by inclusionAI · MCP Server · ★ 320
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install aenvironment
Taken from the project's README on GitHub.
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.
| Stars | 320 |
| Forks | 37 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69/100 |
| Open Issues | 14 |
| Last Updated | 2026-07-10 |
| Created | 2025-12-16 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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.
Looking for a AEnvironment alternative? If you're comparing AEnvironment with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7*
A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scal
A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev
Scalable and extensible reinforcement learning for LM agents.
A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integrati
A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
Explore other popular mcp server tools:
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: