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Diff/aledon8-openleukemia-supabase-policies-claude ↔ aledon8-openleukemia-github-copilot-instructions

Comparison

A · CLAUDE.md · Aledon8/OpenLeukemiaB · Copilot instructions · Aledon8/OpenLeukemia
What each file covers, counted
DimensionSharedOnly in AOnly in BOverlap
Sections0140%
Commands0070%
Section tags0140%

What each file covers

Sections

0 shared · 1 only in A · 4 only in B
  • − Supabase Policies Memory
  • + GitHub Copilot Instructions
  • + Always Follow
  • + Stack And Commands
  • + Workflow

Commands

0 shared · 0 only in A · 7 only in B
  • + npm run lint:frontend
  • + npm run typecheck:frontend
  • + npm test --workspace frontend
  • + npm --workspace frontend run build
  • + python -m ruff check .
  • + python -m pytest
  • + python -m mypy app

Section tags

0 shared · 1 only in A · 4 only in B
  • − performance
  • + test
  • + lint-format
  • + code-style
  • + agent-behaviour

Line diff

+27 added−7 removed3 unchanged10.0% 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 · .github/copilot-instructions.md
@@ +1 @@
1# GitHub Copilot Instructions
2 
3OpenLeukemia is a patient-centered leukemia data platform. It organizes medical data, tracks changes over time, extracts structured information from documents, and explains validated model outputs in plain language.
4 
5## Always Follow
6 
7- Preserve explicit consent, privacy-by-default behavior, and patient ownership of data.
8- Registration is not blanket consent.
9- AI output may summarize, extract, and explain; it must not diagnose, recommend treatment, or make urgent clinical judgments.
10- Treat LLM extraction as candidate data until validated or confirmed.
11- Prefer minimal, focused changes that match nearby code.
12- Do not introduce dependencies, API changes, schema changes, or consent-flow changes without clear need.
13- Add or update tests when behavior changes.
14- Run or recommend the relevant check after changes.
15 
16## Stack And Commands
17 
18- Frontend: React 19, TypeScript, Vite, Vitest, ESLint.
19- Platform: Supabase Auth, Postgres, Storage, RLS, Edge Functions.
20- AI service: Python 3.12, FastAPI, Pydantic, Uvicorn.
21- Frontend checks: `npm run lint:frontend`, `npm run typecheck:frontend`, `npm test --workspace frontend`, `npm --workspace frontend run build`.
22- AI-service checks from `ai-service/`: `python -m ruff check .`, `python -m pytest`, `python -m mypy app`.
23 
24## Workflow
25 
26- Read nearby files before editing and follow the existing pattern.
27- For multi-file or risky changes, identify touched files and verification steps before implementation.
28- Use artifacts as primary evidence: errors, logs, screenshots, issues, plans, and referenced files.
29- Verify work with tests, build, lint, typecheck, or visual comparison when practical.
30 
@@ −1 +1 @@
1−# Supabase Policies Memory
1+# GitHub Copilot Instructions
22  
3−Apply this inside `supabase/policies/`.
3+OpenLeukemia is a patient-centered leukemia data platform. It organizes medical data, tracks changes over time, extracts structured information from documents, and explains validated model outputs in plain language.
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+## Always Follow
6+ 
7+- Preserve explicit consent, privacy-by-default behavior, and patient ownership of data.
8+- Registration is not blanket consent.
9+- AI output may summarize, extract, and explain; it must not diagnose, recommend treatment, or make urgent clinical judgments.
10+- Treat LLM extraction as candidate data until validated or confirmed.
11+- Prefer minimal, focused changes that match nearby code.
12+- Do not introduce dependencies, API changes, schema changes, or consent-flow changes without clear need.
13+- Add or update tests when behavior changes.
14+- Run or recommend the relevant check after changes.
15+ 
16+## Stack And Commands
17+ 
18+- Frontend: React 19, TypeScript, Vite, Vitest, ESLint.
19+- Platform: Supabase Auth, Postgres, Storage, RLS, Edge Functions.
20+- AI service: Python 3.12, FastAPI, Pydantic, Uvicorn.
21+- Frontend checks: `npm run lint:frontend`, `npm run typecheck:frontend`, `npm test --workspace frontend`, `npm --workspace frontend run build`.
22+- AI-service checks from `ai-service/`: `python -m ruff check .`, `python -m pytest`, `python -m mypy app`.
23+ 
24+## Workflow
25+ 
26+- Read nearby files before editing and follow the existing pattern.
27+- For multi-file or risky changes, identify touched files and verification steps before implementation.
28+- Use artifacts as primary evidence: errors, logs, screenshots, issues, plans, and referenced files.
29+- Verify work with tests, build, lint, typecheck, or visual comparison when practical.
1030  
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