github/gh-aw

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74 of your 164 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.
Clone from GitHub took 278.09s for a 326.4 MB repo slow.
Repobility's analysis ran in 26.66s after the clone landed.

https://github.com/github/gh-aw · scanned 2026-06-05 14:43 UTC (5 days, 4 hours ago) · 10 languages

143 findings 11/13 scanners ran 100th percentile · Go · huge (>500K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

55 actionable findings from 1 signal source. 88 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	85.0	0.15	12.75
`security_score`	100.0	0.25	25.00
`testing_score`	85.0	0.20	17.00
`documentation_score`	97.0	0.15	14.55
`practices_score`	100.0	0.15	15.00
`code_quality`	68.0	0.10	6.80
Overall		1.00	91.1

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

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 2 High 12 Medium 8 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 55 System graph 0 Crowd 0 Layer: Software 11 Security 4 Cicd 7 Quality 33

Exclude dismissed / FP Exclude test files

All 0 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

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