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Scan timing: clone 2.36s · analysis 1.2s · 4.4 MB · GitHub API rate-limit (preflight)

NVIDIA/personaplex

https://github.com/NVIDIA/personaplex · scanned 2026-05-24 01:24 UTC (2 weeks, 6 days ago) · 10 languages

276 raw signals (67 security + 209 graph) 21st percentile · Typescript · small (2-20K LoC) System graph score 77 (lower by 19)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v2 · 116 actionable findings from 2 signal sources. 55 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
73.1
/100
Security checks
69
30 findings
System graph
77
88.9% cov · 86 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 55.0 0.15 8.25
security_score 93.5 0.25 23.38
testing_score 0.0 0.20 0.00
documentation_score 78.0 0.15 11.70
practices_score 52.0 0.15 7.80
code_quality 71.0 0.10 7.10
Overall 1.00 58.2
Severity distribution — click a segment to filter
Active filters: search: "commented-code" × excluding tests × Reset all
Severity: Critical 0 High 10 Medium 12 Low 58 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 30 System graph 86 Crowd 0 Layer: Cicd 10 Quality 46 Software 33 Api 1 Frontend 17 Hardware 4 Security 5
Scan summary Quality grade C (58/100). Dimensions: security 94, maintainability 55. 67 findings (1 security). 11,278 lines analyzed.

Showing 0 of 116 actionable findings. 171 raw detector signals were grouped into reader-sized issues. 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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