Scan timing: clone 18.0s · analysis 105.19s · 24.4 MB · GitHub API rate-limit (preflight)
https://github.com/Open-LLM-VTuber/Open-LLM-VTuber
· scanned 2026-06-04 03:23 UTC (1 day, 14 hours ago)
· 10 languages
463 findings (287 legacy + 176 scanner) 13th percentile · Python · small (2-20K LoC) Scanner says 81 (lower by 35)
Last scanned 1 day, 14 hours ago · v2 · 375 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 |
100.0 | 0.15 | 15.00 |
security_score |
0.0 | 0.25 | 0.00 |
testing_score |
0.0 | 0.20 | 0.00 |
documentation_score |
95.0 | 0.15 | 14.25 |
practices_score |
78.0 | 0.15 | 11.70 |
code_quality |
57.4 | 0.10 | 5.74 |
| Overall | 1.00 | 46.7 |
Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.
src/open_llm_vtuber/routes.py:141upgrade_codes/upgrade_core/upgrade_utils.py:22src/open_llm_vtuber/utils/install_utils.py:116.github/workflows/update-requirements.yml:19.github/workflows/update-requirements.yml:25.github/workflows/update-requirements.yml.github/workflows/codeql.yml:62.github/workflows/codeql.yml:90.github/workflows/docker-blacksmith.yml:54Click "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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