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cuda-python

https://github.com/NVIDIA/cuda-python.git · scanned 2026-05-17 02:50 UTC (18 hours, 32 minutes ago) · 10 languages

289 findings (6 legacy + 283 scanner) 86th percentile · Python · medium (20-100K LoC) Scanner says 93 (lower by 12)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 18 hours, 32 minutes ago · v2 · 147 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 40.0 0.15 6.00
security_score 98.0 0.25 24.50
testing_score 95.0 0.20 19.00
documentation_score 82.0 0.15 12.30
practices_score 80.0 0.15 12.00
code_quality 63.1 0.10 6.31
Overall 1.00 80.1
Calibrated penalty buckets (security_score): threat: 2.0
Severity distribution — click a segment to filter
Active filters: search: "fragile-runtime" × excluding tests × Reset all
Severity: Critical 0 High 9 Medium 15 Low 95 Source: Legacy 6 9-layer 141 Crowd 0 Layer: Security 3 Quality 80 Software 43 Api 1 Frontend 1 Cicd 19
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Scan summary Repository scanned at 92.6/100 with 88.9% coverage. It contains 3401 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 141 findings — concentrated in quality (76), software (42), cicd (19). Risk profile is high: 0 critical, 8 high, 14 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 0 of 147 findings. 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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{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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