| Dimension | Shared | Only in A | Only in B | Overlap |
|---|---|---|---|---|
| Sections | 0 | 1 | 1 | 0% |
| Commands | 0 | 0 | 0 | — |
| Section tags | 0 | 1 | 1 | 0% |
What each file covers
Sections
0 shared · 1 only in A · 1 only in B- − Supabase Rules
- + ML Inference Memory
Commands
neither file has anySection tags
0 shared · 1 only in A · 1 only in B- − do-not
- + performance
Line diff
Aledon8/OpenLeukemia · .cursor/rules/supabase.mdc
@@ −1 @@
1---
2description: Supabase data, storage, and RLS rules
3globs:
4 - "supabase/**/*"
5alwaysApply: false
6---
7
8# Supabase Rules
9
10- Use Supabase for auth, CRUD, storage, consent records, RLS, and lightweight Edge Functions.
11- Keep heavy ML, OCR, extraction, parsing, and model workflows in `ai-service`.
12- Treat RLS as a primary protection layer.
13- Pair sensitive tables with narrow, auditable policies.
14- Plan affected data flows and access paths before schema or policy changes.
15
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−---
2−description: Supabase data, storage, and RLS rules
3−globs:
4− - "supabase/**/*"
5−alwaysApply: false
6−---
1+# ML Inference Memory
72
8−# Supabase Rules
3+Apply this inside `ml/inference/`.
94
10−- Use Supabase for auth, CRUD, storage, consent records, RLS, and lightweight Edge Functions.
11−- Keep heavy ML, OCR, extraction, parsing, and model workflows in `ai-service`.
12−- Treat RLS as a primary protection layer.
13−- Pair sensitive tables with narrow, auditable policies.
14−- Plan affected data flows and access paths before schema or policy changes.
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.
159
