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

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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 (1 week ago) · 10 languages

14 findings (2 legacy + 12 scanner) 62nd percentile · Python · tiny (<2K LoC) Scanner says 79 (lower by 8)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v2 · 8 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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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

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Severity: Critical 0 High 0 Medium 4 Low 2 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 2 9-layer 6 Crowd 0 Layer: Quality 3 Software 1 Api 1 Frontend 1 Security 1 Cicd 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 78.7/100 with 66.7% coverage. It contains 3 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 6 findings — concentrated in software (1), api (1), frontend (1). Risk profile is low: 0 critical, 0 high, 3 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 6 of 8 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium Legacy quality practices conf 1.00 [CFG006] Missing .gitignore: No .gitignore file. Risk of committing secrets and build artifacts.

Add a .gitignore appropriate for your language/framework.

practiceslegacy

medium 9-layer security coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). Either auth lives in custom code, in a separate service, or is missing.

coverageauth

medium 9-layer cicd coverage conf 1.00 No CI/CD pipelines detected

No GitHub Actions, GitLab CI, or CircleCI configs found. Without CI you can't gate deploys on tests/lints.

coverage

medium 9-layer quality tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 1 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

testscoverage

low Legacy quality documentation No LICENSE file

Add a LICENSE file to your repository. Use choosealicense.com to pick the right license (MIT for permissive, Apache 2.0 for patent protection, GPL for copyleft).

documentationlegacy

low 9-layer software dead-code-candidate conf 1.00 File has no detected symbols: human_gait_recognition_system_using_data_analytics_&_visualization.py

Source file with no class/function declarations — possible config, dead code, or scratch file.

dead-code-candidate

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