frappe/erpnext

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75 of your 95 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

https://github.com/frappe/erpnext.git · scanned 2026-05-20 01:10 UTC (2 weeks, 2 days ago) · 10 languages

932 findings (95 legacy + 837 scanner) 11/13 scanners ran 62nd percentile · Python · medium (20-100K LoC) Scanner says 71 (lower by 3)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 2 days ago · v3 · 374 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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100.0% cov · 279 gaps

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	100.0	0.25	25.00
`testing_score`	40.0	0.20	8.00
`documentation_score`	63.0	0.15	9.45
`practices_score`	64.0	0.15	9.60
`code_quality`	69.0	0.10	6.90
Overall		1.00	68.0

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: search: "legacy-markers" × excluding tests × Reset all

Severity: Critical 1 High 66 Medium 20 Low 244 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 95 9-layer 279 Crowd 0 Layer: Quality 207 Security 11 Software 94 Api 1 Frontend 22 Cicd 39

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 71.1/100 with 100.0% coverage. It contains 19857 nodes across 8 cross-layer flows, written primarily in mixed languages. Engine surfaced 279 findings — concentrated in quality (149), software (62), cicd (39). Risk profile is high: 0 critical, 2 high, 17 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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