browser-automation

browser-automation is a Browser & computer-use automation skill for AI agents, published by Zaoqu-Liu in the ScienceClaw repository on GitHub. Skillspace rates browser-automation F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Browser automation for accessing scientific databases that lack REST APIs. Uses the browser-use Python framework (81k+ GitHub stars) to control a real browser via LLM vision. Enables data extraction from web-only databases like GEPIA2, GeneCards advanced features, COSMIC public data, and journal full-text access. Use as a fallback when curl-based API access fails or when the target database has no programmatic API. Requires pip install browser-use and a Chromium browser.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
56

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.

View source on GitHubZaoqu-Liu/ScienceClaw

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • references sensitive credential env
  • 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

Better-rated skills in Browser & computer-use automation

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