yolo-detection-2026-coral-tpu-macos

yolo-detection-2026-coral-tpu-macos is a Computer vision skill for AI agents, published by SharpAI in the DeepCamera repository on GitHub. Skillspace rates yolo-detection-2026-coral-tpu-macos B (80/100) and it passed the safety scan; the rating is based on static analysis only.

Google Coral Edge TPU — real-time object detection natively (macOS / Linux)

Grade
B
Quality
80 / 100
Safety
Passed
GitHub stars
2,908

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

Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in; it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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

View source on GitHubSharpAI/DeepCamera

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 1 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Tied to this app's specific Aegis-AI host pipeline and paths

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
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Computer vision

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