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Normalize recoverable leaf ranges

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Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
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Jesper Schulz-Wedde 2026-09-11 15:18:06 +02:00
parent 51597068b1
commit 078169d68e
6 changed files with 252 additions and 20 deletions
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7
docs/contributing.md
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@ -161,12 +161,15 @@ If PyYAML is not installed in your development environment, install it with
```powershell
python .github\scripts\validate_frontmatter.py --root .
pwsh .\tools\Test-ReviewFixtures.ps1 -Root .
pwsh .\tools\Test-ReviewContract.ps1 -Root .
```
The first command checks schema, sections, naming, sample references, and
skill registration. The second checks that every review leaf has a valid
positive/clean sample pair. Neither proves a model will find every defect.
See [evaluation](../evaluation/README.md) for optional model-based scoring.
positive/clean sample pair. The third checks the cross-surface findings-report
contract and its bounded range-normalization cases. None proves a model will
find every defect. See [evaluation](../evaluation/README.md) for optional
model-based scoring.
In the PR description, explain the mistake being prevented, supporting
evidence, applicable BC versions, and why the chosen domain owns it. For a