Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
AI-powered browser automation using Midscene Bridge mode. Use this skill when the user wants to: - Browse, navigate, or open web pages in the user's own Chro...
AI-powered browser automation using Midscene Bridge mode. Use this skill when the user wants to: - Browse, navigate, or open web pages in the user's own Chro...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
CRITICAL RULES โ VIOLATIONS WILL BREAK THE WORKFLOW: Never run midscene commands in the background. Each command must run synchronously so you can read its output (especially screenshots) before deciding the next action. Background execution breaks the screenshot-analyze-act loop. Run only one midscene command at a time. Wait for the previous command to finish, read the screenshot, then decide the next action. Never chain multiple commands together. Allow enough time for each command to complete. Midscene commands involve AI inference and screen interaction, which can take longer than typical shell commands. A typical command needs about 1 minute; complex act commands may need even longer. Always report task results before finishing. After completing the automation task, you MUST proactively summarize the results to the user โ including key data found, actions completed, screenshots taken, and any relevant findings. Never silently end after the last automation step; the user expects a complete response in a single interaction. Automate the user's real Chrome browser via the Midscene Chrome Extension (Bridge mode), preserving cookies, sessions, and login state. You (the AI agent) act as the brain, deciding which actions to take based on screenshots.
CRITICAL โ Every command MUST follow this EXACT format. Do NOT modify the command prefix. npx @midscene/web@1 --bridge <subcommand> [args] --bridge flag is MANDATORY here โ it activates Bridge mode to connect to the user's desktop Chrome browser
The user has already prepared Chrome and the Midscene Extension. Do NOT check browser or extension status before connecting โ just connect directly. Midscene requires models with strong visual grounding capabilities. The following environment variables must be configured โ either as system environment variables or in a .env file in the current working directory (Midscene loads .env automatically): MIDSCENE_MODEL_API_KEY="your-api-key" MIDSCENE_MODEL_NAME="model-name" MIDSCENE_MODEL_BASE_URL="https://..." MIDSCENE_MODEL_FAMILY="family-identifier" Example: Gemini (Gemini-3-Flash) MIDSCENE_MODEL_API_KEY="your-google-api-key" MIDSCENE_MODEL_NAME="gemini-3-flash" MIDSCENE_MODEL_BASE_URL="https://generativelanguage.googleapis.com/v1beta/openai/" MIDSCENE_MODEL_FAMILY="gemini" Example: Qwen 3.5 MIDSCENE_MODEL_API_KEY="your-aliyun-api-key" MIDSCENE_MODEL_NAME="qwen3.5-plus" MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1" MIDSCENE_MODEL_FAMILY="qwen3.5" MIDSCENE_MODEL_REASONING_ENABLED="false" # If using OpenRouter, set: # MIDSCENE_MODEL_API_KEY="your-openrouter-api-key" # MIDSCENE_MODEL_NAME="qwen/qwen3.5-plus" # MIDSCENE_MODEL_BASE_URL="https://openrouter.ai/api/v1" Example: Doubao Seed 2.0 Lite MIDSCENE_MODEL_API_KEY="your-doubao-api-key" MIDSCENE_MODEL_NAME="doubao-seed-2-0-lite" MIDSCENE_MODEL_BASE_URL="https://ark.cn-beijing.volces.com/api/v3" MIDSCENE_MODEL_FAMILY="doubao-seed" Commonly used models: Doubao Seed 2.0 Lite, Qwen 3.5, Zhipu GLM-4.6V, Gemini-3-Pro, Gemini-3-Flash. If the model is not configured, ask the user to set it up. See Model Configuration for supported providers.
npx @midscene/web@1 --bridge connect --url https://example.com
npx @midscene/web@1 --bridge take_screenshot After taking a screenshot, read the saved image file to understand the current page state before deciding the next action.
Use act to interact with the page and get the result. It autonomously handles all UI interactions internally โ clicking, typing, scrolling, hovering, waiting, and navigating โ so you should give it complex, high-level tasks as a whole rather than breaking them into small steps. Describe what you want to do and the desired effect in natural language: # specific instructions npx @midscene/web@1 --bridge act --prompt "click the Login button and fill in the email field with 'user@example.com'" npx @midscene/web@1 --bridge act --prompt "scroll down and click the Submit button" # or target-driven instructions npx @midscene/web@1 --bridge act --prompt "click the country dropdown and select Japan"
npx @midscene/web@1 --bridge disconnect
Bridge mode connects to the user's real Chrome browser. Each CLI command establishes its own temporary connection, but the browser, tabs, and all state (cookies, login sessions) are always preserved regardless of whether you disconnect. This makes reconnecting lightweight and lossless. Follow this pattern: Connect to a URL to establish a session Take screenshot to see the current state, make sure the page is loaded. Execute action using act to perform the desired action or target-driven instructions. Report results โ summarize what was accomplished, present key findings and data extracted during the task, and list any generated files (screenshots, logs, etc.) with their paths Disconnect only when the user's overall task is fully complete. Do NOT disconnect if the user may have follow-up actions โ keep the session available for continued interaction in subsequent conversation turns.
Always connect first: Navigate to the target URL with connect --url before any interaction. Be specific about UI elements: Instead of "the button", say "the blue Submit button in the contact form". Use natural language: Describe what you see on the page, not CSS selectors. Say "the red Buy Now button" instead of "#buy-btn". Handle loading states: After navigation or actions that trigger page loads, take a screenshot to verify the page has loaded. Disconnect only when fully done: Only disconnect when the user's overall task is completely finished and no follow-up actions are expected. In multi-turn conversations, skip the disconnect to allow continued browser interaction. Disconnecting is safe โ it only closes the CLI-side bridge connection, not the browser or tabs โ but reconnecting adds unnecessary overhead if the user wants to continue. Never run in background: Every midscene command must run synchronously โ background execution breaks the screenshot-analyze-act loop. Batch related operations into a single act command: When performing consecutive operations within the same page, combine them into one act prompt instead of splitting them into separate commands. For example, "fill in the email and password fields, then click the Login button" should be a single act call, not three. This reduces round-trips, avoids unnecessary screenshot-analyze cycles, and is significantly faster. Always report results after completion: After finishing the automation task, you MUST proactively present the results to the user without waiting for them to ask. This includes: (1) the answer to the user's original question or the outcome of the requested task, (2) key data extracted or observed during execution, (3) screenshots and other generated files with their paths, (4) a brief summary of steps taken. Do NOT silently finish after the last automation command โ the user expects complete results in a single interaction. Example โ Dropdown selection: npx @midscene/web@1 --bridge act --prompt "click the country dropdown and select Japan" npx @midscene/web@1 --bridge take_screenshot Example โ Form interaction: npx @midscene/web@1 --bridge act --prompt "fill in the email field with 'user@example.com' and the password field with 'pass123', then click the Log In button" npx @midscene/web@1 --bridge take_screenshot
Ask user to check if Chrome is open with the Midscene Extension installed and enabled. The Midscene Extension can be installed from the Chrome Web Store: https://chromewebstore.google.com/detail/midscenejs/gbldofcpkknbggpkmbdaefngejllnief Check that the 'bridge mode' indicator in the extension shows "Listening" status. See the Bridge Mode documentation.
Web pages may take time to load. After connecting, take a screenshot to verify readiness before interacting. For slow pages, wait briefly between steps.
The screenshot path is an absolute path to a local file. Use the Read tool to view it.
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