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AnassNadeem/BoxBox

https://github.com/AnassNadeem/BoxBox · scanned 2026-06-17 01:15 UTC (1 month, 2 weeks ago)

17 raw signals (0 security + 17 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -10.3 (diff) · 13 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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Severity distribution — click a segment to filter
Active filters: severity: low × excluding tests × Reset all
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Scan summary Repository scanned at 66.4/100 with 33.3% coverage. It contains 252 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 17 findings — concentrated in quality (14), security (2), software (1). Risk profile is low: 0 critical, 0 high, 4 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 8 of 13 actionable findings. 17 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 Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: license, ci. 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 Debug conf 1.00 Debug logging residue appears in source files
Found 20 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 Integrity conf 1.00 5 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: scripts/run_consistency_probe.py:main, scripts/run_benchmark.py:main This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why they're separate.
5 occurrences
repo-level (5 hits)
duplicatesduplication
low System graph quality License conf 1.00 No license file detected
No LICENSE/COPYING/NOTICE file was found. Generated repositories often omit licensing, which blocks reuse and automated intake.
Repo hardeningGenerated repo pattern
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `model_copy` in src/boxbox/extract/decision_points.py:81
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `model_copy` in src/boxbox/live/replay.py:47
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `smoke_test_v2` in scripts/smoke_test.py:10
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph software Dead code conf 1.00 Possibly dead Python function: load_decision_points
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/boxbox/dataset.py:42
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