md 7a + verification step, critical_rules.md 7a,
critique_framework.md mechanics row, CLAUDE.md corrections log.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHtzyTKBcg6BWhD5qFegtK

CLAUDE.md

@@ -195,3 +195,4 @@ _See `config.md` for user-specific corrections. Add verified errors here as you
 | 2026-08-02 | **Master's thesis verified against the PDF.** Vibration-based condition monitoring of CNC machine tools; hybrid **rule-based reasoning + 7-10-3 ANN**; throughput/latency evaluation (~500 SPS pipeline vs 72.9 kSPS sensors). **PSO was surveyed but NOT implemented** — an earlier note in this session wrongly listed it as an applied method. No real operational data and no accuracy figures: it is a methods prototype, not a validated system. Also recorded: ECTS relative grade **B (top 35%)**, English-language transcripts exist. | `claims.json` EDU-MENG |
 | 2026-08-02 | **Bosch data types named.** Fab sensor/process data: defect-management records, wafer inspection images, PCM electrical parameters (user-confirmed). Previously the KB named no concrete sensor-data types for Bosch. | `claims.json` BS-2 |
 | 2026-07-27 | **Bullet density.** Fixed 1L/2L/3L and character-band rules made bullets uniform and encouraged page filling. | Replaced globally with natural-length, evidence-led bullets; character counts are diagnostic only. |
+| 2026-08-25 | **Cadence monoculture across every generated package.** Audit of all 18 packages in `output/` (368 bullets) found **45% used the same "X, Y and Z" triple**; the SBB package hit **85% — 11 of 13 bullets, every Swisscom and Bosch line** — plus two adjacent bullets both opening "Build and…". Not a truth defect: every bullet was accurate and the corpus is clean on AI vocabulary (0 cliché hits in 35 documents) and prose em-dashes (0.08/bullet). It is a *rhythm* tell — uniform three-beat cadence reads as machine-written. PDF metadata is clean (MiKTeX pdfTeX, empty Author/Title, no AI tokens in 69 PDFs, no generator-term leakage). | New `resume_reference.md` §7a + verification step 7; `critical_rules.md` rule 7a; `critique_framework.md` mechanics row now scores cadence (max 1 pt, style only) |