flutter-gemma-onnx
flutter-gemma-onnx is an LLM app frameworks & APIs skill for AI agents, published by DenisovAV in the flutter_gemma repository on GitHub. Skillspace rates flutter-gemma-onnx D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when running ONNX models with flutter_gemma_onnx (ModelFileType.onnx) — ORT-GenAI text generation (e.g. Phi-3.5-mini) or ONNX embeddings — on macOS arm64, Linux x64, Windows x64, Android arm64, iOS arm64, or in the browser through Transformers.js. Also use when an ONNX install is routed to the wrong engine, genai_config.json is missing, or getActiveModel throws "No inference engine can handle this model" on another platform. For .litertlm models use flutter-gemma-inference; for .task, flutter-gemma-mediapipe.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 621
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.