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CommandCodeAI/BaseAI

https://github.com/CommandCodeAI/BaseAI.git · scanned 2026-05-17 01:20 UTC (3 weeks, 2 days ago) · 10 languages

466 raw signals (34 security + 432 graph) 24th percentile · Typescript · medium (20-100K LoC) System graph score 77 (lower by 17)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks, 2 days ago · v3 · 3 actionable findings from 1 signal source. 31 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
75.2
/100
Security checks
73
3 findings
System graph
77
88.9% cov · 0 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 100.0 0.25 25.00
testing_score 1.0 0.20 0.20
documentation_score 75.0 0.15 11.25
practices_score 55.0 0.15 8.25
code_quality 60.0 0.10 6.00
Overall 1.00 59.7
Severity distribution — click a segment to filter
Active filters: layer: software × excluding tests × Reset all
Severity: Critical 0 High 0 Medium 0 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 3 System graph 0 Crowd 0 Layer: Quality 2 Software 1
Scan summary Quality grade C (60/100). Dimensions: security 100, maintainability 60. 34 findings. 35,389 lines analyzed.

Showing 0 of 3 actionable findings. 34 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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