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Diff/aledon8-openleukemia-ai-service-tests-claude ↔ aledon8-openleukemia-cursor-rules-ml

Comparison

A · CLAUDE.md · Aledon8/OpenLeukemiaB · Cursor rules · Aledon8/OpenLeukemia
What each file covers, counted
DimensionSharedOnly in AOnly in BOverlap
Sections0310%
Commands0300%
Section tags13025%

What each file covers

Sections

0 shared · 3 only in A · 1 only in B
  • − AI Service Test Instructions
  • − Commands
  • − Rules
  • + ML Rules

Commands

0 shared · 3 only in A · 0 only in B
  • − python -m pytest
  • − python -m pytest tests/test_health.py
  • − python -m pytest tests/test_consents.py

Section tags

1 shared · 3 only in A · 0 only in B
  • − test
  • − code-style
  • − agent-behaviour
  •   do-not

Line diff

+12 added−17 removed3 unchanged15.0% identical
Aledon8/OpenLeukemia · ai-service/tests/CLAUDE.md
@@ −1 @@
1# AI Service Test Instructions
 
 
 
 
 
2 
3## Commands
4 
5Run from `ai-service/`:
6 
7```sh
8python -m pytest
9python -m pytest tests/test_health.py
10python -m pytest tests/test_consents.py
11```
12 
13## Rules
14 
15- Keep tests focused on externally visible behavior and domain contracts.
16- Cover consent and privacy-sensitive behavior conservatively.
17- Prefer clear test names that describe the expected behavior.
18- Add regression tests when fixing bugs in API routes, schemas, or domain services.
19- If a test fails, fix the root cause and rerun the smallest failing test before broader checks.
20 
Aledon8/OpenLeukemia · .cursor/rules/ml.mdc
@@ +1 @@
1---
2description: ML workspace rules
3globs:
4 - "ml/**/*"
5alwaysApply: false
6---
7 
8# ML Rules
9 
10- Keep structured ML workflows separate from LLM explanation workflows.
11- Use measurable criteria: split, metric, threshold, calibration, and known failure modes.
12- Do not commit patient-identifying or sensitive medical data.
13- Model outputs support signals and trends, not diagnosis or treatment guidance.
14- Document label assumptions, cohort limitations, and evaluation caveats near relevant code or reports.
 
 
 
 
 
 
 
 
 
 
15 
@@ −1 +1 @@
1−# AI Service Test Instructions
1+---
2+description: ML workspace rules
3+globs:
4+ - "ml/**/*"
5+alwaysApply: false
6+---
27  
3−## Commands
8+# ML Rules
49  
5−Run from `ai-service/`:
6− 
7−```sh
8−python -m pytest
9−python -m pytest tests/test_health.py
10−python -m pytest tests/test_consents.py
11−```
12− 
13−## Rules
14− 
15−- Keep tests focused on externally visible behavior and domain contracts.
16−- Cover consent and privacy-sensitive behavior conservatively.
17−- Prefer clear test names that describe the expected behavior.
18−- Add regression tests when fixing bugs in API routes, schemas, or domain services.
19−- If a test fails, fix the root cause and rerun the smallest failing test before broader checks.
10+- Keep structured ML workflows separate from LLM explanation workflows.
11+- Use measurable criteria: split, metric, threshold, calibration, and known failure modes.
12+- Do not commit patient-identifying or sensitive medical data.
13+- Model outputs support signals and trends, not diagnosis or treatment guidance.
14+- Document label assumptions, cohort limitations, and evaluation caveats near relevant code or reports.
2015  
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