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 WooooDyy · Agent Tool · ★ 8.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LLM-Agent-Paper-List safe to install? View the security audit →
The Rise and Potential of Large Language Model Based Agents: A Survey 🔥 Must-read papers for LLM-based agents. 🏃 Coming soon: Add one-sentence intro to each paper. 🔔 News 🎉 [2025-09-10] Note！You can develop your custom environment to AgentGym and perform RL on it! The tutorial is here. 🍺 [2025-09-10] New paper is released on arXiv: AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning. 🚀 [2025-09-10] AgentGym-RL Framework released! We introduce the reinforcement learning (RL) version of AgentGym, enabling agents to learn directly from interactive environments: AgentGym-RL. 👀 [2025/09/03] AgentGym now provides an interactive frontend for visualization. Researchers can replay and inspect full trajectories, step through agent decision-making, and analyze model behaviors more easily. ☄️ [2024/06/07] AgentGym has been released for developing and evolving LLM-based agents across diverse environments! Paper: AgentGym. Project page: https://agentgym.github.io/. Codes: Platform and Implementations. Huggingface resources: AgentTraj-L, [AgentEval](https://hu
| Stars | 8,221 |
| Forks | 499 |
| Category | Agent Tool |
| Quality Score | 53.3162183388619/100 |
| Open Issues | 32 |
| Last Updated | 2025-09-12 |
| Created | 2023-09-12 |
| Est. Tokens | ~247k |
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LLM-Agent-Paper-List is The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.. It is categorized as a Agent Tool with 8.2k GitHub stars.
You can find installation instructions and usage details in the LLM-Agent-Paper-List GitHub repository at github.com/WooooDyy/LLM-Agent-Paper-List. The project has 8.2k stars and 499 forks, indicating an active community.
The top alternatives to LLM-Agent-Paper-List on Agent Skills Hub include agentscope, LLMCompiler, MaxKB. 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: