Scan timing: clone 4.94s · analysis 0.02s · 6.4 MB · GitHub API rate-limit (preflight)
https://github.com/HariPrasad-NS/NLP-and-Time-Series-Forecasting-for-Sales-Prediction.git
· scanned 2026-05-29 07:26 UTC (1 week ago)
· 10 languages
14 findings (2 legacy + 12 scanner) 20th percentile · Unknown · Scanner says 85 (lower by 20)
Last scanned 1 week ago · v3 · 6 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 |
30.0 | 0.15 | 4.50 |
security_score |
100.0 | 0.25 | 25.00 |
testing_score |
70.0 | 0.20 | 14.00 |
documentation_score |
20.0 | 0.15 | 3.00 |
practices_score |
70.0 | 0.15 | 10.50 |
code_quality |
80.0 | 0.10 | 8.00 |
| Overall | 1.00 | 65.0 |
All 2 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.
| Label | Layer | Status | Path |
|---|---|---|---|
repobility-clone-nrs8xr8o |
software | healthy | /tmp/repobility-clone-nrs8xr8o |
| Label | Layer | Status | Path |
|---|---|---|---|
README.md |
software | healthy | README.md |
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