fix(docs): fix formatting issues in README.md

- adapt meta-/code-/obs- rules to the local Python benchmark pipeline
- replace db-sql-ddl, code-config-env-scope, test-e2e-pytest with pipeline equivalents
- add code-python-style, data-determinism, data-naming-units, bench-methodology, build-pipeline-tasks
- normalize specs and README typography to ASCII per code-data-formatting
- rewrite root CLAUDE.md trigger table; add .cursorrules and .gitignore
- specs: pipeline plan and task specs 00-11
- rules: 19 binding rule files adapted for this project
- docs: CLAUDE.md rule-trigger table
- config: .cursorrules commit convention, .gitignore excluding out/ and .venv/
- docs: rewrite README.md with pipeline diagrams, setup guide, result placeholders
- config: requirements.txt for the closed dependency list
- datagen: make_lab_config.py writes out/config/lab_config.yaml and .done marker

docs/specs_old/10_anomaly_report.md

@@ -0,0 +1,17 @@
+# Task 10 — Anomaly Report & Iteration Gate
+
+## Goal
+Consolidate anomalies, refine rules/mappings/ontology, and gate the Phase 2↔3 loop.
+
+## Input
+- `rejects/*.jsonl`, `manifest/unmatched.csv`, current rule/mapping/schema versions.
+
+## Actions
+1. Write `scripts/anomaly_report.py` → `manifest/anomaly_report.md`: counts by reason code × measurement type, top offending files, examples per class, reject-rate per fingerprint.
+2. Triage each anomaly class: (a) true data anomaly — keep quarantined, document; (b) rule defect — fix `anomaly_rules.json` / mapping / token pattern; (c) ontology gap — escalate to Task 08.
+3. If (b) or (c) occurred: bump versions and re-run Tasks 07→09 for affected types.
+4. Repeat until: fingerprint mapping coverage 100%, reject classes are all category (a), reject rate stable between runs.
+
+## Intermediate Result (done when)
+- `anomaly_report.md` final; every reject class documented as a true anomaly.
+- Canonical dataset frozen: `canonical/SNAPSHOT.md` written with versions + row counts. Phases 2↔3 complete.