testbed-qa

testbed-qa is an Integration & environment testing skill for AI agents, published by Screenly in the Anthias repository on GitHub. Skillspace rates testbed-qa D (62/100) and it passed the safety scan; the rating is based on static analysis only.

How to validate Anthias changes on the physical hardware testbeds — the /tmp/used-by lockfile protocol, deploying images (plain docker-compose, not balena), the pure-Python overlay method, force-display on headless eglfs, running a pre-release burn-in/soak, and per-board memory/hardware quirks. Use when testing a viewer/server/webview change on real Pi / x86 / Rock Pi 4 hardware, and whenever a release burn-in or soak is requested (pair it with cut-release).

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
96 / 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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