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 fuxiAIlab · Agent Tool · ★ 164
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CivAgent: Large Language Models based Human-like Agent English Moved the project repository to a new location: https://github.com/asdqsczser/CivAgent. CivAgent is an LLM-based Human-like Agent acting as a Digital Player within the strategy game Unciv. The project aims to address the difficulty of players not being able to find human playmates, and seeks to construct a low-cost data flywheel to aid in the research of LLM-based Agents. By deeply integrating Large Language Models (LLMs) with core gameplay, we believe this is exactly an AI Native Game. All glory are attributed to Unciv. Native Unciv: https://github.com/yairm210/Unciv Unciv Wiki: https://civilization.fandom.com/wiki/Unciv Game Client Download (developer version, no Discord chat function): Mac Windows Game Client Download (player version, with Discord chat function, to be released in early August) Unciv We Used (source code): https://github.com/asdqsczser/Unciv/tree/release/fuxiver Paper: https://arxiv.o
| Stars | 164 |
| Forks | 15 |
| Language | Python |
| Category | Agent Tool |
| License | MPL-2.0 |
| Quality Score | 60.7067086634498/100 |
| Open Issues | 3 |
| Last Updated | 2025-03-17 |
| Created | 2024-06-05 |
| Platforms | python |
| Est. Tokens | ~3619k |
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CivAgent is CivAgent is an LLM-based Human-like Agent acting as a Digital Player within the Strategy Game Unciv.. It is categorized as a Agent Tool with 164 GitHub stars.
CivAgent is primarily written in Python. It covers topics such as aiagent, game, llm-agent.
You can find installation instructions and usage details in the CivAgent GitHub repository at github.com/fuxiAIlab/CivAgent. The project has 164 stars and 15 forks, indicating an active community.
CivAgent is released under the MPL-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to CivAgent on Agent Skills Hub include Awesome-LLM-in-Social-Science, palico-ai, WebCanvas. 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.
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