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EKKOLearnAI/hermes-web-ui

https://github.com/EKKOLearnAI/hermes-web-ui.git · scanned 2026-05-16 01:47 UTC (2 weeks, 6 days ago) · 10 languages

242 findings (51 legacy + 191 scanner) 44th percentile · Typescript · medium (20-100K LoC) Scanner says 54 (higher by 15)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 40 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
58.8
/100
Repobility
63
40 legacy
9-layer
55
100.0% cov · 0 gaps
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 59.4 0.25 14.85
testing_score 95.0 0.20 19.00
documentation_score 73.7 0.15 11.05
practices_score 75.0 0.15 11.25
code_quality 45.2 0.10 4.52
Overall 1.00 69.7
Calibrated penalty buckets (security_score): web: 3.0 · agent: 4.8 · authz: 1.2 · docker: 6.0 · threat: 24.5 · journey: 1.2
Severity distribution — click a segment to filter
Active filters: search: "fragile-runtime" × excluding tests × Reset all
Severity: Critical 0 High 22 Medium 8 Low 8 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 40 9-layer 0 Crowd 0 Layer: Quality 26 Security 9 Cicd 5
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Scan summary Repository scanned at 54.5/100 with 100.0% coverage. It contains 2211 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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