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coredipper/scriptorium

https://github.com/coredipper/scriptorium · scanned 2026-06-17 01:50 UTC (1 month, 1 week ago)

30 raw signals (0 security + 30 graph)

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Last scanned 1 month, 1 week ago · v2 · last Δ +0.1 (diff) · 26 actionable findings from 1 signal source. 4 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Scan summary Repository scanned at 76.8/100 with 66.7% coverage. It contains 550 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 30 findings — concentrated in software (15), cicd (7), quality (6). Risk profile is low: 0 critical, 0 high, 10 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 0 of 26 actionable findings. 30 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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