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Scan timing: clone 13.24s · analysis 10.88s · 27.8 MB · GitHub API rate-limit (preflight)

ArcReel/ArcReel

https://github.com/ArcReel/ArcReel · scanned 2026-05-31 01:24 UTC (5 days, 13 hours ago) · 10 languages

1042 findings (253 legacy + 789 scanner) 11/13 scanners ran 97th percentile · Python · large (100-500K LoC) Scanner says 54 (higher by 38)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 hours ago · v2 · last Δ +0.1 (diff) · 663 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
73.6
/100
Repobility
93
253 legacy
9-layer
55
100.0% cov · 410 gaps
Critical
5
click to filter
Agents
6
0 votes
Crowd
0
reported
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 100.0 0.20 20.00
documentation_score 100.0 0.15 15.00
practices_score 94.0 0.15 14.10
code_quality 60.0 0.10 6.00
Overall 1.00 92.8
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: search: "fragile-runtime" × excluding tests × Reset all
Severity: Critical 5 High 330 Medium 42 Low 195 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 253 9-layer 410 Crowd 0 Layer: Quality 270 Security 93 Cicd 28 Software 102 Frontend 35 Hardware 4 Api 131
Scan summary Repository scanned at 54.5/100 with 100.0% coverage. It contains 8927 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 410 findings — concentrated in api (131), quality (106), software (67). Risk profile is high: 2 critical, 130 high, 30 medium. Recommended next step: open the api layer findings first — that's where the highest-impact wins live.

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