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AhmedOsama099/tab5enha-sawa

https://github.com/AhmedOsama099/tab5enha-sawa · scanned 2026-06-17 01:13 UTC (1 month, 2 weeks ago)

14 raw signals (0 security + 14 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -5.1 (diff) · 13 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Active filters: severity: low × excluding tests × Reset all
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Scan summary Repository scanned at 71.6/100 with 88.9% coverage. It contains 844 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 14 findings — concentrated in quality (8), frontend (3), security (2). Risk profile is high: 2 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 13 actionable findings. 14 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.

low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 10 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.
CleanupRepo hardeningGenerated repo pattern
low System graph quality Tests conf 1.00 Low test-to-source ratio
31 tests / 189 src (ratio 0.16).
low System graph quality Agent instructions conf 1.00 Multiple root agent instruction files without precedence
The repo has multiple top-level AI-coder instruction files. Without precedence rules, different agents may follow different policies.
Governance
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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