browser-automation
browser-automation is an End-to-end & browser testing skill for AI agents, published by scottdurow in the power-platform-full-stack-skills repository on GitHub. Skillspace rates browser-automation D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Interactive browser automation and visual validation using Playwright MCP server and GitHub Copilot Agent Mode. Creates a bridge between the agent and a live browser session (including authenticated user context), with optional scripted Playwright test generation for repeatable checks. Triggers on "browser automation", "interactive browser", "playwright mcp", "test the ui", "ui test", "visual test", "visual regression", "check interface", "deployment smoke test", "post-deploy validation", "config validation".
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 29
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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