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xvirobotics/metabot

https://github.com/xvirobotics/metabot · scanned 2026-05-31 01:23 UTC (5 days, 13 hours ago) · 10 languages

216 findings (85 legacy + 131 scanner) 70th percentile · Typescript · medium (20-100K LoC) Scanner says 72 (higher by 8)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 hours ago · v2 · 150 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
74.4
/100
Repobility
76
85 legacy
9-layer
72
100.0% cov · 65 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 85.0 0.15 12.75
security_score 64.3 0.25 16.07
testing_score 95.0 0.20 19.00
documentation_score 92.0 0.15 13.80
practices_score 87.0 0.15 13.05
code_quality 54.6 0.10 5.46
Overall 1.00 80.1
Severity distribution — click a segment to filter
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Severity: Critical 0 High 38 Medium 20 Low 53 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 85 9-layer 65 Crowd 0 Layer: Quality 71 Security 15 Cicd 8 Software 44 Api 1 Frontend 7 Hardware 4
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Scan summary Repository scanned at 72.3/100 with 100.0% coverage. It contains 985 nodes across 8 cross-layer flows, written primarily in mixed languages. Engine surfaced 65 findings — concentrated in quality (29), software (21), frontend (7). Risk profile is low: 0 critical, 0 high, 14 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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