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39 of your 60 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Upstream (GitHub) caused delay on this scan — not Repobility.

GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
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2026-yarr-robotics/ros2-depth-point-cloude

https://github.com/2026-yarr-robotics/ros2-depth-point-cloude · scanned 2026-06-16 02:50 UTC (2 months, 1 week ago) · 10 languages

166 raw signals (55 security + 111 graph) 82nd percentile · Python · small (2-20K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v7 · 22 actionable findings from 2 signal sources. 36 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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44.4% cov · 3 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	80.0	0.15	12.00
`security_score`	100.0	0.25	25.00
`testing_score`	32.0	0.20	6.40
`documentation_score`	64.0	0.15	9.60
`practices_score`	40.0	0.15	6.00
`code_quality`	45.0	0.10	4.50
Overall		1.00	63.5

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: layer: data × excluding tests × Reset all

Severity: Critical 2 High 1 Medium 1 Low 8 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 19 System graph 3 Crowd 0 Layer: Quality 17 Security 3 Frontend 1 Cicd 1

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Scan summary Repository scanned at 88.1/100 with 44.4% coverage. It contains 1 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 3 findings — concentrated in quality (1), frontend (1), cicd (1). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 0 of 22 actionable findings. 58 raw detector signals were grouped into reader-sized issues. 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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