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 expectedparrot · Agent Tool · ★ 497
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is edsl safe to install? View the security audit →
Expected Parrot Domain-Specific Language (EDSL) EDSL makes it easy to conduct computational social science and market research with AI. Use it to design and run surveys and experiments with many AI agents and large language models at once, or to perform complex data labeling and other research tasks. Results are formatted as specified datasets that can be replicated at no cost, and come with built-in methods for analysis, visualization and collaboration. Getting started Run to install the package. See instructions. Create an account to run surveys at the Expected Parrot server and access a universal remote cache of stored responses for reproducing results. Choose whether to use your own keys for language models or get an Expected Parrot key to access all available models at once. Securely manage keys, expenses and usage for your team from your account. Run the <a href="htt
| Stars | 497 |
| Forks | 85 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.9987228427722/100 |
| Open Issues | 49 |
| Last Updated | 2026-09-23 |
| Created | 2024-01-02 |
| Platforms | python |
| Est. Tokens | ~15k |
Looking for a edsl alternative? If you're comparing edsl with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek,
Ship RAG based LLM web apps in seconds.
Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic
A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
Explore other popular agent tool tools:
edsl is Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.. It is categorized as a Agent Tool with 497 GitHub stars.
edsl is primarily written in Python. It covers topics such as anthropic, data-labeling, deepinfra.
You can find installation instructions and usage details in the edsl GitHub repository at github.com/expectedparrot/edsl. The project has 497 stars and 85 forks, indicating an active community.
edsl is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to edsl on Agent Skills Hub include SimplerLLM, autollm, palico-ai. 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: