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damionrashford/RivalSearchMCP

https://github.com/damionrashford/RivalSearchMCP · scanned 2026-05-15 06:14 UTC (3 weeks ago) · 10 languages

105 findings (50 legacy + 55 scanner) 90th percentile · Python · small (2-20K LoC) Scanner says 91 (lower by 6)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 47 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
92.2
/100
Repobility
94
47 legacy
9-layer
91
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 100.0 0.15 15.00
security_score 96.3 0.25 24.07
testing_score 87.0 0.20 17.40
documentation_score 74.0 0.15 11.10
practices_score 65.0 0.15 9.75
code_quality 71.0 0.10 7.10
Overall 1.00 84.4
Calibrated penalty buckets (security_score): web: 1.6 · agent: 2.1
Severity distribution — click a segment to filter
Active filters: layer: network × excluding tests × Reset all
Severity: Critical 0 High 40 Medium 7 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 47 9-layer 0 Crowd 0 Layer: Quality 16 Security 18 Software 13
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Scan summary Repository scanned at 90.9/100 with 100.0% coverage. It contains 768 nodes across 0 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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