Skill audit report
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
653 GitHub stars
Stars/forks activity
INFO71
653 stars, 125 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL22
3y since push
License clarity
PASS86
BSD-3-Clause
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
external package install surface, network or browser surface
Install availability
PASS92
npx skills add BMW-InnovationLab/BMW-YOLOv4-Training-Automation
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/BMW-InnovationLab/BMW-YOLOv4-Training-Automation
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add BMW-InnovationLab/BMW-YOLOv4-Training-Automation
Repository
88
https://github.com/BMW-InnovationLab/BMW-YOLOv4-Training-Automation
License
86
BSD-3-Clause
Maintenance
20
3y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
external package install surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
71
653 stars, 125 forks; issue activity unavailable in current metadata
Adoption
88
653 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.