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confluentinc/quickstart-streaming-agents

https://github.com/confluentinc/quickstart-streaming-agents · scanned 2026-05-15 14:47 UTC (3 weeks ago) · 10 languages

46 findings (18 legacy + 28 scanner) 55th percentile · Python · small (2-20K LoC) Scanner says 82 (lower by 11)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 weeks ago · v1 · 13 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
77.6
/100
Repobility
73
13 legacy
9-layer
82
88.9% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-14-v3
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 72.4 0.25 18.10
testing_score 95.0 0.20 19.00
documentation_score 74.0 0.15 11.10
practices_score 40.0 0.15 6.00
code_quality 56.2 0.10 5.62
Overall 1.00 71.1
Severity distribution — click a segment to filter
Active filters: layer: frontend × excluding tests × Reset all
Severity: Critical 0 High 8 Medium 1 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 13 9-layer 0 Crowd 0 Layer: Quality 10 Security 3
Scan summary Repository scanned at 82.3/100 with 88.9% coverage. It contains 558 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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