browser-e2e
browser-e2e is a Browser & computer-use automation skill for AI agents, published by nikolanovoselec in the codeflare repository on GitHub. Skillspace rates browser-e2e D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Drive your own deployed app in a real browser (Cloudflare Browser Run, via the chrome-devtools server reached through the pi-mcp-adapter `mcp` proxy) and verify it by semantic judgment — navigate, interact, emulate a mobile viewport, observe what actually rendered, and decide whether it meets the acceptance criteria. A judgment-based complement to scripted CI e2e: catches "renders but looks wrong / behaves wrong" that selector assertions miss. Activates after a deploy/preview, when verifying UI behavior against intent.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 24
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- 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
- 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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