According to AlphaMoat, as of 2026-09, Agent Browser Core 1.0.1 has 2,383 downloads and 0 stars — ranked #4,186 of 5,078 AI skills overall, and #846 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 54 | 1.8K | - | - |
| SkillHub ↗ | 213 | 2.4K | - | — |
Platforms count differently and update at different times.
Uses the agent-browser CLI for structured browser automation and web interaction.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.4K | — | - |
| 2026-08 | 2.0K | +13.9% | - |
| 2026-07 | 1.8K | +18.9% | - |
| 2026-06 | 1.5K | +9.6% | - |
| 2026-05 | 1.4K | — | - |
| 2026-03 | 830 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: agent-browser-core description: OpenClaw skill for the agent-browser CLI (Rust-based with Node.js fallback) enabling AI-friendly web automation with snapshots, refs, and structured commands. --- # Agent Browser Skill (Core) ## Purpose Provide an advanced, production-ready playbook for using agent-browser to automate web tasks via CLI and structured commands.
## Best fit - You need deterministic automation for AI agents. - You want compact snapshots with refs and JSON output. - You prefer a fast CLI with Node.js fallback. ## Not a fit - You require a full SDK or custom JS integration. - You must stream large uploads or complex media workflows. ## Quick orientation - Read `references/agent-browser-overview.md` for install, architecture, and core concepts. - Read `references/agent-browser-command-map.md` for command categories and flags. - Read `references/agent-browser-safety.md` for high-risk controls and safe mode rules. - Read `references/agent-browser-workflows.md` for recommended AI workflows. - Read `references/agent-browser-troubleshooting.md` for common issues and fixes. ## Required inputs - Installed agent-browser CLI and browser runtime. - Target URLs and workflow steps. - Session or profile strategy if authentication is required. ## Expected output - A clear command sequence and operational guardrails for automation. ## Operational notes - Snapshot early, act via refs, then snapshot again after DOM changes. - Use `--json` for machine parsing and scripting. - Use waits and load-state checks before actions. - Close tabs or sessions when done to release resources. ## Safe mode defaults - Do not use `eval`, `--allow-file-access`, custom `--executable-path`, or arbitrary `--args` without explicit approval. - Avoid `network route`, `set credentials`, and cookie/storage mutations unless the task requires it. - Allowlist domains and block localhost or private network targets. ## Security notes - Treat tokens and credentials as secrets. - Avoid `--allow-file-access` unless explicitly required.
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.