yt-dlp/yt-dlp

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149 of your 316 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 4.37s · analysis 27.96s · 12.4 MB · GitHub API rate-limit (preflight)

https://github.com/yt-dlp/yt-dlp · scanned 2026-06-04 22:00 UTC (16 hours, 28 minutes ago) · 10 languages

667 findings (295 legacy + 372 scanner) 3rd percentile · Python · large (100-500K LoC) Scanner says 79 (lower by 29)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 16 hours, 27 minutes ago · v2 · 481 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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100.0% cov · 186 gaps

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	0.0	0.25	0.00
`testing_score`	43.0	0.20	8.60
`documentation_score`	93.6	0.15	14.04
`practices_score`	91.0	0.15	13.65
`code_quality`	45.0	0.10	4.50
Overall		1.00	49.8

Severity distribution — click a segment to filter

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Severity: Critical 102 High 129 Medium 53 Low 140 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 295 9-layer 186 Crowd 0 Layer: Quality 277 Software 39 Cicd 26 Security 131 Api 1 Network 4 Hardware 2 Frontend 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 78.6/100 with 100.0% coverage. It contains 10183 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 186 findings — concentrated in quality (118), software (35), security (21). Risk profile is high: 12 critical, 1 high, 21 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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