yeabsirateshale73-dot/realtime-sentiment-engine

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yeabsirateshale73-dot/realtime-sentiment-engine

https://github.com/yeabsirateshale73-dot/realtime-sentiment-engine.git · scanned 2026-05-28 23:49 UTC (1 week ago) · 10 languages

49 findings (19 legacy + 30 scanner) 38th percentile · Python · tiny (<2K LoC) Scanner says 87 (lower by 28)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v2 · 34 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`	55.0	0.15	8.25
`security_score`	100.0	0.25	25.00
`testing_score`	38.0	0.20	7.60
`documentation_score`	40.0	0.15	6.00
`practices_score`	30.0	0.15	4.50
`code_quality`	80.0	0.10	8.00
Overall		1.00	59.4

Severity distribution — click a segment to filter

Active filters: source: crowd × excluding tests × Reset all

Severity: Critical 0 High 14 Medium 3 Low 12 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 19 9-layer 15 Crowd 0 Layer: Quality 20 Software 5 Frontend 1 Security 3 Cicd 1 Api 4

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Scan summary Repository scanned at 86.9/100 with 88.9% coverage. It contains 93 nodes across 5 cross-layer flows, written primarily in mixed languages. Engine surfaced 15 findings — concentrated in software (5), api (4), security (3). Risk profile is high: 0 critical, 2 high, 2 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 0 of 34 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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