by steerlabs · Agent Tool · ★ 203
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 203 |
| Forks | 25 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 22 |
| Last Updated | 2026-08-01 |
| Created | 2026-02-12 |
| Platforms | browser, python |
| Est. Tokens | ~14k |
Opensteer Opensteer helps AI agents control browsers and use local code as tools. It gives agents a small Python command surface for local Chrome or Edge, Opensteer Cloud browsers, and project-specific automation. Opensteer handles the browser plumbing: CDP, local and cloud attach, named sessions, screenshots, JavaScript, clicks, typing, scrolling, tabs, and reusable interaction skills.
Looking for a opensteer alternative? If you're comparing opensteer with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Let Claude Code and other coding agents drive and debug Chrome from the shell. DOM, network, console and raw C
CLI, MCP server, and npm library that turns any website into an API — no docs, no SDK, no browser.
Browser automation plugin for OpenCode AI editor - Control Chrome/Edge with AI, automate web testing, scraping
Anti-detection browser MCP server for AI agents — navigate, interact, and automate the web without getting blo
Official Agent skills of Oxylabs products
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: