vm0-ai/vm0

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Upstream (GitHub) caused delay on this scan — not Repobility.

GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
Clone from GitHub took 55.76s for a 179.7 MB repo slow.
Repobility's analysis ran in 32.95s after the clone landed.

https://github.com/vm0-ai/vm0 · scanned 2026-05-31 01:27 UTC (5 days, 13 hours ago) · 10 languages

1670 findings (261 legacy + 1409 scanner) 11/13 scanners ran 42nd percentile · Typescript · huge (>500K LoC) Scanner says 59 (higher by 24)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 hours ago · v2 · last Δ -4.4 (diff) · 950 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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100.0% cov · 689 gaps

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	40.0	0.15	6.00
`security_score`	100.0	0.25	25.00
`testing_score`	100.0	0.20	20.00
`documentation_score`	98.0	0.15	14.70
`practices_score`	82.0	0.15	12.30
`code_quality`	51.0	0.10	5.10
Overall		1.00	83.1

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

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

Severity: Critical 43 High 151 Medium 194 Low 356 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 261 9-layer 689 Crowd 0 Layer: Quality 423 Security 42 Software 148 Cicd 87 Api 1 Frontend 241 Network 3 Hardware 5

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Scan summary Repository scanned at 58.9/100 with 100.0% coverage. It contains 17603 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 689 findings — concentrated in quality (283), frontend (241), cicd (75). Risk profile is high: 11 critical, 2 high, 186 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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