ejri/AI-Guidelines-in-BC-Healthcare

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https://github.com/ejri/AI-Guidelines-in-BC-Healthcare · scanned 2026-05-18 14:47 UTC (2 weeks, 3 days ago) · 10 languages

63 findings (15 legacy + 48 scanner) 32nd percentile · Typescript · small (2-20K LoC) Scanner says 92 (lower by 32)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 3 days ago · v3 · 31 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`	97.0	0.25	24.25
`testing_score`	0.0	0.20	0.00
`documentation_score`	46.7	0.15	7.00
`practices_score`	42.0	0.15	6.30
`code_quality`	70.0	0.10	7.00
Overall		1.00	59.6

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Active filters: severity: high × excluding tests × Reset all

Severity: Critical 0 High 0 Medium 6 Low 18 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 15 9-layer 16 Crowd 0 Layer: Quality 16 Security 2 Software 10 Api 1 Frontend 1 Cicd 1

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Scan summary Repository scanned at 92.1/100 with 66.7% coverage. It contains 88 nodes across 1 cross-layer flows, written primarily in mixed languages. Engine surfaced 16 findings — concentrated in software (10), quality (2), api (1). Risk profile is low: 0 critical, 0 high, 3 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

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