- Skill ID
- web-infra-dev/midscene-skills/computer-automation
- Publisher
- web-infra-dev
- Repository
- midscene-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
web-infra-dev/midscene-skills/computer-automationInstalls these files- SKILL.md
What this skill tells the agent
Desktop Computer Automation
CRITICAL RULES — VIOLATIONS WILL BREAK THE WORKFLOW: 1. 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. 2. 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. 3. 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. 4. Always report task results before finishing. After completing the automation task, you MUST proactively summarize the results to the user — 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. 5. Only minimize windows, never close them unless explicitly asked. When you need to dismiss or get a window out of the way, minimize it instead of closing it. Do not close any app or window unless the user explicitly asks you to do so.Control your desktop (macOS, Windows, Linux) using npx -y @midscene/computer@1. Each CLI command maps directly to an MCP tool — you (the AI agent) act as the brain, deciding which actions to take based on screenshots.
What act Can Do
Inside a single act call on desktop, Midscene can move the mouse, click, double-click, right-click, drag items, type or clear text, scroll, press single keys or keyboard shortcuts, and work through multi-step interactions on whatever is visible on the selected display.
Prerequisites
Midscene requires models with strong visual grounding capabilities. The following environment variables must be configured — 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.
Commands
Connect to Desktop
npx -y @midscene/computer@1 connect
npx -y @midscene/computer@1 connect --displayId <id>Connect via RDP
Use RDP mode to drive a remote Windows desktop instead of the local machine. Providing --host switches connect to RDP and routes every subsequent command (act, tap, take_screenshot, assert, disconnect) through the RDP helper binary bundled with @midscene/computer. The local mouse/keyboard is not touched.
Minimum example:
npx -y @midscene/computer@1 connect \
--host rdp.example.com \
--username Administrator \
--password "$RDP_PASSWORD"All RDP options for connect (RDP mode is activated when --host is set; the other flags are optional):
--host <fqdn-or-ip>— RDP host. Required to enter RDP mode.--port <number>— RDP port (default3389).--username <user>— RDP user account.--password <secret>— RDP password. Prefer reading from an environment variable, secrets manager, or interactive prompt; never paste it into a shared transcript.--domain <domain>— Active Directory / NTLM domain.--security-protocol <auto|tls|nla|rdp>— Security protocol negotiation. Defaults toauto.--ignore-certificate— Skip TLS certificate validation. Use only for trusted dev hosts with self-signed certs.--admin-session— Attach to the admin/console session (equivalent tomstsc /admin).--desktop-width <px>and--desktop-height <px>— Request a specific remote desktop resolution. The actual size is whatever the RDP server negotiates back; e.g. requesting1024x768against a host that pins1280x720will land on1280x720. Confirm the negotiated size withlistdisplays --host ... --username ... --password ...after connect.
Notes specific to RDP mode:
--displayIdand--headlessare ignored in RDP mode. A connected RDP session always exposes a single virtual display whose size is whatever the server negotiated.- Two display-listing commands exist and behave differently — pick the right one:
list_displays(with underscore, platform tool) — enumerates local physical displays only. Does not accept RDP flags. Useless after an RDP connect.listdisplays(no underscore, action tool) — accepts the same RDP flags asconnect/take_screenshot/etc. In RDP mode it returns the negotiated virtual display, e.g.[{ "id": "...", "name": "RDP 10.70.86.26:3389 (1280x720)", "primary": true }]. Use this to verify the actual resolution.- The RDP transport uses a native helper binary shipped inside
@midscene/computer. If you seeRDP helper binary not founderrors, the optionalbin/<platform>/rdp-helperwas stripped from your install — reinstall the package or unpack a fresh tarball. - Treat RDP credentials as secrets: do not commit
.envfiles containing--passwordto the repo; preferexport RDP_PASSWORD=...in the current shell and reference it as--password "$RDP_PASSWORD". - Latency expectations: every CLI invocation is a fresh node process, so each command re-establishes the RDP session. Budget roughly:
connect/take_screenshot/keyboardpress/scroll: ~5 s (node startup + RDP TLS+NLA handshake + first frame).act/assert/tap --locate: ~5 s + AI inference + any planned sub-actions; expect 8–20 s end-to-end for typical interactions.- The RDP handshake itself is ~700 ms; the rest is unavoidable cold-start cost in the CLI shape.
- Connect failure diagnostics: when
connectfails, the first line of stderr is the actionable error (e.g.connect_failed: Failed to connect to RDP server: ERRCONNECT_LOGON_FAILURE: Logon failed.). The subsequent stack trace is diagnostic noise — read the first line, then check credentials/network. CommonERRCONNECT_*causes: LOGON_FAILURE— bad username/password/domain.CONNECT_TRANSPORT_FAILED— host unreachable or RDP port blocked. Verify withnc -zv <host> 3389.TLS_CONNECT_FAILED— TLS handshake rejected. Try--ignore-certificatefor self-signed dev hosts, or pin--security-protocol nla.
After connect --host ... succeeds, the rest of the workflow (act, tap --locate, assert, take_screenshot, listdisplays, report-tool, disconnect) is identical to local mode — just remember to pass the same --host/--username/--password/--ignore-certificate flags to every subsequent command, since each CLI invocation is stateless and reconnects.
List Displays
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