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JGinglass/lacosdibia

https://github.com/JGinglass/lacosdibia · scanned 2026-06-16 04:29 UTC (2 months ago)

5 raw signals (0 security + 5 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 5 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
72.0
/100
Security checks
72
0 findings
System graph
72
44.4% cov · 5 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 2 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 5 Crowd 0 Layer: Hardware 2 Quality 3

All 10 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
docker-compose.yml software healthy docker-compose.yml
index.html software healthy index.html
Dockerfile software healthy Dockerfile

LabelLayerStatusPath
traefik network healthy docker-compose.yml
loadbalancer network healthy docker-compose.yml
nginx network healthy Dockerfile

LabelLayerStatusPath
image::Dockerfile hardware healthy Dockerfile
lacosdibia hardware healthy docker-compose.yml

LabelLayerStatusPath
JGinglass__lacosdibia software healthy /data/fable5_failed_archive/JGinglass__lacosdibia

LabelLayerStatusPath
port:80 network healthy docker-compose.yml
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