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yikart/AiToEarn

https://github.com/yikart/AiToEarn · scanned 2026-05-15 23:20 UTC (2 weeks, 6 days ago) · 10 languages

525 findings (55 legacy + 470 scanner) 0th percentile · Typescript · large (100-500K LoC) Scanner says 53 (lower by 6)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 52 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
47.1
/100
Repobility
41
52 legacy
9-layer
53
100.0% cov · 0 gaps
Critical
5
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5 calibration-aware
Component Sub-score Weight Contribution
structure_score 40.0 0.15 6.00
security_score 36.9 0.25 9.22
testing_score 16.0 0.20 3.20
documentation_score 75.0 0.15 11.25
practices_score 75.0 0.15 11.25
code_quality 60.0 0.10 6.00
Overall 1.00 46.9
Calibrated penalty buckets (security_score): authz: 1.2 · docker: 73.9 · threat: 12.0 · journey: 39.6
Severity distribution — click a segment to filter
Active filters: layer: software × excluding tests × Reset all
Severity: Critical 5 High 29 Medium 13 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 52 9-layer 0 Crowd 0 Layer: Security 9 Cicd 28 Quality 15
Scan summary Repository scanned at 52.9/100 with 100.0% coverage. It contains 7291 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 0 findings. Risk profile is low: 0 critical, 0 high, 0 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

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