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 SalesforceAIResearch · Agent Tool · ★ 636
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xLAM safe to install? View the security audit →
[]() Paper | Key Features | -- Model Instruction | Framework | Installation | <a href="https://
| Stars | 636 |
| Forks | 60 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 61.901189142332/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-02 |
| Created | 2024-02-27 |
| Platforms | python |
| Est. Tokens | ~2504k |
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xLAM is xLAM: A Family of Large Action Models to Empower AI Agent Systems. It is categorized as a Agent Tool with 636 GitHub stars.
xLAM is primarily written in Python. It covers topics such as actionstudio, agents, agentstudio.
You can find installation instructions and usage details in the xLAM GitHub repository at github.com/SalesforceAIResearch/xLAM. The project has 636 stars and 60 forks, indicating an active community.
xLAM is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to xLAM on Agent Skills Hub include llama-cpp-agent, Awesome-AI-For-Security, LLM-Agents-Papers. 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: