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Scan timing: clone 1.5s · analysis 0.05s · GitHub preflight 454ms

muralincse-source/Human-Gait-Recognition-System-using-Data-Analytics-Visualization

https://github.com/muralincse-source/Human-Gait-Recognition-System-using-Data-Analytics-Visualization.git · scanned 2026-05-29 08:07 UTC (2 weeks, 1 day ago) · 10 languages

14 raw signals (2 security + 12 graph) 58th percentile · Python · tiny (<2K LoC) System graph score 79 (lower by 8)

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Complete repo analysis

Last scanned 2 weeks, 1 day ago · v2 · 8 actionable findings from 2 signal sources. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
72.7
/100
Security checks
67
2 findings
System graph
79
66.7% cov · 6 findings
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 30.0 0.15 4.50
security_score 100.0 0.25 25.00
testing_score 70.0 0.20 14.00
documentation_score 55.0 0.15 8.25
practices_score 70.0 0.15 10.50
code_quality 80.0 0.10 8.00
Overall 1.00 70.2
Severity distribution — click a segment to filter
Active filters: source: crowd × excluding tests × Reset all
Severity: Critical 0 High 0 Medium 4 Low 2 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 2 System graph 6 Crowd 0 Layer: Quality 3 Software 1 Api 1 Frontend 1 Security 1 Cicd 1
Scan summary Quality grade B (70/100). Dimensions: security 100, maintainability 30. 2 findings. 98 lines analyzed.

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