| 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 Instructions
- + ML Inference Memory
Commands
neither file has anySection tags
0 shared · 1 only in A · 1 only in B- − agent-behaviour
- + performance
Line diff
Aledon8/OpenLeukemia · .github/instructions/supabase.instructions.md
@@ −1 @@
1---
2applyTo: "supabase/**/*"
3---
4
5# Supabase Instructions
6
7- Use Supabase for auth, CRUD, storage, consent records, RLS, and lightweight Edge Functions.
8- Keep heavy ML, OCR, extraction, parsing, and model workflows in `ai-service`.
9- Treat RLS as a primary protection layer.
10- Pair sensitive tables with narrow, auditable policies.
11- Plan affected data flows and access paths before schema or policy changes.
12
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−applyTo: "supabase/**/*"
3−---
1+# ML Inference Memory
42
5−# Supabase Instructions
3+Apply this inside `ml/inference/`.
64
7−- Use Supabase for auth, CRUD, storage, consent records, RLS, and lightweight Edge Functions.
8−- Keep heavy ML, OCR, extraction, parsing, and model workflows in `ai-service`.
9−- Treat RLS as a primary protection layer.
10−- Pair sensitive tables with narrow, auditable policies.
11−- 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.
129
