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teaarte/loom

https://github.com/teaarte/loom · scanned 2026-06-16 00:30 UTC (2 months, 2 weeks ago)

380 raw signals (4 security + 376 graph)

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Last scanned 2 months, 2 weeks ago · v1 · 380 actionable findings from 2 signal sources. 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 74.0/100 with 88.9% coverage. It contains 2610 nodes across 6 cross-layer flows, written primarily in mixed languages. Engine surfaced 376 findings — concentrated in quality (352), security (18), frontend (3). Risk profile is high: 0 critical, 5 high, 26 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 4 of 380 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high Security checks quality Practices conf 0.84 Foundry mined bad chains: teaarte/loom
Comment chain pattern product: bad_chains Repo: teaarte/loom Thread: teaarte/loom#3 Outcome: not_resolved_or_not_observed Thread label: thread_has_human_issue_without_fix_context Source graph label: source_backed_multi_signal_graph Reasons: source_graph_has_real_artifacts, source_graph_has_verifica…
high Security checks quality Quality conf 0.76 Foundry mined schema ui api mismatch: teaarte/loom
Graph query export: Schema, UI, and API mismatch Query id: schema_ui_api_mismatch Query type: motif_query Intent: Assumption-check examples for data-path consistency across layers. Motif: schema_ui_api_mismatch Training usage: assumption_check Graph gold label: supported_by_verification_signal Repo…
medium Security checks quality maintenance conf 0.70 Foundry mined blueprint gap alignment: teaarte/loom
Graph query export: Human feedback aligned with blueprint or architecture gaps Query id: blueprint_gap_alignment Query type: motif_query Intent: Curriculum-gap examples connecting issue threads to helicopter-view gaps. Motif: blueprint_gap_alignment Training usage: curriculum_gap Graph gold label: …
medium Security checks quality Practices conf 0.70 Foundry mined unresolved feedback: teaarte/loom
Graph query export: Human feedback without linked fix evidence Query id: unresolved_feedback Query type: motif_query Intent: Negative/unresolved examples that should not be hallucinated into fixes. Motif: unlinked_feedback_needs_evidence Training usage: negative_or_unresolved Graph gold label: need…
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