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62 of your 86 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.
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 132.35s for a 149.4 MB repo slow.
  • Repobility's analysis ran in 1.12s after the clone landed.

VibeVoice

https://github.com/microsoft/VibeVoice.git · scanned 2026-05-24 01:24 UTC (1 week, 5 days ago) · 10 languages

216 findings (80 legacy + 136 scanner) 11/13 scanners ran 39th percentile · Python · small (2-20K LoC) Scanner says 92 (lower by 28)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 5 days ago · v2 · 148 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
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 100.0 0.25 25.00
testing_score 13.0 0.20 2.60
documentation_score 95.0 0.15 14.25
practices_score 40.0 0.15 6.00
code_quality 45.0 0.10 4.50
Overall 1.00 63.6
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: search: "legacy-markers" × excluding tests × Reset all
Scan summary Repository scanned at 91.8/100 with 88.9% coverage. It contains 547 nodes across 2 cross-layer flows, written primarily in mixed languages. Engine surfaced 68 findings — concentrated in quality (31), software (23), security (10). Risk profile is high: 0 critical, 8 high, 6 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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