MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Setting up or installing into a Python environment. An agent skill from asgeirtj/system_prompts_leaks.
CC0-1.0Auto-check passed
Install Python Env
$ npx skills add asgeirtj/system_prompts_leaks --skill python-env -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgeirtj/system_prompts_leaks python-env --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/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Meta/muse-code/skills/python-env .claude/skills/python-env && 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 "python-env" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-code/skills/python-env into .claude/skills/python-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-env", 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/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-code/skills/python-envType 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 asgeirtj/system_prompts_leaks --skill python-env -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgeirtj/system_prompts_leaks python-env --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Meta/muse-code/skills/python-env .agents/skills/python-env && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-env" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-code/skills/python-env into .agents/skills/python-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-env", 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 asgeirtj/system_prompts_leaks --skill python-env -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgeirtj/system_prompts_leaks python-env --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Meta/muse-code/skills/python-env .cursor/skills/python-env && 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 "python-env" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-code/skills/python-env into .cursor/skills/python-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-env", 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/asgeirtj/system_prompts_leaks.git --path Meta/muse-code/skills/python-env--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 asgeirtj/system_prompts_leaks --skill python-env -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgeirtj/system_prompts_leaks python-env --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Meta/muse-code/skills/python-env .gemini/skills/python-env && 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 "python-env" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-code/skills/python-env into .gemini/skills/python-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-env", 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 asgeirtj/system_prompts_leaks python-envInstalls 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 asgeirtj/system_prompts_leaks --skill python-env -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .github/skills && cp -r skills-src/Meta/muse-code/skills/python-env .github/skills/python-env && 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 "python-env" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-code/skills/python-env into .github/skills/python-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-env", 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 asgeirtj/system_prompts_leaks --skill python-env -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgeirtj/system_prompts_leaks python-env --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Meta/muse-code/skills/python-env .opencode/skills/python-env && 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 "python-env" agent skill from https://github.com/asgeirtj/system_prompts_leaks/tree/main/Meta/muse-code/skills/python-env into .opencode/skills/python-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-env", 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.
Facts
- Skill name
python-env- GitHub stars
- 69k
- Token cost
- ~676 tokens
- SKILL.md length
- 292 words
- Files
- 1
- Skills in repo
- 121
- Repo updated
- First seen
- Licence
- CC0-1.0
At a glance
Setting up or installing into a Python environment. An agent skill from asgeirtj/system_prompts_leaks.
- SKILL.md covers Where it goes, PEP 668:…, Hand off commands the user can… and Respect what is already there
- Calls uv, pip and python
What it does
Python Env is an agent skill from asgeirtj/system_prompts_leaks. Setting up or installing into a Python environment. One rule applies whether or not you read the body - the environment belongs with the project, so create it inside the project directory (.venv) or let uv manage it, and never in a scratch directory like /tmp and never by forcing an install into the system interpreter. Load the body before creating a virtualenv, choosing an installer, or writing run instructions for a Python project.
Its SKILL.md is about 680 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 Python. 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.
Example prompts
- “/python-env”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit f015440. 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
Shell commands in SKILL.md call:
uvpippythonpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv and pip, which can reach the network depending on how they are called.
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
Python Env loads about 676 tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 292 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.
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 f015440, republished under its CC0-1.0 licence (© asgeirtj). 292 words, ~676 tokens.
Download SKILL.mdSave it as
.claude/skills/python-env/SKILL.md (or your agent's skills folder).- name
- python-env
- description
- Setting up or installing into a Python environment. One rule applies whether or not you read the body - the environment belongs with the project, so create it inside the project directory (.venv) or let uv manage it, and never in a scratch directory like /tmp and never by forcing an install into the system interpreter. Load the body before creating a virtualenv, choosing an installer, or writing run instructions for a Python project.
- user-invocable
- false
Python environments
The environment is part of the project, not scratch space. A user who opens the project tomorrow, or clones it on another machine, should find the environment where their editor, their tooling, and their habits expect it.
Where it goes
Create it inside the project directory — .venv at the project root is the
convention nearly every editor and tool auto-detects:
python3 -m venv .venv
source .venv/bin/activate
pip install -e .For a greenfield project, prefer uv, which manages a project-local .venv for
you and is much faster:
uv venv
uv pip install -e . # or `uv sync` when there is a lockfile
uv run python -m yourpkg # runs in the project env without activatingNever put the environment in /tmp, ~/envs, or any other scratch location
outside the project. It is invisible to the user's tooling, it is not what they
will look for, and on /tmp it is deleted out from under them.
PEP 668: "externally-managed-environment"
Homebrew, Debian, and Ubuntu mark the system interpreter as externally managed,
so pip install outside a virtualenv refuses with:
error: externally-managed-environmentThat is the signal to create the project environment — not an obstacle to work
around. Do not pass --break-system-packages, set
PIP_BREAK_SYSTEM_PACKAGES, or delete the EXTERNALLY-MANAGED marker: those
mutate an interpreter the OS owns, leave the project with no environment of its
own, and can break other software on the machine.
Hand off commands the user can run
Write the run instructions against the project environment, so they work from a fresh shell in the project directory:
source .venv/bin/activate
python -m yourpkg ...or, with uv, uv run python -m yourpkg ....
Do not hand back absolute paths into an environment outside the project
(/tmp/whatever/bin/python -m yourpkg). Even when they work right now, they
tell the user their project has no environment of its own.
Respect what is already there
If the project already has an environment or a declared tool — a .venv, a
uv.lock, Poetry, Pipenv, conda — use it rather than introducing a second one.
Check before creating.
© 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 Meta/muse-code/skills/python-env of asgeirtj/system_prompts_leaks.
Open the folder on GitHubat commit f015440
Compare with similar skills
Python Env 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 |
|---|---|---|---|---|---|---|
| Python Env this skillasgeirtj/system_prompts_leaks | 69k | — | ~676 | Automated safety check: Pass | CC0-1.0 | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 13 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Questions about Python Env
What does Python Env do?
Setting up or installing into a Python environment. An agent skill from asgeirtj/system_prompts_leaks. Python Env is an agent skill from asgeirtj/system_prompts_leaks. Setting up or installing into a Python environment.
How do I install Python Env in Claude Code?
Run `npx skills add asgeirtj/system_prompts_leaks --skill python-env -a claude-code`. Or copy the skill folder (Meta/muse-code/skills/python-env in asgeirtj/system_prompts_leaks) into .claude/skills/python-env in your project. Claude Code loads it when a task matches its description.
How do I install Python Env in Codex?
Run `npx skills add asgeirtj/system_prompts_leaks --skill python-env -a codex`. Or copy the skill folder (Meta/muse-code/skills/python-env in asgeirtj/system_prompts_leaks) into .agents/skills/python-env in your project. Codex loads it when a task matches its description.
Can I use Python Env 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 python-env -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-env, .gemini/skills/python-env, .github/skills/python-env and .opencode/skills/python-env in your project.
What does Python Env need to run?
Going by SKILL.md and its folder, Python Env needs the command-line tools its instructions call (uv, pip, python and python3). Our summary lists: Python 3.
Does Python Env access the network?
SKILL.md contains no URLs. Its commands use uv and pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Python Env 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 Python Env use?
Python Env 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 Python Env use?
About 676 tokens (SKILL.md is roughly 2.7k 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 Python Env?
Skills that share tags, products or a category with Python Env: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Env?
asgeirtj (a GitHub user) maintains it in asgeirtj/system_prompts_leaks, which has 69,041 GitHub stars. The repository holds 121 skills in this directory. The repository was last updated on October 6, 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.