anthias-hardware

anthias-hardware is an Embedded, IoT & robotics skill for AI agents, published by Screenly in the Anthias repository on GitHub. Skillspace rates anthias-hardware D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Hard-won per-board hardware knowledge for Anthias — display stack (linuxfb/eglfs/wayland-cage), video HW-vs-SW decode per chip (Pi 2/3/4/5, x86, Rock Pi 4), the Qt6 presentation bottleneck, rotation convention, WebGL, boot splash, audio, and the Pi 2 armhf toolchain SIGBUS. Read before touching viewer rendering, codec, rotation, display-power, or Qt build code.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
3,669

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 GitHubScreenly/Anthias

Our review

Architecture
97 / 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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