Install
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npx agentmarket install skill/wizarck-agent-browser
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About
Use cases: frontend, testing, data, productivity
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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
- AGPL-3.0
- Allowed tools
- Bash(npx, agent-browser:*),, Bash(agent-browser:*)
- Instructions
- 824 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves some shell commands
Agent Skills spec issues
- body: 824 lines (spec recommends under 500)
Files (11)
- SKILL.md
- 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. Existing Chrome, Brave, Playwright, and Puppeteer installations are detected automatically. Run `agent-browser upgrade` to update to the latest version. ## 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 2000 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 + snapshot in one call (open already waits for page load) agent-browser open https://example.com && 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 screenshot ``` **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: Chrome profile reuse (zero setup)** ```bash # List available Chrome profiles agent-browser profiles # Reuse the user's existing Chrome login state agent-browser --profile Default open https://gmail.com ``` **Option 3: Persistent profile (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 4: 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 5: 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 ``` `auth login` navigates with `load` and then waits for login form selectors to appear before filling/clicking, which is more reliable on delayed SPA login screens. **Option 6: 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 # Batch: ALWAYS use batch for 2+ sequential commands. Commands run in order. agent-browser batch "open https://example.com" "snapshot -i" agent-browser batch "open https://example.com" "screenshot" agent-browser batch "click @e1" "wait 1000" "screenshot" # Navigation
From Wizarck/nexandro, AGPL-3.0.
Signals
- Stars
- 2
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Apr 26, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/Wizarck/nexandro
- 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/wizarck-agent-browser (last updated 2026-10-24)