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Scan timing: clone 1.63s · analysis 1.2s · 0.8 MB · GitHub preflight 459ms

maruturisaisasidhar/vcodex

https://github.com/maruturisaisasidhar/vcodex.git · scanned 2026-05-22 12:47 UTC (2 weeks ago) · 10 languages

172 findings (44 legacy + 128 scanner) 25th percentile · Javascript · small (2-20K LoC) Scanner says 63 (lower by 15)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks ago · v2 · 108 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
64.3
/100
Repobility
66
44 legacy
9-layer
63
88.9% cov · 64 gaps
Critical
4
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 100.0 0.15 15.00
security_score 49.4 0.25 12.35
testing_score 0.0 0.20 0.00
documentation_score 40.7 0.15 6.11
practices_score 42.0 0.15 6.30
code_quality 80.0 0.10 8.00
Overall 1.00 47.8
Severity distribution — click a segment to filter
Active filters: layer: network × excluding tests × Reset all
Severity: Critical 4 High 13 Medium 9 Low 38 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 44 9-layer 64 Crowd 0 Layer: Quality 54 Security 15 Software 12 Frontend 21 Cicd 1 Api 5
Scan summary Repository scanned at 62.9/100 with 88.9% coverage. It contains 389 nodes across 21 cross-layer flows, written primarily in mixed languages. Engine surfaced 64 findings — concentrated in quality (23), frontend (21), software (11). Risk profile is high: 1 critical, 3 high, 6 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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