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Diff/aledon8-openleukemia-supabase-policies-claude ↔ aledon8-openleukemia-ml-inference-claude

Comparison

A · CLAUDE.md · Aledon8/OpenLeukemiaB · CLAUDE.md · Aledon8/OpenLeukemia
What each file covers, counted
DimensionSharedOnly in AOnly in BOverlap
Sections0110%
Commands000—
Section tags100100%

What each file covers

Sections

0 shared · 1 only in A · 1 only in B
  • − Supabase Policies Memory
  • + ML Inference Memory

Commands

neither file has any

Section tags

1 shared · 0 only in A · 0 only in B
  •   performance

Line diff

+6 added−7 removed3 unchanged30.0% identical
Aledon8/OpenLeukemia · supabase/policies/CLAUDE.md
@@ −1 @@
1# Supabase Policies Memory
2 
3Apply this inside `supabase/policies/`.
4 
5- RLS is a primary protection layer, not a later add-on.
6- Policies should make patient ownership and explicit consent enforceable.
7- Keep access paths narrow and auditable.
8- Treat document storage and normalized clinical data as separate access concerns.
9- Review policy changes as security-sensitive even when the SQL diff is small.
10 
Aledon8/OpenLeukemia · ml/inference/CLAUDE.md
@@ +1 @@
1# ML Inference Memory
2 
3Apply this inside `ml/inference/`.
4 
5- Keep inference interfaces typed, deterministic, and easy to validate.
6- Return explainable scores or signals with limitations, not clinical conclusions.
7- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8- Validate feature order, units, and missing-value behavior explicitly.
 
9 
@@ −1 +1 @@
1−# Supabase Policies Memory
1+# ML Inference Memory
22  
3−Apply this inside `supabase/policies/`.
3+Apply this inside `ml/inference/`.
44  
5−- RLS is a primary protection layer, not a later add-on.
6−- Policies should make patient ownership and explicit consent enforceable.
7−- Keep access paths narrow and auditable.
8−- Treat document storage and normalized clinical data as separate access concerns.
9−- Review policy changes as security-sensitive even when the SQL diff is small.
5+- Keep inference interfaces typed, deterministic, and easy to validate.
6+- Return explainable scores or signals with limitations, not clinical conclusions.
7+- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8+- Validate feature order, units, and missing-value behavior explicitly.
109  
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