https://github.com/Shubhamsaboo/awesome-llm-apps
· scanned 2026-06-05 05:31 UTC (4 hours, 29 minutes ago)
· 10 languages
1041 findings (339 legacy + 702 scanner) 11/13 scanners ran 18th percentile · Python · large (100-500K LoC) Scanner says 46 (higher by 15)
Last scanned 4 hours, 29 minutes ago · v2 · 690 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 |
100.0 | 0.25 | 25.00 |
testing_score |
17.0 | 0.20 | 3.40 |
documentation_score |
76.0 | 0.15 | 11.40 |
practices_score |
65.0 | 0.15 | 9.75 |
code_quality |
55.0 | 0.10 | 5.50 |
| Overall | 1.00 | 61.0 |
Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.
advanced_ai_agents/multi_agent_apps/ai_news_and_p…:127
advanced_ai_agents/multi_agent_apps/ai_news_and_p…:47
advanced_ai_agents/single_agent_apps/windows_use_…:15
advanced_ai_agents/single_agent_apps/windows_use_…:37
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:522
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:462
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:386
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:238
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:255
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:219
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:188
rag_tutorials/deepseek_local_rag_agent/deepseek_r…:161
advanced_ai_agents/multi_agent_apps/ai_news_and_p…:95
advanced_ai_agents/multi_agent_apps/ai_news_and_p…:83
advanced_ai_agents/multi_agent_apps/ai_news_and_p…:71
advanced_ai_agents/multi_agent_apps/ai_news_and_p…:56
advanced_ai_agents/multi_agent_apps/ai_news_and_p…:35
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