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124 of your 269 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 3.04s · analysis 31.33s · 5.6 MB · GitHub preflight 521ms

lfnovo/open-notebook

https://github.com/lfnovo/open-notebook · scanned 2026-06-13 23:41 UTC (1 day, 8 hours ago) · 10 languages

1087 raw signals (261 security + 826 graph) 17th percentile · Typescript · medium (20-100K LoC) System graph score 57 (lower by 6)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 day, 8 hours ago · v3 · 388 actionable findings from 2 signal sources. 348 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
47.0
/100
Security checks
37
160 findings
System graph
57
100.0% cov · 228 findings
Critical
16
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 0.9 0.25 0.23
testing_score 52.0 0.20 10.40
documentation_score 100.0 0.15 15.00
practices_score 86.0 0.15 12.90
code_quality 33.9 0.10 3.39
Overall 1.00 50.9
Severity distribution — click a segment to filter
Active filters: search: "commented-code" × excluding tests × Reset all
Severity: Critical 16 High 163 Medium 24 Low 140 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 160 System graph 228 Crowd 0 Layer: Security 114 Quality 88 Software 106 Cicd 16 Frontend 11 Hardware 3 Api 50
Scan summary Repository scanned at 56.7/100 with 100.0% coverage. It contains 2134 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 276 findings — concentrated in security (79), software (59), api (50). Risk profile is high: 12 critical, 64 high, 27 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 0 of 388 actionable findings. 736 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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