AEnvironment: Standardized environment infrastructure for Agentic AI development

by inclusionAI · MCP Server · ★ 320

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install AEnvironment

pip install aenvironment

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars320
Forks37
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score69/100
Open Issues14
Last Updated2026-07-10
Created2025-12-16
Platformsmcp, python
Est. Tokens~16k

About AEnvironment

AEnvironment WeChat (微信) Group | Everything as Environment — A Production-Grade Environment Platform for Agentic RL and Agent 📰 News Deploy Skill (Feb 2026) - 🎉 New Claude Code Skill for automated deployment! Deploy instances and services directly from Claude Code with support for three workflows: local build, existing image, and registered environments.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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.

Sources & who's responsible:

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