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allmonday/pydantic-resolve

https://github.com/allmonday/pydantic-resolve · scanned 2026-05-14 22:54 UTC (3 weeks ago) · 10 languages

95 findings (14 legacy + 81 scanner) 92nd percentile · Python · medium (20-100K LoC) Scanner says 78 (higher by 6)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 14 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
81.2
/100
Repobility
84
14 legacy
9-layer
78
88.9% 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 75.0 0.15 11.25
security_score 94.2 0.25 23.55
testing_score 100.0 0.20 20.00
documentation_score 86.0 0.15 12.90
practices_score 65.0 0.15 9.75
code_quality 67.5 0.10 6.75
Overall 1.00 84.2
Calibrated penalty buckets (security_score): web: 1.6 · agent: 2.2 · authz: 2.1
Severity distribution — click a segment to filter
Active filters: source: scanner × excluding tests × Reset all
Severity: Critical 0 High 8 Medium 6 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 14 9-layer 0 Crowd 0 Layer: Quality 12 Security 2
Scan summary Repository scanned at 77.9/100 with 88.9% coverage. It contains 3202 nodes across 11 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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