Agent skill

Remote Environments

by asgeirtj in asgeirtj/system_prompts_leaks

Discover available task environments and create or continue tasks when the user names an environment or computer, or refers to files or apps specifically on their computer.

CC0-1.0Auto-check passed

Install Remote Environments

skills CLI
$ npx skills add asgeirtj/system_prompts_leaks --skill remote-environments -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install asgeirtj/system_prompts_leaks remote-environments --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/OpenAI/dots/skills/remote-environments .claude/skills/remote-environments && rm -rf skills-src

Use ~/.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/

Facts

Skill name
remote-environments
GitHub stars
69k
Token cost
~1.4k tokens
SKILL.md length
768 words
Files
1
Skills in repo
124
Repo updated
First seen
Licence
CC0-1.0

At a glance

Discover available task environments and create or continue tasks when the user names an environment or computer, or refers to files or apps specifically on their computer.

  • Names an environment
  • SKILL.md covers Decide where to work, Discover and choose, Create the task and Follow through
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Refers to files

What it does

Remote Environments is an agent skill from asgeirtj/system_prompts_leaks. Discover available task environments and create or continue tasks when the user names an environment or computer, or refers to files or apps specifically on their computer. Excludes software engineering; use orbit:software-engineering for that.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro… The licence is CC0-1.0.

When your agent uses it

  • Names an environment
  • Refers to files
  • Apps specifically on their computer

Example prompts

  • “/remote-environments”

What it can do on your machine

Read from SKILL.md and the folder at commit e31ec21. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Remote Environments loads about 1.4k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 768 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from asgeirtj/system_prompts_leaks at commit e31ec21, republished under its CC0-1.0 licence (© asgeirtj). 768 words, ~1,419 tokens.

Download SKILL.mdSave it as .claude/skills/remote-environments/SKILL.md (or your agent's skills folder).
name
remote-environments
description
Discover available task environments and create or continue tasks when the user names an environment or computer, or refers to files or apps specifically on their computer. Excludes software engineering; use orbit:software-engineering for that.

Remote environments

Do not use this skill for software engineering. For codebase investigation, coding, debugging, tests, product QA, or PR/CI work, use $orbit:software-engineering instead, including its environment-selection guidance.

Use this skill in the parent dot for other tasks. If you are already the assigned task, work in your selected environment.

For follow-up work in a task whose environment the user already selected, go straight to Follow through. Keep its threadId and selected environment.

This skill covers both collections returned by cloud_threads.list_environments: existing user computers and registered remotes in environments, and personal and workspace-shared saved coding configurations in codingEnvironments. The dot cloud computer is separate and is not included in that list.

Decide where to work

Use the dot cloud computer for all computer work unless:

  • The user asks to use a specific environment or computer. Use that environment or computer.
  • The user refers to files or apps specifically on their computer, such as "files on my computer" or "the app open on my desktop." Use the user's computer.
  • The browser tool's documentation calls for a local browser fallback. Use the user's connected computer, preserving their explicit browser and environment choices.

A request for a cloud task alone does not select another computer. The dot cloud computer remains the default.

Discover and choose

  • Call cloud_threads.list_environments. Use the returned names, IDs, connection status, and repository information; do not invent IDs or keep a fixed list of environments.
  • Read both collections. Follow nextCursor by passing it unchanged as cursor when needed to find the requested configuration or resolve ambiguity. To list all choices, continue until it is null, including through empty pages. Computer entries repeat across pages; list each computer once.
  • Use the target selected under Decide where to work, preserving the user's instructions. "Your computer" means the dot cloud computer; "my computer," "my Mac," and "my laptop" mean the user's computer. A named remote refers to that remote. If multiple entries match and context does not distinguish them, ask which one.
  • When the user selects a saved coding environment, its configuration creates a fresh workspace using its repositories and setup. References to files or apps specifically on the user's computer require that computer.
  • If the requested environment is missing, offline, or unavailable, explain the specific blocker and continue work that does not depend on it. Do not silently switch environments. An empty coding catalog means no configurations were returned; it does not establish that none exist.
Show full SKILL.md (364 more words)Show less

Create the task

Use a short title and a self-contained prompt with the requested outcome, relevant context, repository or directory, constraints, and what to verify. The child does not inherit this conversation.

TargetArguments to cloud_threads.create
Existing user computer or registered remotePass its non-null environmentId. It must have status: "connected"; attached: false is allowed.
Fresh workspace from a saved coding configurationPass the configuration's id as environmentConfigId, not its version_id. No attached or connected user computer is required.
User's computer via the attached-computer defaultUse only after the rules above select the user's computer. Omit both selectors and cwd; exactly one user computer must be attached and it must be connected.
  • Check only the selected environment's prerequisites. A disconnected or unattached user computer does not block a saved coding environment.
  • When creating an authorized task, call cloud_threads.create with the requested target's selector. If blocked, explain the applicable instruction or actual tool error for that path. Do not infer a launch restriction from another computer's status or invent a separate attachment or approval requirement.
  • Pass at most one environment selector.
  • With environmentId, optionally pass cwd as an absolute path on that computer. Otherwise use its default directory. Changing cwd does not expand write access.
  • With environmentConfigId, omit cwd. Repository refs and setup come from the saved configuration.
  • Discovery does not attach or connect a computer. Explicit selection does not require changing the parent's attachments. Respect any access or feature-availability error from creation.
  • Connection status does not describe browser or app capabilities. Have the child check the tools needed for the task before promising it can operate a browser or application.

Follow through

  • Successful creation already attaches the task to the conversation; do not call cloud_threads.attach again. Share a supported task link when available without referring to a task card.
  • Creation confirms the task was accepted; setup or execution may still be running. Use cloud_threads.read when results are needed and the child's completion notification to follow progress. Do not poll continuously.
  • Continue related work with cloud_threads.send_message on the same threadId; it keeps the selected environment.
  • Do not automatically repeat an uncertain create. If the error includes a threadId, read that task before sending a follow-up.

© asgeirtj, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in OpenAI/dots/skills/remote-environments of asgeirtj/system_prompts_leaks.

Open the folder on GitHubat commit e31ec21

Compare with similar skills

Remote Environments 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.

Remote Environments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Remote Environments this skillasgeirtj/system_prompts_leaks69k—~1.4kAutomated safety check: PassCC0-1.0
Securing Remote Access To Ot Environmentmukul975/Anthropic-Cybersecurity-Skills34k—~3.6kAutomated safety check: PassApache-2.0
Remotion Interactivityremotion-dev/remotion63k5 repos~4.8kAutomated safety check: PassCustom licence
Flox Environmentsaffaan-m/ECC276k1 repos~3.5kAutomated safety check: NotesMIT
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0
Remotiondavila7/claude-code-templates32k1 repos~1.6kAutomated safety check: PassMIT

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Questions about Remote Environments

What does Remote Environments do?

Discover available task environments and create or continue tasks when the user names an environment or computer, or refers to files or apps specifically on their computer. Remote Environments is an agent skill from asgeirtj/system_prompts_leaks. Discover available task environments and create or continue tasks when the user names an environment or computer, or refers to files or apps specifically on their computer.

When should I use Remote Environments?

Remote Environments fits situations like: names an environment; refers to files; apps specifically on their computer.

How do I install Remote Environments in Claude Code?

Run `npx skills add asgeirtj/system_prompts_leaks --skill remote-environments -a claude-code`. Or copy the skill folder (OpenAI/dots/skills/remote-environments in asgeirtj/system_prompts_leaks) into .claude/skills/remote-environments in your project. Claude Code loads it when a task matches its description.

How do I install Remote Environments in Codex?

Run `npx skills add asgeirtj/system_prompts_leaks --skill remote-environments -a codex`. Or copy the skill folder (OpenAI/dots/skills/remote-environments in asgeirtj/system_prompts_leaks) into .agents/skills/remote-environments in your project. Codex loads it when a task matches its description.

Can I use Remote Environments in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgeirtj/system_prompts_leaks --skill remote-environments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remote-environments, .gemini/skills/remote-environments, .github/skills/remote-environments and .opencode/skills/remote-environments in your project.

What does Remote Environments need to run?

SKILL.md names no scripts, command-line tools or credentials: Remote Environments is instructions for the agent only.

Does Remote Environments access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Remote Environments safe to install?

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.

What licence does Remote Environments use?

Remote Environments is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Remote Environments use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Remote Environments?

Skills that share tags, products or a category with Remote Environments: Securing Remote Access To Ot Environment (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Remotion Interactivity (remotion-dev/remotion, 63k stars), Flox Environments (affaan-m/ECC, 276k stars) and Continue (telegramdesktop/tdesktop, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remote Environments?

asgeirtj (a GitHub user) maintains it in asgeirtj/system_prompts_leaks, which has 69,211 GitHub stars. The repository holds 124 skills in this directory. The repository was last updated on October 8, 2026.

Source: asgeirtj/system_prompts_leaks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.