on-device-ai
on-device-ai is a Cross-platform mobile skill for AI agents, published by bidah in the react-native-hifi repository on GitHub. Skillspace rates on-device-ai D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Integrate on-device AI into React Native apps using React Native ExecuTorch, which provides APIs for LLMs, computer vision, OCR, audio processing, and embeddings without cloud dependencies, as well as a variety of pre-exported models for common use cases. Use when user asks to build AI features into mobile apps - AI chatbots, image classification, object detection, style transfer, OCR, document parsing, speech processing, or semantic search - all running locally without cloud dependencies. Use when user mentions offline support, privacy, latency or cost concerns in AI-based applications.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 27
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 83 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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