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a1f/pi-dev

https://github.com/a1f/pi-dev · scanned 2026-06-17 01:27 UTC (1 month, 2 weeks ago)

2 raw signals (0 security + 2 graph)

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Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -2.1 (diff) · 2 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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55.6% cov · 2 findings

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Severity: Critical 0 High 1 Medium 1 Low 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 2 Crowd 0 Layer: Security 1 Quality 1

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Scan summary Repository scanned at 74.6/100 with 55.6% coverage. It contains 109 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 2 findings — concentrated in security (1), quality (1). Risk profile is high: 0 critical, 1 high, 1 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 1 of 2 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data

A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.

Mock dataCritical flowGenerated repo pattern

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