flutter-gemma-mediapipe

flutter-gemma-mediapipe is a Cross-platform mobile skill for AI agents, published by DenisovAV in the flutter_gemma repository on GitHub. Skillspace rates flutter-gemma-mediapipe D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Use when running .task or .bin models (MediaPipe GenAI, ModelFileType.task or ModelFileType.binary) with flutter_gemma_mediapipe on Android, iOS or web. Also use when CocoaPods rejects the iOS platform version, images are ignored in a MediaPipe chat, or maxOutputTokens has no effect. MediaPipe has no macOS, Windows or Linux support — use a .litertlm model there (flutter-gemma-inference).

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
621

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubDenisovAV/flutter_gemma

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

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

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