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Akibalogh/audio-cleanup

https://github.com/Akibalogh/audio-cleanup · scanned 2026-06-17 01:13 UTC (1 month, 2 weeks ago)

4 raw signals (0 security + 4 graph)

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Complete repo analysis

Last scanned 1 month, 2 weeks ago · v2 · last Δ -17.6 (diff) · 4 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
59.1
/100
Security checks
59
0 findings
System graph
59
22.2% cov · 4 findings
Critical
0
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Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 0 Medium 1 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 4 Crowd 0 Layer: Quality 4

All 11 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
detect_events software healthy clean_audio.py:31
save_events_csv software healthy clean_audio.py:81
load_events_csv software healthy clean_audio.py:89
remove_events software healthy clean_audio.py:100
repair_events software healthy clean_audio.py:148
split_tracks software healthy clean_audio.py:243
main software healthy clean_audio.py:344

LabelLayerStatusPath
clean_audio.py software healthy clean_audio.py
requirements.txt software healthy requirements.txt
README.md software healthy README.md

LabelLayerStatusPath
Akibalogh__audio-cleanup software healthy /data/fable5_failed_archive/Akibalogh__audio-cleanup
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