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 →
by mozilla-ai · MCP Server · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is any-agent safe to install? View the security audit →
any-agent A single interface to use and evaluate different agent frameworks. [!IMPORTANT] is in soft deprecation. It started as a research project to compare agent frameworks and refine a minimal common surface. That distillation has graduated to its own package: (PyPI: ). For new projects we recommend using directly. continues to be published and we'll take security/bug-fix PRs, but no new features are planned. Reach for
| Stars | 1,236 |
| Forks | 100 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.7540784955115/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-21 |
| Created | 2025-03-25 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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any-agent is A single interface to use and evaluate different agent frameworks. It is categorized as a MCP Server with 1.2k GitHub stars.
any-agent is primarily written in Python. It covers topics such as a2a, agent-evaluation, agents.
You can find installation instructions and usage details in the any-agent GitHub repository at github.com/mozilla-ai/any-agent. The project has 1.2k stars and 100 forks, indicating an active community.
any-agent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to any-agent on Agent Skills Hub include solace-agent-mesh, sdk-python, klavis. 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.
Sources & who's responsible: