learning_ai_common_plat/reports
saravanakumardb1 f7a70f16ed feat(scripts): scanner refinements drop Tier 4 noise (276 \u2192 223 hex)
Additional scanner exclusions for legitimate non-styling hex usages:
- /theme/*.{ts,tsx,js}    \u2014 entire theme dir (was: only colors|tokens|palette|theme)
- /app/api/*.{ts,tsx}     \u2014 Next.js API routes (server-side, not UI)
- /src/lib/*-(data|flows|palette).{ts,tsx} \u2014 domain visualization data files

Updated roadmap to reflect:
- Tier 1 critical:       13 \u2192 0 \u2713 COMPLETE
- Tier 2 common_plat hex: 59 \u2192 0 \u2713 COMPLETE
- Tier 3 medium repos:    57 \u2192 0 \u2713 COMPLETE (efforise fixed, mac_tooling exempt)
- Tier 4 remaining:     223 hex across 3 large repos (deferred to dedicated
                        sessions \u2014 each needs careful component-by-component
                        refactor; not safe to batch-mechanize)

Tier 4 distribution:
  learning_ai_flowmonk           107  (mobile/ RN StyleSheet)
  learning_multimodal_memory_agents 70  (Next.js page components)
  learning_ai_fastgap             46  (BodyCanvas + ShareCard visualizations)

Ecosystem total: 2548 \u2192 1388 (-46%). 13 of 19 repos hex-clean.
All critical findings cleared. No outstanding security or data risks.
2026-05-23 14:49:03 -07:00
..
rule-violations-baseline.md feat(scripts): scanner refinements drop Tier 4 noise (276 \u2192 223 hex) 2026-05-23 14:49:03 -07:00