Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/leoyeai-agent-browser
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: frontend, testing, data, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-browser
Tools it pre-approves 3
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash(npxagent-browser:*),Bash(agent-browser:*)
What's inside
- Skill name
agent-browser- Description
- Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
- License
- MIT
- Allowed tools
- Bash(npx, agent-browser:*),, Bash(agent-browser:*)
- Instructions
- 628 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves some shell commands
Agent Skills spec issues
- name: "agent-browser" does not match folder "agent-browser-5"
- body: 628 lines (spec recommends under 500)
Files (12)
- SKILL.md
- _meta.json
- authentication.md · references/
- commands.md · references/
- profiling.md · references/
- proxy-support.md · references/
- session-management.md · references/
- snapshot-refs.md · references/
- video-recording.md · references/
- authenticated-session.sh · templates/
- capture-workflow.sh · templates/
- form-automation.sh · templates/
SKILL.md (first lines)
# Browser Automation with agent-browser The CLI uses Chrome/Chromium via CDP directly. Install via `npm i -g agent-browser`, `brew install agent-browser`, or `cargo install agent-browser`. Run `agent-browser install` to download Chrome. ## Core Workflow Every browser automation follows this pattern: 1. **Navigate**: `agent-browser open <url>` 2. **Snapshot**: `agent-browser snapshot -i` (get element refs like `@e1`, `@e2`) 3. **Interact**: Use refs to click, fill, select 4. **Re-snapshot**: After navigation or DOM changes, get fresh refs ```bash agent-browser open https://example.com/form agent-browser snapshot -i # Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit" agent-browser fill @e1 "user@example.com" agent-browser fill @e2 "password123" agent-browser click @e3 agent-browser wait --load networkidle agent-browser snapshot -i # Check result ``` ## Command Chaining Commands can be chained with `&&` in a single shell invocation. The browser persists between commands via a background daemon, so chaining is safe and more efficient than separate calls. ```bash # Chain open + wait + snapshot in one call agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser snapshot -i # Chain multiple interactions agent-browser fill @e1 "user@example.com" && agent-browser fill @e2 "password123" && agent-browser click @e3 # Navigate and capture agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser screenshot page.png ``` **When to chain:** Use `&&` when you don't need to read the output of an intermediate command before proceeding (e.g., open + wait + screenshot). Run commands separately when you need to parse the output first (e.g., snapshot to discover refs, then interact using those refs). ## Handling Authentication When automating a site that requires login, choose the approach that fits: **Option 1: Import auth from the user's browser (fastest for one-off tasks)** ```bash # Connect to the user's running Chrome (they're already logged in) agent-browser --auto-connect state save ./auth.json # Use that auth state agent-browser --state ./auth.json open https://app.example.com/dashboard ``` State files contain session tokens in plaintext -- add to `.gitignore` and delete when no longer needed. Set `AGENT_BROWSER_ENCRYPTION_KEY` for encryption at rest. **Option 2: Persistent profile (simplest for recurring tasks)** ```bash # First run: login manually or via automation agent-browser --profile ~/.myapp open https://app.example.com/login # ... fill credentials, submit ... # All future runs: already authenticated agent-browser --profile ~/.myapp open https://app.example.com/dashboard ``` **Option 3: Session name (auto-save/restore cookies + localStorage)** ```bash agent-browser --session-name myapp open https://app.example.com/login # ... login flow ... agent-browser close # State auto-saved # Next time: state auto-restored agent-browser --session-name myapp open https://app.example.com/dashboard ``` **Option 4: Auth vault (credentials stored encrypted, login by name)** ```bash echo "$PASSWORD" | agent-browser auth save myapp --url https://app.example.com/login --username user --password-stdin agent-browser auth login myapp ``` **Option 5: State file (manual save/load)** ```bash # After logging in: agent-browser state save ./auth.json # In a future session: agent-browser state load ./auth.json agent-browser open https://app.example.com/dashboard ``` See [references/authentication.md](references/authentication.md) for OAuth, 2FA, cookie-based auth, and token refresh patterns. ## Essential Commands ```bash # Navigation agent-browser open <url> # Navigate (aliases: goto, navigate) agent-browser close # Close browser # Snapshot agent-browser snapshot -i # Interactive elements with refs (recommended) agent-browser snapshot -i -C # Include cursor-interactive elements (divs with onclick, cursor:pointer) agent-browser snapshot -s "#selector" # Scope to CSS selector # Interaction (use @refs from snapshot) agent-browser click @e1 # Click element agent-browser click @e1 --new-tab # Click and open in new tab agent-browser fill @e2 "text" # Clear and type text agent-browser type @e2 "text" # Type without clearing agent-browser select @e1 "option" # Select dropdown option agent-browser check @e1 # Check checkbox agent-browser press Enter # Press key agent-browser keyboard type "text" # Type at current focus (no selector)
From LeoYeAI/openclaw-master-skills, MIT.
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Signals
- Stars
- 2,168
- Forks
- 325
- Open issues
- 13
- Last commit (this folder)
- May 5, 2026 (5 months ago)
- Last release
- Jul 20, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- myclaw.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-browser skill. Agent Mart. https://agentmart.dev/skills/leoyeai-agent-browser (last updated 2026-10-24)