sotopia — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

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 sotopia-lab · Agent Tool · ★ 323

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About sotopia

Sotopia: an Open-ended Social Learning Environment News [05/2024] Sotopia was presented at ICLR 2024 as a spotlight ⭐! Introduction Sotopia is an open-ended social learning environment that allows

large-language-modelsllm-agentmachine-learningreinforcement-learning-environments

Quick Facts

Stars323
Forks50
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score69.2778923092513/100
Open Issues17
Last Updated2026-06-05
Created2023-10-23
Platformspython
Est. Tokens~41487k

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Frequently Asked Questions

What is sotopia?

sotopia is Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight). It is categorized as a Agent Tool with 323 GitHub stars.

What programming language is sotopia written in?

sotopia is primarily written in Python. It covers topics such as large-language-models, llm-agent, machine-learning.

How do I install or use sotopia?

You can find installation instructions and usage details in the sotopia GitHub repository at github.com/sotopia-lab/sotopia. The project has 323 stars and 50 forks, indicating an active community.

What license does sotopia use?

sotopia is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to sotopia?

The top alternatives to sotopia on Agent Skills Hub include spacy-llm, langkit, awesome-llms-fine-tuning. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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