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confluentinc/quickstart-streaming-agents

https://github.com/confluentinc/quickstart-streaming-agents · scanned 2026-05-15 14:47 UTC (2 weeks, 6 days ago) · 10 languages

46 findings (18 legacy + 28 scanner) 49th percentile · Python · small (2-20K LoC) Scanner says 82 (lower by 11)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days 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: 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.

Showing 9 of 13 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium Legacy quality error_handling conf 1.00 [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides bugs. Even in cleanup code, log at DEBUG level.
Log the error: `except Exception: logger.debug('cleanup failed', exc_info=True)`. Or handle specific exception types.
scripts/common/cloud_detection.py:73 error_handlinglegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/publish_lab3_data.py:371 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/publish_lab3_data.py:169 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/publish_lab3_data.py:135 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/publish_lab1_data.py:26 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/publish_docs.py:248 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/lab3_datagen.py:133 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/lab1_datagen.py:113 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/common/destroy.py:108 qualitylegacy
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