| Dimension | Shared | Only in A | Only in B | Overlap |
|---|---|---|---|---|
| Sections | 0 | 1 | 1 | 0% |
| Commands | 0 | 0 | 0 | — |
| Section tags | 1 | 1 | 2 | 25% |
What each file covers
Sections
0 shared · 1 only in A · 1 only in B- − ML Training Memory
- + Documentation Instructions
Commands
neither file has anySection tags
1 shared · 1 only in A · 2 only in B- − performance
- + agent-behaviour
- + docs
- code-style
Line diff
Aledon8/OpenLeukemia · ml/training/CLAUDE.md
@@ −1 @@
1# ML Training Memory
2
3Apply this inside `ml/training/`.
4
5- Prefer reproducible training scripts with explicit inputs, seeds, outputs, and metrics.
6- Keep patient-identifying data out of the repository.
7- Document label assumptions and cohort limitations near the training code.
8- Structured models support signals and trends, not diagnosis.
9
Aledon8/OpenLeukemia · .github/instructions/docs.instructions.md
@@ +1 @@
1---
2applyTo: "docs/**/*.md,*.md"
3---
4
5# Documentation Instructions
6
7- Write in plain, precise language for patients, contributors, and reviewers.
8- Keep privacy, consent, patient control, and non-diagnostic AI limits visible.
9- Prefer durable project facts over session-specific notes.
10- Match the structure and voice of nearby documents.
11
@@ −1 +1 @@
1−# ML Training Memory
1+---
2+applyTo: "docs/**/*.md,*.md"
3+---
24
3−Apply this inside `ml/training/`.
5+# Documentation Instructions
46
5−- Prefer reproducible training scripts with explicit inputs, seeds, outputs, and metrics.
6−- Keep patient-identifying data out of the repository.
7−- Document label assumptions and cohort limitations near the training code.
8−- Structured models support signals and trends, not diagnosis.
7+- Write in plain, precise language for patients, contributors, and reviewers.
8+- Keep privacy, consent, patient control, and non-diagnostic AI limits visible.
9+- Prefer durable project facts over session-specific notes.
10+- Match the structure and voice of nearby documents.
911
