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puneetv503-dot/smartdukan-backend

https://github.com/puneetv503-dot/smartdukan-backend.git · scanned 2026-05-26 07:22 UTC (1 week, 3 days ago) · 10 languages

29 findings (15 legacy + 14 scanner) 51st percentile · Python · tiny (<2K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 3 days ago · v2 · 22 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
63.6
/100
Repobility
63
15 legacy
9-layer
64
66.7% cov · 7 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 30.0 0.15 4.50
security_score 95.5 0.25 23.88
testing_score 70.0 0.20 14.00
documentation_score 25.0 0.15 3.75
practices_score 72.0 0.15 10.80
code_quality 80.0 0.10 8.00
Overall 1.00 64.9
Severity distribution — click a segment to filter
Active filters: layer: data × excluding tests × Reset all
Severity: Critical 0 High 4 Medium 12 Low 4 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 15 9-layer 7 Crowd 0 Layer: Quality 7 Security 6 Software 5 Frontend 1 Cicd 1 Api 2
Scan summary Repository scanned at 63.7/100 with 66.7% coverage. It contains 9 nodes across 2 cross-layer flows, written primarily in mixed languages. Engine surfaced 7 findings — concentrated in security (2), api (2), frontend (1). Risk profile is high: 0 critical, 1 high, 3 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

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