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petroza/AI_Premiere_CUT

https://github.com/petroza/AI_Premiere_CUT · scanned 2026-06-16 04:35 UTC (1 month, 3 weeks ago)

1 raw signals (0 security + 1 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 3 weeks ago · v1 · 1 actionable finding from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
90.3
/100
Security checks
90
0 findings
System graph
90
44.4% cov · 1 findings
Critical
0
click to filter
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 0 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 1 Crowd 0 Layer: Security 1

All 16 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
stamp software healthy run_server_with_log.py:27
now_iso software healthy run_server_with_log.py:31
write_both software healthy run_server_with_log.py:35
_is_free software healthy run_server_with_log.py:46
choose_port software healthy run_server_with_log.py:56
write_runtime_port software healthy run_server_with_log.py:79
main software healthy run_server_with_log.py:107

LabelLayerStatusPath
requirements.txt software healthy requirements.txt
README.md software healthy README.md
SECURITY.md software healthy SECURITY.md
LICENSE software healthy LICENSE
run_server_with_log.py software healthy run_server_with_log.py

LabelLayerStatusPath
4.10.0.84 network healthy requirements.txt
127.0.0.1 network healthy run_server_with_log.py

LabelLayerStatusPath
petroza__AI_Premiere_CUT software healthy /data/fable5_failed_archive/petroza__AI_Premiere_CUT

LabelLayerStatusPath
gpu (detected) hardware healthy requirements.txt
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