kylecorry31/Trail-Sense

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https://github.com/kylecorry31/Trail-Sense · scanned 2026-06-05 17:11 UTC (4 days, 23 hours ago) · 10 languages

185 raw signals (83 security + 102 graph) 11/13 scanners ran 0th percentile · Kotlin · large (100-500K LoC) System graph score 74 (lower by 4)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 4 days, 23 hours ago · v2 · 66 actionable findings from 2 signal sources. 68 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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88.9% cov · 26 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	65.0	0.15	9.75
`security_score`	100.0	0.25	25.00
`testing_score`	17.0	0.20	3.40
`documentation_score`	77.0	0.15	11.55
`practices_score`	81.0	0.15	12.15
`code_quality`	79.0	0.10	7.90
Overall		1.00	69.8

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 1 High 10 Medium 13 Low 15 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 40 System graph 26 Crowd 0 Layer: Quality 39 Software 13 Cicd 4 Security 8 Api 1 Frontend 1

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 2 findings

What it is: Same function copy-pasted into multiple modules with minor variations.

Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.

How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.

Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.

2 matching findings on this repo

low Near-duplicate function bodies in 2 places
low Near-duplicate function bodies in 10 places repo-level

View all duplicates & near-duplicates findings →

Commented-out code 3 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

3 matching findings on this repo

info Commented-code block (5 lines) in scripts/update-guide.py:118
info Commented-code block (11 lines) in scripts/experiments/clouds.py:59
info Commented-code block (7 lines) in scripts/experiments/weather.py:110

View all commented-out code findings →

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