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13145125121/BotTG

https://github.com/13145125121/BotTG.git · scanned 2026-05-28 22:10 UTC (1 week ago) · 10 languages

2021 findings (206 legacy + 1815 scanner) 10/13 scanners ran 68th percentile · Typescript · large (100-500K LoC) Scanner says 59 (higher by 20)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v3 · 811 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
73.7
/100
Repobility
88
206 legacy
9-layer
59
100.0% cov · 605 gaps
Critical
13
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 100.0 0.25 25.00
testing_score 44.0 0.20 8.80
documentation_score 87.0 0.15 13.05
practices_score 94.0 0.15 14.10
code_quality 60.0 0.10 6.00
Overall 1.00 79.7
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: search: "commented-code" × excluding tests × Reset all
Severity: Critical 13 High 116 Medium 93 Low 435 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 206 9-layer 605 Crowd 0 Layer: Quality 264 Security 60 Cicd 9 Software 65 Frontend 354 Hardware 4 Api 55
Scan summary Repository scanned at 59.2/100 with 100.0% coverage. It contains 7815 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 605 findings — concentrated in frontend (354), quality (129), software (55). Risk profile is high: 5 critical, 6 high, 83 medium. Recommended next step: open the frontend layer findings first — that's where the highest-impact wins live.

Showing 0 of 811 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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