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yekedun/siradaki

https://github.com/yekedun/siradaki · scanned 2026-06-16 01:05 UTC (2 months, 1 week ago)

142 raw signals (87 security + 55 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 59 actionable findings from 2 signal sources. 226 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 61.5/100 with 88.9% coverage. It contains 1278 nodes across 23 cross-layer flows, written primarily in mixed languages. Engine surfaced 55 findings — concentrated in quality (31), frontend (11), security (7). Risk profile is high: 2 critical, 0 high, 22 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 2 of 59 actionable findings. 285 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.

critical Security checks quality Practices conf 0.82 14 occurrences Foundry mined mock as real or placeholder: yekedun/siradaki
Graph query export: Mock, sample, placeholder, or self-attested behavior treated as real Query id: mock_as_real_or_placeholder Query type: motif_query Intent: Hard negatives for fake completeness and missing real data paths. Motif: mock_as_real_or_placeholder Training usage: hard_negative Graph gol…
14 occurrences
repo-level (14 hits)
critical Security checks security auth conf 0.78 14 occurrences Foundry mined security auth guardrail gaps: yekedun/siradaki
Graph query export: Security/auth changes without enough guardrails Query id: security_auth_guardrail_gaps Query type: motif_query Intent: Assumption-check security/auth examples requiring stronger tests or CI. Motif: security_auth_without_guardrails Training usage: assumption_check Graph gold labe…
14 occurrences
repo-level (14 hits)
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