sotopia: An Open-ended Social Learning Environment (ICLR 2024 spotlight)

by sotopia-lab · Agent Tool · ★ 334

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

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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

Quick Facts

Stars334
Forks50
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score69/100
Open Issues17
Last Updated2026-06-05
Created2023-10-23
Platformspython
Est. Tokens~41487k

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

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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