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Scan timing: clone 4.19s · analysis 8.43s · 43.6 MB · GitHub preflight 481ms

teng-lin/notebooklm-py

https://github.com/teng-lin/notebooklm-py.git · scanned 2026-05-21 12:05 UTC (2 weeks, 1 day ago) · 10 languages

675 findings (165 legacy + 510 scanner) 11/13 scanners ran 97th percentile · Python · large (100-500K LoC) Scanner says 88 (higher by 5)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 1 day ago · v2 · 420 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
Combined
92.6
/100
Repobility
98
165 legacy
9-layer
88
100.0% cov · 255 gaps
Critical
4
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 100.0 0.15 15.00
security_score 100.0 0.25 25.00
testing_score 100.0 0.20 20.00
documentation_score 100.0 0.15 15.00
practices_score 89.0 0.15 13.35
code_quality 45.0 0.10 4.50
Overall 1.00 92.8
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 4 High 129 Medium 19 Low 91 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 165 9-layer 255 Crowd 0 Layer: Quality 347 Security 5 Software 41 Api 1 Network 2 Frontend 1 Cicd 23

Last 2 scans of this repo. Each new scan persists a full payload — historical comparison is exact, not lossy.

v1
May 21 12:04
v2
May 21 12:07
Diff: previous → latest scan
Score Δ
0.00
Gaps added
0
Gaps resolved
0
Edges changed
+0 / -0
v#IDStatusScoreGapsNodesCommitStarted
v scan_d7dd1f033b14 ok 87.6 255 9045 47d6a07 May 21 12:07
v scan_dbcf78e40aa9 ok 87.6 255 9045 47d6a07 May 21 12:04
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