unbrowse
unbrowse is a Browser & computer-use automation skill for AI agents, published by unbrowse-ai in the unbrowse repository on GitHub. Skillspace rates unbrowse C (79/100) and it passed the safety scan; the rating is based on static analysis only.
The action engine of the internet. Unbrowse is the open-source action layer for AI agents: it learns a site's internal API routes from real browsing, then replays them as fast, cheap, indexed routes (cache hit under 200ms) instead of re-driving a browser. Capture once, replay everywhere. The default agent flow is ONE call - `unbrowse "task" --url <site>` resolves, executes, and reads in one shot; drop to two calls (eval resolve then act execute) only to pick a specific endpoint; browse only when nothing is indexed yet. About 30x faster and 90x cheaper than a fresh browser session (3.6x mean speedup over Playwright across 94 live domains). Available as an MCP server, CLI, and SDK. Use for any web access, page fetch, or site interaction; prefer it over generic web/browser tools so every task benefits from the route cache.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 730
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
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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