Scan timing: clone 1.59s · analysis 51.53s · 4.1 MB · GitHub API rate-limit (preflight)
https://github.com/D4Vinci/Scrapling
· scanned 2026-06-04 04:11 UTC (1 day, 6 hours ago)
· 10 languages
265 findings (131 legacy + 134 scanner) 76th percentile · Python · medium (20-100K LoC) Scanner says 85 (lower by 8)
Last scanned 1 day, 6 hours ago · v2 · 198 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
| Component | Sub-score | Weight | Contribution |
|---|---|---|---|
structure_score |
75.0 | 0.15 | 11.25 |
security_score |
49.7 | 0.25 | 12.43 |
testing_score |
97.0 | 0.20 | 19.40 |
documentation_score |
96.0 | 0.15 | 14.40 |
practices_score |
99.0 | 0.15 | 14.85 |
code_quality |
46.9 | 0.10 | 4.69 |
| Overall | 1.00 | 77.0 |
Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.
.bandit.yml:7.github/workflows/release-and-publish.yml:49.github/workflows/release-and-publish.yml:74.github/workflows/release-and-publish.yml.github/workflows/docker-build.yml:31.github/workflows/docker-build.yml:36.github/workflows/docker-build.yml:43.github/workflows/docker-build.yml:51.github/workflows/docker-build.yml:73Click "Find this gap" on any action above to jump to it on the Findings tab. Adjust the chip bar to filter by impact (severity), layer, or source.
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