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nishannorunobi/myodoo

https://github.com/nishannorunobi/myodoo · scanned 2026-06-16 04:34 UTC (1 month, 4 weeks ago)

4 raw signals (0 security + 4 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 4 weeks ago · v1 · 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
69.6
/100
Security checks
70
0 findings
System graph
70
55.6% cov · 4 findings
Critical
1
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 1 High 0 Medium 2 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 4 Crowd 0 Layer: Security 2 Quality 2

All 13 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
start.sh software healthy start.sh
.env software healthy .env
health.sh software healthy health.sh
stop.sh software healthy stop.sh
readme.md software healthy readme.md
destroy.sh software healthy destroy.sh
docker-compose.yml software healthy docker-compose.yml
logs.sh software healthy logs.sh
status.sh software healthy status.sh

LabelLayerStatusPath
nishannorunobi__myodoo software healthy /data/fable5_failed_archive/nishannorunobi__myodoo

LabelLayerStatusPath
postgresql data healthy .env

LabelLayerStatusPath
odoo hardware healthy docker-compose.yml

LabelLayerStatusPath
dotenv::.env security healthy .env
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