Scan timing: clone 4.85s · analysis 6.22s · 10.3 MB · GitHub preflight 424ms
https://github.com/anthropics/skills
· scanned 2026-06-05 04:46 UTC (12 hours, 47 minutes ago)
· 10 languages
240 findings (96 legacy + 144 scanner) 26th percentile · Python · small (2-20K LoC) Scanner says 97 (lower by 38)
Last scanned 12 hours, 47 minutes ago · v2 · 168 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 |
40.0 | 0.15 | 6.00 |
security_score |
52.9 | 0.25 | 13.22 |
testing_score |
70.0 | 0.20 | 14.00 |
documentation_score |
62.0 | 0.15 | 9.30 |
practices_score |
70.0 | 0.15 | 10.50 |
code_quality |
60.0 | 0.10 | 6.00 |
| Overall | 1.00 | 59.0 |
Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.
skills/webapp-testing/scripts/with_server.py:71Click "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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