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vskstudio/Emerald

https://github.com/vskstudio/Emerald · scanned 2026-06-16 00:53 UTC (2 months, 1 week ago)

9 raw signals (0 security + 9 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 9 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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Severity distribution — click a segment to filter
Active filters: layer: quality × excluding tests × Reset all
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Scan summary Repository scanned at 86.7/100 with 55.6% coverage. It contains 29 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 9 findings — concentrated in quality (4), frontend (2), security (2). Risk profile is low: 0 critical, 0 high, 4 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 3 of 9 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 Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 4 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
low System graph quality Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: ci, tests. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.
Repo hardeningGenerated repo pattern
low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence
The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.
Git historyGenerated repo pattern
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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