by xonsh · Claude Skill · ★ 9.7k
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🔒 Is xonsh safe to install? View the security audit →
xonsh ===== .. raw:: html Xonsh is a Python-powered shell. Full-featured, cross-platform and AI-friendly. The language is a superset of Python 3 with seamless integration of shell functionality and commands. The name Xonsh should be pronounced like "consh" — a softer form of the word "conch" (🐚, ), referring to the world of command shells. .. raw:: html .. list-table:: :widths: 1 1 - Xonsh is the Shell Xonsh is Python - .. code-block:: shell cd $HOME id $(whoami) /id.txt cat /etc/passwd | grep root $PROMPT = '@ ' .. code-block:: python 2 + 2 var = "hello".upper() @.imp.json.loads('{"a":1}') [i for i in range(0,10)] - Xonsh is the Shell in Python Xonsh is Python in the Shell - .. code-block:: python len($(curl -L https://xon.sh)) $PATH.append('/tmp') p'/etc/passwd'.readtext().find('usr') $(@json podman ps --format json)['ID'] .. code-block:: python name = 'snail' echo @(name) /tmp/@(name) with p'/tmp/dir'.mkdir().cd(): touch @(input('File: ')) aliases['e'] = 'echo @(2+2)' aliases['a'] = lam
No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
| Stars | 9,669 |
| Forks | 749 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 52.5195766896698/100 |
| Open Issues | 79 |
| Last Updated | 2026-10-14 |
| Created | 2015-01-21 |
| Platforms | claude-code, python, vscode |
| Est. Tokens | ~15k |
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xonsh is 🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.. It is categorized as a Claude Skill with 9.7k GitHub stars.
xonsh is primarily written in Python. It covers topics such as anthropic, claude, claude-code.
You can find installation instructions and usage details in the xonsh GitHub repository at github.com/xonsh/xonsh. The project has 9.7k stars and 749 forks, indicating an active community.
The top alternatives to xonsh on Agent Skills Hub include Anthropic-Cybersecurity-Skills, claude-code-guide, Unity-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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