| Dimension | Shared | Only in A | Only in B | Overlap |
|---|---|---|---|---|
| Sections | 0 | 1 | 1 | 0% |
| Commands | 0 | 0 | 0 | — |
| Section tags | 1 | 1 | 0 | 50% |
What each file covers
Sections
0 shared · 1 only in A · 1 only in B- − ML Instructions
- + Consent Rules
Commands
neither file has anySection tags
1 shared · 1 only in A · 0 only in B- − agent-behaviour
- do-not
Line diff
Aledon8/OpenLeukemia · .github/instructions/ml.instructions.md
@@ −1 @@
1---
2applyTo: "ml/**/*"
3---
4
5# ML Instructions
6
7- Keep structured ML workflows separate from LLM explanation workflows.
8- Use measurable criteria: split, metric, threshold, calibration, and known failure modes.
9- Do not commit patient-identifying or sensitive medical data.
10- Model outputs support signals and trends, not diagnosis or treatment guidance.
11- Document label assumptions, cohort limitations, and evaluation caveats near the relevant code or report.
12
Aledon8/OpenLeukemia · .cursor/rules/consents.mdc
@@ +1 @@
1---
2description: Consent behavior rules across frontend and API
3globs:
4 - "frontend/src/features/consents/**/*"
5 - "ai-service/app/domains/consents/**/*"
6 - "ai-service/app/api/v1/consents.py"
7alwaysApply: false
8---
9
10# Consent Rules
11
12- Consent is never implied by registration, navigation, or another consent.
13- Keep each consent separate, explicit, auditable, and reversible.
14- Do not merge cloud storage, research participation, AI improvement, or community sharing into one choice.
15- Keep frontend consent identifiers aligned with API/domain consent types.
16- Add or update tests when consent types, labels, API responses, or service behavior change.
17
@@ −1 +1 @@
11 ---
2−applyTo: "ml/**/*"
2+description: Consent behavior rules across frontend and API
3+globs:
4+ - "frontend/src/features/consents/**/*"
5+ - "ai-service/app/domains/consents/**/*"
6+ - "ai-service/app/api/v1/consents.py"
7+alwaysApply: false
38 ---
49
5−# ML Instructions
10+# Consent Rules
611
7−- Keep structured ML workflows separate from LLM explanation workflows.
8−- Use measurable criteria: split, metric, threshold, calibration, and known failure modes.
9−- Do not commit patient-identifying or sensitive medical data.
10−- Model outputs support signals and trends, not diagnosis or treatment guidance.
11−- Document label assumptions, cohort limitations, and evaluation caveats near the relevant code or report.
12+- Consent is never implied by registration, navigation, or another consent.
13+- Keep each consent separate, explicit, auditable, and reversible.
14+- Do not merge cloud storage, research participation, AI improvement, or community sharing into one choice.
15+- Keep frontend consent identifiers aligned with API/domain consent types.
16+- Add or update tests when consent types, labels, API responses, or service behavior change.
1217
