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tylerphamm/ml-data-engineering

https://github.com/tylerphamm/ml-data-engineering · scanned 2026-06-16 00:44 UTC (2 months, 1 week ago)

53 raw signals (0 security + 53 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 47 actionable findings from 1 signal source. 6 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
1 healthy 18 warning
POST /login
warning
endpoint 4 gaps risk 0.75
PII
POST /register
warning
endpoint 4 gaps risk 0.75
PII
GET /metrics
warning
endpoint 3 gaps risk 0.45
GET /health
healthy
endpoint risk 0.40
GET /me
warning
endpoint 4 gaps risk 0.35
auth PII
POST /logout
warning
endpoint 4 gaps risk 0.35
auth PII
DELETE /{conv_id}
warning
endpoint 4 gaps risk 0.05
auth
DELETE /{document_id}
warning
endpoint 4 gaps risk 0.05
auth
GET /
warning
endpoint 4 gaps risk 0.05
auth
GET /{conv_id}
warning
endpoint 4 gaps risk 0.05
auth
PATCH /{conv_id}
warning
endpoint 4 gaps risk 0.05
auth
POST /
warning
endpoint 4 gaps risk 0.05
auth
POST /file
warning
endpoint 4 gaps risk 0.05
auth
POST /{conv_id}/messages
warning
endpoint 4 gaps risk 0.05
auth
POST /{message_id}/feedback
warning
endpoint 1 gap risk 0.05
auth
GET /api/orders
warning
endpoint 3 gaps risk 0.05
auth
GET /api/stats
warning
endpoint 3 gaps risk 0.05
auth
POST /api/orders
warning
endpoint 3 gaps risk 0.05
auth

Showing first 18 of 19 flows. The full set is available via the Findings tab — filter by tags=flow-* for flow-tagged gaps.

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