Scan timing: clone 2.89s · analysis 16.71s · 12.3 MB · GitHub API rate-limit (preflight)
https://github.com/agentforce314/clawcodex
· scanned 2026-05-31 01:23 UTC (5 days, 9 hours ago)
· 10 languages
597 findings (163 legacy + 434 scanner) 57th percentile · Python · large (100-500K LoC) Scanner says 93 (lower by 18)
Last scanned 5 days, 9 hours ago · v2 · last Δ +1.1 (diff) · 415 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 |
85.0 | 0.15 | 12.75 |
security_score |
70.0 | 0.25 | 17.50 |
testing_score |
100.0 | 0.20 | 20.00 |
documentation_score |
100.0 | 0.15 | 15.00 |
practices_score |
44.0 | 0.15 | 6.60 |
code_quality |
38.1 | 0.10 | 3.81 |
| Overall | 1.00 | 75.7 |
Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.
src/providers/deepseek_provider.py:56src/providers/openai_provider.py:43src/providers/openrouter_provider.py:65scripts/audit/query_engine.py:134scripts/audit/commands.py:51scripts/audit/tools.py:45Click "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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