Logical-Byte/endfield-essence-recognizer

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Scan timing: clone 2.51s · analysis 14.63s · 1.6 MB · GitHub preflight 465ms

Logical-Byte/endfield-essence-recognizer

https://github.com/Logical-Byte/endfield-essence-recognizer · scanned 2026-06-05 13:12 UTC (1 week, 2 days ago) · 10 languages

399 raw signals (135 security + 264 graph) 60th percentile · Python · small (2-20K LoC) System graph score 67 (higher by 11)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 2 days ago · v2 · 206 actionable findings from 2 signal sources. 60 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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77.8% cov · 112 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	100.0	0.15	15.00
`security_score`	40.3	0.25	10.07
`testing_score`	90.0	0.20	18.00
`documentation_score`	92.0	0.15	13.80
`practices_score`	92.0	0.15	13.80
`code_quality`	76.4	0.10	7.64
Overall		1.00	78.3

Severity distribution — click a segment to filter

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Severity: Critical 0 High 81 Medium 22 Low 72 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 94 System graph 112 Crowd 0 Layer: Quality 49 Security 21 Software 75 Cicd 3 Frontend 3 Api 55

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Scan summary Quality grade B+ (78/100). Dimensions: security 40, maintainability 100. 135 findings (57 security). 9,686 lines analyzed.

Showing 0 of 206 actionable findings. 266 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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