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touchdawn/air-paste

https://github.com/touchdawn/air-paste · scanned 2026-06-16 00:40 UTC (2 months, 1 week ago)

10 raw signals (0 security + 10 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 10 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: severity: low × excluding tests × Reset all
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Scan summary Repository scanned at 84.6/100 with 77.8% coverage. It contains 101 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 10 findings — concentrated in quality (6), security (2), frontend (1). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 3 of 10 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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
low System graph quality Complexity conf 1.00 Very large file: crates/airpaste-agent/src/lib.rs (3087 lines)
Files with >800 lines often hide complexity hotspots and discourage tests.
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