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2 of your 4 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 52.53s for a 63.0 MB repo slow.
  • Repobility's analysis ran in 0.08s after the clone landed.

NVIDIA/cosmos

https://github.com/NVIDIA/cosmos · scanned 2026-06-11 23:31 UTC (1 day, 9 hours ago) · 10 languages

44 raw signals (2 security + 42 graph) 11/13 scanners ran 94th percentile · Python · tiny (<2K LoC) System graph score 97 (lower by 19)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 day, 9 hours ago · v9 · 9 actionable findings from 2 signal sources. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
85.5
/100
Security checks
74
2 findings
System graph
97
77.8% cov · 7 findings
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 45.0 0.15 6.75
security_score 100.0 0.25 25.00
testing_score 70.0 0.20 14.00
documentation_score 90.0 0.15 13.50
practices_score 70.0 0.15 10.50
code_quality 80.0 0.10 8.00
Overall 1.00 77.8
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: severity: high × excluding tests × Reset all
Severity: Critical 0 High 0 Medium 4 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 2 System graph 7 Crowd 0 Layer: Quality 4 Software 1 Api 1 Frontend 1 Security 1 Cicd 1
Scan summary Repository scanned at 96.8/100 with 77.8% coverage. It contains 73 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 7 findings — concentrated in quality (2), software (1), api (1). Risk profile is low: 0 critical, 0 high, 4 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 0 of 9 actionable 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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