Open Computer Use
iFurySt/open-codex-computer-use
Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows.
Manage Horizon native VNC Device panels and drive isolated local desktops for simulators and native application tests through devicepanel and the horizon-device CLI/MCP.
$ npx skills add peters/horizon --skill horizon-device -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install peters/horizon horizon-device --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/peters/horizon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/plugins/codex/skills/horizon-device .claude/skills/horizon-device && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "horizon-device" agent skill from https://github.com/peters/horizon/tree/main/assets/plugins/codex/skills/horizon-device into .claude/skills/horizon-device/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "horizon-device", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/peters/horizon/tree/main/assets/plugins/codex/skills/horizon-deviceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add peters/horizon --skill horizon-device -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install peters/horizon horizon-device --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peters/horizon.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assets/plugins/codex/skills/horizon-device .agents/skills/horizon-device && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "horizon-device" agent skill from https://github.com/peters/horizon/tree/main/assets/plugins/codex/skills/horizon-device into .agents/skills/horizon-device/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "horizon-device", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add peters/horizon --skill horizon-device -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install peters/horizon horizon-device --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peters/horizon.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assets/plugins/codex/skills/horizon-device .cursor/skills/horizon-device && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "horizon-device" agent skill from https://github.com/peters/horizon/tree/main/assets/plugins/codex/skills/horizon-device into .cursor/skills/horizon-device/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "horizon-device", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/peters/horizon.git --path assets/plugins/codex/skills/horizon-device--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add peters/horizon --skill horizon-device -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install peters/horizon horizon-device --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peters/horizon.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assets/plugins/codex/skills/horizon-device .gemini/skills/horizon-device && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "horizon-device" agent skill from https://github.com/peters/horizon/tree/main/assets/plugins/codex/skills/horizon-device into .gemini/skills/horizon-device/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "horizon-device", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install peters/horizon horizon-deviceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add peters/horizon --skill horizon-device -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/peters/horizon.git skills-src && mkdir -p .github/skills && cp -r skills-src/assets/plugins/codex/skills/horizon-device .github/skills/horizon-device && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "horizon-device" agent skill from https://github.com/peters/horizon/tree/main/assets/plugins/codex/skills/horizon-device into .github/skills/horizon-device/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "horizon-device", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add peters/horizon --skill horizon-device -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install peters/horizon horizon-device --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peters/horizon.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assets/plugins/codex/skills/horizon-device .opencode/skills/horizon-device && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "horizon-device" agent skill from https://github.com/peters/horizon/tree/main/assets/plugins/codex/skills/horizon-device into .opencode/skills/horizon-device/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "horizon-device", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
horizon-deviceManage Horizon native VNC Device panels and drive isolated local desktops for simulators and native application tests through devicepanel and the horizon-device CLI/MCP.
Horizon Device is an agent skill from peters/horizon. Manage Horizon native VNC Device panels and drive isolated local desktops for simulators and native application tests through devicepanel and the horizon-device CLI/MCP. Device panels work on every platform; driving an isolated desktop works on Linux with X11 only. Browser pages use horizon-browser.
Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Model Context Protocol and Linux. The repository describes itself as: GPU-accelerated terminal board that puts all your sessions on an infinite canvas. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 39421a4. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
cargosshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Horizon Device loads about 4k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 2,171 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from peters/horizon at commit 39421a4, republished under its MIT licence (© peters). 2,171 words, ~4,017 tokens.
.claude/skills/horizon-device/SKILL.md (or your agent's skills folder).Use this skill for Horizon VNC Device panels, simulators, and isolated native
application tests. Browser pages use the horizon-browser skill and browser_*
tools. Never drive a browser with device input.
Always observe interactive native tests live through a Horizon native VNC Device panel in the user's current workspace. Use a task-owned isolated desktop and private application state. Do not use noVNC or a browser viewer, or substitute screenshots or recordings for the live panel.
device_panel operations are create, list, inspect, screenshot,
video, visibility, reveal, reconnect, and close.
Use the public device_panel MCP tool for viewer lifecycle. Call
operation: "list" to discover panels in the caller's workspace. Create a
task-owned viewer with operation: "create" and the fixture's numeric loopback
endpoint (IP and nonzero port); retain its returned panel_id. This requires
a Horizon-launched agent and a supporting host. The tool does not provision a
desktop or forward input. The source checkout's scripts/device-smoke/README.md
describes the isolated fixture; launch it with --native-view and use its
vnc_address, not a browser URL.
A VNC server on another machine's loopback is reached with optional ssh in
create: { "host": "lab", "user": "deploy", "port": 2222 } (user and port
optional). endpoint is then the address as seen from that SSH host, typically
127.0.0.1:5900. Horizon runs ssh -W with its own SSH configuration and
keys, with strict host-key checking pinned regardless of ssh_config, so the
host must already be trusted in known_hosts (open it over SSH once); never
pass credentials, key paths or ssh options. Labels may only contain
letters, digits, ., _, - (and : in an IPv6 host), at most 253
characters for the host and 64 for the user, and are refused otherwise, so
nothing reaches ssh as an option or a shell fragment. Inspect and list report ssh for
tunnelled viewers, and connection_error carries ssh's last lines when the
tunnel fails.
When known, include optional identity in create: machine_name, hostname,
ip_addresses (numeric IPv4/IPv6 list), and tailscale_name. These are labels
supplied by the session creator, not verified identity. Use details for the
actual target machine; never substitute the local tunnel endpoint or the
viewer's own hostname. Omit unknown fields. Inspect/list return these labels.
Creation returns immediately. Use operation: "inspect" and the returned id to
check connection: "connected". For a visible, on-screen viewer, also verify
image_received, image_displayed and an advancing frame_sequence while target
output changes. visible is only a presentation setting; an image can be off
canvas or clipped. Current hosts keep uploading about once a second while a
viewer is not drawn, so frame_sequence keeps advancing off canvas; older hosts
pause uploads there, so also accept an advancing received_frame_sequence while
target output changes as reception evidence. That counter tracks received image
updates independently of the uploaded-image frame_sequence. Establish live
presentation once per connection (image_displayed with advancing frames). If
the viewer later reports not_rendered with outside_canvas while
last_displayed_age_millis is present, the person navigated away: keep testing
and recording, do not pause the lane, and do not reveal again just to advance
counters.
Both counters reset on reconnect and neither is a heartbeat: a stationary desktop
is not a connection failure. Older hosts may omit reception progress; do not
interpret a missing/default-zero counter as a failure. Set
operation: "visibility", visible: true for a hidden owned viewer, then verify
actual presentation. Never claim that a separate isolated viewer is visible to
the user merely because its screenshot is available.
Check this automatically; never ask a human to confirm visibility or advancing
frames. Save at least three timestamped public inspections, two seconds apart.
The current frame_sequence counts uploaded images, not independent transport
heartbeats. An unchanged sequence on a static or unknown target does not prove a
stalled connection. A displayed static image proves presentation only; changing
target output and sequence advancement are needed for live-motion evidence.
Recover only the task-owned viewer, with at most one visibility request when
hidden and one reconnect when stopped or disconnected. Inspect again after each
request; do not reconnect a healthy connection merely because its image is not
displayed. Do not close/recreate viewers in a loop. Retain the attempt budget
across retries for the same incident. For a viewer that has never presented an image, a connected, visible,
unpresented viewer requires operation: "reveal" on hosts advertising it.
Current hosts return navigation_preserved once this viewer has presented a
non-discarded image, including after reconnect or ownership transfer. Restored
viewers also preserve the saved canvas when their previous display history is
unavailable; reconnect grants transport ownership, never navigation permission. Keep
background testing, recording and inspection running; use the UI to return to
the viewer when needed. Never close/recreate it to bypass this protection.
Reveal an owned viewer at most once; it changes the viewport without reconnecting and answers once the
host has drawn the viewer, or after at most three seconds with the presentation
reason and host exclusion that kept it off screen (a host running no UI frames
cannot draw it and answers when that bound expires). In the reveal answer,
image_displayed is true only for a draw after the reveal applied. A drawn image is not live-motion proof. When diagnostics are present, record connection
generation, decoded-frame sequence and age, sampling pause, last displayed age
and presentation reason. Current hosts keep reception and bounded uploads active while hidden or
off canvas; older hosts may pause them. Neither not_rendered nor a legacy sampling
pause proves a transport failure; awaiting_frame differs from clipped. Decoded pixels alone do not
prove display. Older hosts may lack reveal or diagnostics: record
presentation_unverified and the missing capability instead of asking the user
to move or watch the panel. Continue non-interactive checks. Never restart the
user's Horizon to upgrade these capabilities without authorization.
operation: "reconnect" explicitly connects and acquires an unowned/restored
viewer; do not take another owner's panel. Restored viewers stay stopped until
reconnected. operation: "close" closes an owned viewer without terminating its
target. On host_timeout, list before retrying a mutation because it may have
completed. If the tool, supporting host or visible native viewer is unavailable,
report the blocked lane. Do not fall back to noVNC, edit private runtime files,
restart active sessions, or automate the developer's desktop.
Drive the isolated target with explicitly configured device CLI/MCP tools: use
device_doctor, then device_screenshot, then bounded device_act input with
fresh geometry. Observe the result after each action. A dispatched receipt
confirms input delivery, not application success. On stale geometry take another
screenshot. On indeterminate input observe before deciding whether another
action is appropriate; never replay blindly. The native Device panel is
read-only for agents: a person may turn its Interact toggle on in the UI, but
no tool operation can.
The local CLI has the same contract:
horizon-device --target <private-target.json> doctor|screenshot|act|resize <JSON>.
For screenshots an optional output path writes a new private file instead of
base64 JSON. Optional --options JSON (or --options - for stdin) accepts
region: {x,y,width,height}, output: {width,height}, format: png|jpeg, and
JPEG-only quality: 1..100. MCP screenshot accepts the same options directly.
Omitting options preserves full-resolution PNG; JPEG defaults to quality 85.
act - reads JSON from stdin. Use this to avoid putting entered text in shell
history. The MCP server uses --target <file> mcp and stays bound to that
configured target. Read --help if the executable/target was not supplied.
device_act operations are click, drag, scroll, type, and key.
Action fields: click (at, button), drag (from, to, duration_ms), scroll (at,
vertical_notches, horizontal_notches), type (text), key (key, modifiers).
Coordinates are original surface pixels. When a screenshot is cropped/scaled,
map image pixels through source_region and image_dimensions before input:
origin + floor((pixel + 0.5) * source_size / image_size) per axis. Keep the
returned original geometry unchanged. Touch and accessibility are not implemented.
Each type action accepts at most 256 Unicode scalars and 4096 UTF-8 bytes,
without NUL. Text input is paced to let the application consume X11 key mappings;
split longer text into bounded actions and verify the displayed result.
Only control the explicitly authorized display; no implicit desktop fallback.
The caller owns the isolated display, application startup and cleanup. Independent fixtures need separate unused displays, private configuration/home, expiring targets, loopback VNC ports and owned process trees. Bind each agent to its exact target; do not share screenshot geometry across fixtures. Never control the developer's desktop, change production configuration, or stop a pre-existing application. When a target expires, stop; do not recreate it from a saved display number.
Finish the intended build, copy executables to a new task-owned directory, and
record their hashes before launch. Keep build caches separate across source
checkouts during qualification. Verify the running application's executable/hash
against that frozen copy, following the actual child rather than a sandbox
launcher such as bwrap. Close only the owned candidate normally when replacing
it; a rebuild does not change a running process. Native View controls change
local rendering, not target desktop geometry or VNC compression. Device
screenshot crop/output options are separate controls.
For nested Device-panel tests, view the isolated Horizon containing that panel through a native panel in the user's workspace; keep each target and its geometry distinct.
Use docs/testing/procedures/terminal-close.md in the Horizon source checkout for task IDs, native response and owned cleanup.
When testing terminal close in Horizon, use this sequence:
On Unix, run the focused teardown regression before native smoke.
cargo test -p horizon-core terminal::lifecycle::tests::dropping_a_finished_event_loop_does_not_wait_for_its_live_child -- --exactResult: The caller returns before the live PTY child exits. Background cleanup then completes after the child exits.
Close an owned terminal panel in the isolated candidate with normal UI input.
Result: The candidate remains responsive while a helper thread joins the event loop and destroys its PTY.
Record cleanup of the fixture's owned child processes separately from viewer close.
Result: The evidence distinguishes responsive UI behavior from completed process cleanup.
A finished thread handle can still own a returned PTY that waits for its child. Do not replace this regression with a larger timeout or remove its live-child condition.
Use device_panel with operation: screenshot and the owned panel_id to get
full connected desktop pixels as a private PNG with dimensions. Local crop and
scale controls do not affect this capture. Optional copy_to_clipboard defaults
false; clipboard_requested proves native host dispatch, not OS acknowledgement.
Stopped, disconnected, or no-frame viewers refuse capture. Capture changes no
visibility, focus, canvas, or Interact state. Only eight exports remain until
panel close or normal host exit. A screenshot does not replace live-motion evidence.
device_panel video operations are start, status, and stop.
For feature evidence, use device_panel with operation: video, the owned
panel_id, and action: start|status|stop. Start before the flow. It records the
full VNC desktop as private WebM without audio and continues offscreen. Every
action requires the exact owning agent. It stops on disconnect, after five
minutes, or at 256 MiB. Stop is asynchronous: read status at a bounded interval
until recording.capture.active and recording.finalizing are both false.
Examine encoder_failed and frames_encoded, then decode representative frames.
The file path is on the Horizon host. Copy it before panel close or four subsequent
recordings. Browser pages use browser_video; native provider sessions use
app_video through horizon-app-testing.
On older hosts without viewer video, use a recorder explicitly scoped to the owned isolated display. If recording is unavailable or stalls, report that lane; still images do not replace motion evidence. Keep finalized evidence private. Public demonstrations use generic fixtures and synthetic content only. Client-side scaling does not reduce VNC wire bandwidth.
Close only task-owned viewers and application/display fixtures, then verify
children exited and target configuration expired. Horizon injects device_panel
on the browser MCP; this skill does not start a viewer or register the input
server. Callers must still supply the horizon-device executable and target for
input, or register --target <file> mcp.
Owner permission is separate from server support. Enable
desktop_resize.policy.enabled only for the owned container session, with
max_width, max_height and max_pixels limits. An optional adapter uses the
explicit desktop_resize.vnc_address; existing X11 users need no VNC dependency.
Check doctor, then call resize '{"width":1920,"height":1080}' or MCP
device_resize with the same dimensions. A confirmed result includes requested
and applied dimensions and current surface geometry. Capture a fresh screenshot
before input. Pre-resize coordinates remain stale after a grow/shrink round
trip. Screenshot crop/output dimensions and viewer Fit do not resize the desktop.
The CLI/MCP runner serializes commands and writes a target.json.resize-pending
journal before dispatch. After a timeout, disconnect or process exit during
mutation, the owner must reconcile the same session before removing that journal.
device_resize cannot enable permission or clear uncertainty. A separate
target.json.resize-observe marker blocks input until a successful fresh screenshot.
A bounded operation already in progress finishes even if its MCP caller cancels.
Target filenames must not end in .lock, .resize-pending or .resize-observe.
CLI/MCP errors include resize_uncertain: true means a resize may have been
applied and requires owner reconciliation before retrying.
To change permission during a running session, call device_set_resize_enabled
with {"enabled":true} or {"enabled":false}, or use
horizon-device --target <file> --resize-enabled true|false from another CLI.
The next operation reloads the saved setting; no MCP restart is needed. Limits,
endpoint and pending journals are preserved. A busy result means retry the
permission change after the current operation finishes; disabling cannot cancel
an already dispatched resize or reconcile uncertainty.
© peters, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in assets/plugins/codex/skills/horizon-device of peters/horizon.
Open the folder on GitHubat commit 39421a4
Horizon Device next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Horizon Device this skillpeters/horizon | 716 | — | ~4k | Automated safety check: Pass | MIT | |
| Open Computer UseiFurySt/open-codex-computer-use | 2.4k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Youtubeeat-pray-ai/yutu | 699 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Linux Desktop Controlagent-sh/computer-use-linux | 675 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Gearcoleco Debuggingdrhelius/Gearcoleco | 142 | — | ~3.5k | Automated safety check: Pass | GPL-3.0 | |
| Cortex Mem MCPsopaco/cortex-mem | 313 | — | ~2.8k | Automated safety check: Pass | MIT |
iFurySt/open-codex-computer-use
Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows.
eat-pray-ai/yutu
A skill your agent uses whenever the user mentions YouTube, video uploads, channel management, playlists, video SEO, or any YouTube Data API operation.
agent-sh/computer-use-linux
Lets an agent observe and operate a local Linux desktop through the computer-use-linux MCP server or Pi tools: accessibility trees, screenshots, windows and input.
drhelius/Gearcoleco
Debug and trace ColecoVision and Super Game Module games using the Gearcoleco emulator MCP server.
sopaco/cortex-mem
Persistent memory enhancement for AI agents. An agent skill from sopaco/cortex-mem.
XimilalaXiang/DeLive
Analyze, summarize, and extract insights from DeLive transcription sessions.
peters/horizon
Check that a microphone is usable for Horizon dictation and report which layer is at fault — no signal, bad level, or a genuine model/accent limit.
peters/horizon
Run or inspect declared iOS and Android native app tests through Horizon devicetestrun and app MCP tools.
peters/horizon
Cast Horizon panels, workspaces, cloud cards, or its main window to Apple TV through the public cast MCP tool.
peters/horizon
Control, inspect, or audit Horizon browser panels through public browser MCP tools.
peters/horizon
Inspect Horizon cloud offers and companions, control explicitly authorized companion workers, use a worker Local Network Bridge, or ask for GitHub access from a cloud worker through public MCP tools.
Works with
Manage Horizon native VNC Device panels and drive isolated local desktops for simulators and native application tests through devicepanel and the horizon-device CLI/MCP. Horizon Device is an agent skill from peters/horizon. Manage Horizon native VNC Device panels and drive isolated local desktops for simulators and native application tests through devicepanel and the horizon-device CLI/MCP.
Run `npx skills add peters/horizon --skill horizon-device -a claude-code`. Or copy the skill folder (assets/plugins/codex/skills/horizon-device in peters/horizon) into .claude/skills/horizon-device in your project. Claude Code loads it when a task matches its description.
Run `npx skills add peters/horizon --skill horizon-device -a codex`. Or copy the skill folder (assets/plugins/codex/skills/horizon-device in peters/horizon) into .agents/skills/horizon-device in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add peters/horizon --skill horizon-device -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/horizon-device, .gemini/skills/horizon-device, .github/skills/horizon-device and .opencode/skills/horizon-device in your project.
Going by SKILL.md and its folder, Horizon Device needs the command-line tools its instructions call (cargo and ssh).
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Horizon Device is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Horizon Device: Open Computer Use (iFurySt/open-codex-computer-use, 2.4k stars), Youtube (eat-pray-ai/yutu, 699 stars), Linux Desktop Control (agent-sh/computer-use-linux, 675 stars) and Gearcoleco Debugging (drhelius/Gearcoleco, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
peters (a GitHub user) maintains it in peters/horizon, which has 716 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 10, 2026.
Source: peters/horizon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.