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Scan timing: clone 1.65s · analysis 0.45s · 0.5 MB · GitHub preflight 510ms

wchl3927/vi-pro-pipeline

https://github.com/wchl3927/vi-pro-pipeline.git · scanned 2026-05-28 23:09 UTC (1 week ago) · 10 languages

70 findings (34 legacy + 36 scanner) 1st percentile · Python · small (2-20K LoC) Scanner says 73 (lower by 33)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v2 · 52 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 30.0 0.15 4.50
security_score 100.0 0.25 25.00
testing_score 0.0 0.20 0.00
documentation_score 0.0 0.15 0.00
practices_score 55.0 0.15 8.25
code_quality 25.0 0.10 2.50
Overall 1.00 40.2
Severity distribution — click a segment to filter
Active filters: layer: security × excluding tests × Reset all
Scan summary Repository scanned at 73.0/100 with 77.8% coverage. It contains 126 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 18 findings — concentrated in quality (7), cicd (4), software (3). Risk profile is high: 2 critical, 0 high, 3 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 2 of 52 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

critical 9-layer security secrets conf 1.00 Possible secret in calculate_crypto.py
Detected pattern matching generic_api_key. Rotate the credential and move to a secret manager.
calculate_crypto.py:13 secrets
critical 9-layer security secrets conf 1.00 Possible secret in calculate_stocks.py
Detected pattern matching generic_api_key. Rotate the credential and move to a secret manager.
calculate_stocks.py:485 secrets
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