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jimmycuong1412/ai_materials_factory

https://github.com/jimmycuong1412/ai_materials_factory · scanned 2026-06-16 04:29 UTC (2 months ago)

5 raw signals (0 security + 5 graph)

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.

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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
.env.example software healthy .env.example
materials-prompt.md software healthy materials-prompt.md
requirements.txt software healthy requirements.txt
README.md software healthy README.md
docker-compose.yml software healthy docker-compose.yml
BUILD_PROMPT.md software healthy BUILD_PROMPT.md
Dockerfile software healthy Dockerfile

LabelLayerStatusPath
image::Dockerfile hardware healthy Dockerfile
redis hardware healthy docker-compose.yml
worker hardware healthy docker-compose.yml
beat hardware healthy docker-compose.yml

LabelLayerStatusPath
redis data healthy .env.example
sqlite data healthy .env.example

LabelLayerStatusPath
jimmycuong1412__ai_materials_factory software healthy /data/fable5_failed_archive/jimmycuong1412__ai_materials_fa…

LabelLayerStatusPath
celery data healthy .env.example

LabelLayerStatusPath
port:6379 network healthy docker-compose.yml
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