Skill audit report
Content made entirely on NeuralDeep models (api.neuraldeep.ru), no external APIs: research, script, voice, images, speech verification, word-level subtitles, frame review, music on your own GPU. Triggers: "make a video on our models", "NDT only", "content through the hub", "without OpenRouter", "video from a brief".
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
3d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add vakovalskii/nd-video-studio --skill ndt-content
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/vakovalskii/nd-video-studio/tree/main/skills/ndt-content
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add vakovalskii/nd-video-studio --skill ndt-content
Repository
88
https://github.com/vakovalskii/nd-video-studio/tree/main/skills/ndt-content
License
86
MIT
Maintenance
100
3d since push
AI review
55
The skill relies on external services (api.neuraldeep.ru) and a self-hosted GPU box, which may introduce availability or configuration dependencies not fully covered in SKILL.md.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
32
20 stars, 1 forks; issue activity unavailable in current metadata
Adoption
42
20 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.
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