qa-team

qa-team is an End-to-end & browser testing skill for AI agents, published by rysweet in the amplihack repository on GitHub. Skillspace rates qa-team F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

QA team for outside-in validation, side-by-side parity loops, and A/B behavioral comparison. Use when you need behavior-driven tests, legacy-vs-new comparison, or rollout shadow validation. Creates executable scenarios and parity workflows that agents can observe, compare, and iterate on. Supports local, observable tmux, remote SSH, and shadow-mode divergence logging patterns.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
68

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.

Our review

Architecture
63 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • dynamic code execution (eval/exec)
  • mentions secrets in text

Not checked 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.