RCode12/izakaya-tracker

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Scan timing: clone 1.65s · analysis 0.4s · 0.5 MB · GitHub preflight 478ms

https://github.com/RCode12/izakaya-tracker.git · scanned 2026-05-27 13:32 UTC (1 week, 2 days ago) · 10 languages

42 findings (24 legacy + 18 scanner) 30th percentile · Typescript · tiny (<2K LoC) Scanner says 93 (lower by 37)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 2 days ago · v2 · 33 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	100.0	0.15	15.00
`security_score`	84.5	0.25	21.12
`testing_score`	0.0	0.20	0.00
`documentation_score`	38.7	0.15	5.81
`practices_score`	42.0	0.15	6.30
`code_quality`	79.4	0.10	7.94
Overall		1.00	56.2

Severity distribution — click a segment to filter

Active filters: layer: hardware × excluding tests × Reset all

Severity: Critical 0 High 6 Medium 7 Low 9 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 24 9-layer 9 Crowd 0 Layer: Quality 18 Security 7 Software 3 Api 1 Frontend 2 Data 1 Cicd 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 93.3/100 with 88.9% coverage. It contains 135 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 9 findings — concentrated in software (2), frontend (2), api (1). Risk profile is low: 0 critical, 0 high, 4 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 0 of 33 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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