Verification | Retina Scan AI

Quality Notes - Retina Scan AI

Updated: 2026-05-30

These notes keep the repository easy to review without overstating what is production-ready.

Profile

Commands

CI

• .github/workflows/architecture-blueprint.yml
• .github/workflows/ci.yml
• .github/workflows/dependency-review.yml
• .github/workflows/repository-health.yml
• .github/workflows/repository-surface.yml
• .github/workflows/secret-scan.yml

Boundaries

• Demo, fixture, and synthetic-data modes must stay clearly labeled.
• Provider keys, tenant credentials, warehouse secrets, medical data, financial data, or customer logs must never be committed.
• Production claims require environment-specific validation, monitoring, rollback, and human approval paths.
• Screenshots, videos, and README claims should match the current implementation and documented commands.

Before Presenting

• README explains the user, the pain, the safety boundary, and the fast path.
• docs/service-launch-playbook.md explains the product, pilot, service, or proof-of-value angle when relevant.
• Tests or smoke checks are documented even when optional infrastructure is unavailable.
• Failure modes and unsupported claims are visible before the project is presented externally.

Checked-in evidence inventory

The following files and commands are discovered from this repository rather than inferred from a generic template. Their presence does not prove production readiness by itself; it gives reviewers a concrete path to reproduce the maintained checks.

Verification commands

• npm run verify
• npm run test
• npm run lint
• make verify
• make test
• make lint

Test files

• tests/__init__.py
• tests/__pycache__/__init__.cpython-311.pyc
• tests/__pycache__/__init__.cpython-312.pyc
• tests/__pycache__/test_api.cpython-312-pytest-9.1.1.pyc
• tests/__pycache__/test_api.cpython-312.pyc
• tests/__pycache__/test_checkpoint_loading.cpython-311-pytest-9.0.3.pyc
• tests/__pycache__/test_checkpoint_loading.cpython-312-pytest-9.1.1.pyc
• tests/__pycache__/test_checkpoint_loading.cpython-312.pyc
• tests/__pycache__/test_dataset.cpython-312-pytest-9.1.1.pyc
• tests/__pycache__/test_dataset.cpython-312.pyc
• tests/__pycache__/test_dicom_scp_config.cpython-311-pytest-9.0.3.pyc
• tests/__pycache__/test_dicom_scp_config.cpython-312-pytest-9.1.1.pyc
• tests/__pycache__/test_dicom_scp_config.cpython-312.pyc
• tests/__pycache__/test_model.cpython-312-pytest-9.1.1.pyc
• tests/__pycache__/test_model.cpython-312.pyc
• tests/__pycache__/test_public_site.cpython-312-pytest-9.1.1.pyc
• tests/__pycache__/test_train.cpython-312-pytest-9.1.1.pyc
• tests/__pycache__/test_train.cpython-312.pyc
• tests/test_api.py
• tests/test_checkpoint_loading.py

Continuous integration workflows

• .github/workflows/architecture-blueprint.yml
• .github/workflows/ci.yml
• .github/workflows/dependency-review.yml
• .github/workflows/github-pages-demo.yml
• .github/workflows/repository-health.yml
• .github/workflows/repository-surface.yml
• .github/workflows/secret-scan.yml

How to interpret the result

A passing local or CI check supports only the behavior covered by that check. It does not establish security certification, regulatory approval, clinical validity, production availability, or a customer outcome. Review the source, fixtures, environment assumptions, and failure paths before extending the result to another deployment.