Tencent SkillHub · AI

E2B Desktop

Control E2B Desktop sandboxes (virtual Linux desktops) for computer-use agents. Use when you need to create/manage sandboxed desktop environments, take scree...

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Control E2B Desktop sandboxes (virtual Linux desktops) for computer-use agents. Use when you need to create/manage sandboxed desktop environments, take scree...

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, scripts/_connect.py, scripts/click.sh, scripts/double_click.sh, scripts/drag.sh, scripts/get_cursor.sh

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

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.

Upgrade existing

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.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: EYHN
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

E2B Desktop Skill

Control a headless Linux desktop (Ubuntu + XFCE) via the e2b-desktop Python SDK. All scripts live in scripts/ and wrap the SDK in bash for easy agent use.

Prerequisites

pip install e2b-desktop export E2B_API_KEY=e2b_***

State Management

start_sandbox.sh saves the sandbox ID to ~/.e2b_state All other scripts auto-load it from there Override anytime with export E2B_SANDBOX_ID=<id> Sandboxes survive script exit — reconnect with Sandbox.connect(sandbox_id)

Scripts

ScriptUsageDescriptionstart_sandbox.sh[--resolution 1280x800] [--timeout 300] [--stream]Create sandbox; optionally start VNC streamkill_sandbox.sh[SANDBOX_ID]Kill sandbox and remove statescreenshot.sh[OUTPUT_FILE]Take screenshot → PNG (default: /tmp/e2b_screenshot.png)click.shX YLeft click at coordinatesright_click.shX YRight clickdouble_click.shX YDouble clickmiddle_click.shX YMiddle clickmove_mouse.shX YMove cursor (no click)drag.shX1 Y1 X2 Y2Click-drag between two pointsscroll.shAMOUNTScroll (positive=up, negative=down)type_text.sh"text"Type text at current cursorpress_key.shKEY [KEY2...]Press key or combo (e.g. ctrl c)run_command.sh"cmd"Run shell command inside sandboxopen_url.shURL_OR_PATHOpen URL or file in default applaunch_app.shAPP_NAMELaunch app (e.g. firefox, vscode)stream_start.sh[--auth]Start VNC stream; --auth for password-protectedstream_stop.sh(none)Stop VNC streamget_cursor.sh(none)Print CURSOR_X and CURSOR_Yget_screen_size.sh(none)Print SCREEN_WIDTH and SCREEN_HEIGHTlist_windows.sh[APP_NAME]List app windows or show active windowwait.shMILLISECONDSWait N ms (sandbox-side)

Computer-Use Agent Loop Pattern

SCRIPTS="skills/e2b-desktop/scripts" # 1. Start sandbox source <($SCRIPTS/start_sandbox.sh --resolution 1280x800 --stream) echo "Sandbox: $SANDBOX_ID" echo "View at: $STREAM_URL" # 2. Agent loop while true; do # Capture screen $SCRIPTS/screenshot.sh /tmp/screen.png # Send to LLM, parse action... (your code) ACTION=$(llm_decide /tmp/screen.png) case "$ACTION" in click:*) IFS=: read -r _ x y <<< "$ACTION"; $SCRIPTS/click.sh $x $y ;; type:*) $SCRIPTS/type_text.sh "${ACTION#type:}" ;; key:*) $SCRIPTS/press_key.sh ${ACTION#key:} ;; done) break ;; esac done # 3. Clean up $SCRIPTS/kill_sandbox.sh

Key Notes

scroll.sh AMOUNT: positive = scroll up, negative = scroll down (matches desktop.scroll(amount) API) press_key.sh ctrl c: multiple args become a key combo via desktop.press(["ctrl", "c"]) run_command.sh exits with the sandbox command's exit code All mouse coordinate scripts accept integer pixel coordinates matching sandbox resolution VNC stream: only one active stream at a time; stop before switching windows

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

5 Scripts1 Docs

SKILL.md Primary doc
scripts/_connect.py Scripts
scripts/click.sh Scripts
scripts/double_click.sh Scripts
scripts/drag.sh Scripts
scripts/get_cursor.sh Scripts