Skill audit report
Use when operating Ultralytics Platform from a terminal or script with the ul cloud CLI (ul cloud RESOURCE OPERATION key=value, PyPI package ultralytics-platform) — listing, creating, updating, cloning, or moving projects, datasets, and models; inspecting dataset images, statistics, metadata, duplicates, and similar images; starting and monitoring cloud training runs; per-image model validation analysis; downloading weights; exports, deployments, uploads, trash and restore, storage integrations, and account usage, storage, and billing; and building Agents (YOLO, LLM, gate, and alert workflows). For the Platform web UI or local yolo commands, see yolo; for choosing what to train and how to improve it, see yolo-training and yolo-tuning.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
28 GitHub stars
Stars/forks activity
WARN43
28 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
AGPL-3.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL28
command execution surface, credential or environment access
Install availability
PASS92
npx skills add ultralytics/skills --skill platform-cli
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/ultralytics/skills/tree/main/skills/platform-cli
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add ultralytics/skills --skill platform-cli
Repository
88
https://github.com/ultralytics/skills/tree/main/skills/platform-cli
License
86
AGPL-3.0
Maintenance
100
Pushed today
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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.
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Usable description available
Dependency risk
28
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
43
28 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
28 GitHub stars
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.