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ashwindas-certify/npdb-reconciliation

https://github.com/ashwindas-certify/npdb-reconciliation · scanned 2026-06-17 01:35 UTC (1 month, 2 weeks ago)

13 raw signals (0 security + 13 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ +13.2 (diff) · 13 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Scan summary Repository scanned at 89.9/100 with 88.9% coverage. It contains 101 nodes across 6 cross-layer flows, written primarily in mixed languages. Engine surfaced 13 findings — concentrated in quality (7), security (3), hardware (2). Risk profile is high: 0 critical, 1 high, 7 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 13 of 13 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high System graph security auth conf 1.00 FastAPI POST `run` without auth dependency — backend/main.py:77
`@router.post` decorator with no `Depends(get_current_user)` or auth-shaped dependency in its signature. Mutating endpoints should require authentication unless explicitly public.
backend/main.py:77 securityAuth fastapi unauth mutation
medium System graph quality Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: license, ci, tests. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.
Repo hardeningGenerated repo pattern
medium System graph quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data
A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.
Mock dataCritical flowGenerated repo pattern
medium System graph hardware Security conf 1.00 Dockerfile runs as root: Dockerfile
No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.
Container
medium System graph security security conf 1.00 Insecure pattern 'cors_wildcard' in backend/main.py:21
Found a known-risky pattern (cors_wildcard). Review and replace if possible.
backend/main.py:21 Cors wildcard
medium System graph security Coverage conf 1.00 No auth library detected
The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.
auth
medium System graph cicd CI/CD security conf 1.00 No CI/CD pipelines detected
No GitHub Actions, GitLab CI, or CircleCI configs found. Without CI you can't gate deploys on tests/lints.
CI/CD securityCoverage
medium System graph quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 7 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
low System graph hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: python:3.12-slim
Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.
Dockerfile:1 containersPinned dependencies
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: reconcile_core.py:fmt, reconcile_core.py:fmt This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why they're separate.
duplicatesduplication
low System graph quality Integrity conf 1.00 Near-duplicate function bodies in 3 places
Functions with the same first-5-line body hash: reconcile_core.py:rgb, reconcile_core.py:rgb, reconcile_core.py:rgb This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why they're separate.
duplicatesduplication
low System graph quality License conf 1.00 No license file detected
No LICENSE/COPYING/NOTICE file was found. Generated repositories often omit licensing, which blocks reuse and automated intake.
Repo hardeningGenerated repo pattern
low System graph quality Complexity conf 1.00 Very large file: reconcile_core.py (1307 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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