agentscope-samples — security grade SAFE, quality 58/100

Security audit verdict: SAFE · quality 58/100

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 agentscope-ai · Agent Tool · ★ 336

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

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About agentscope-samples

AgentScope Samples...

Quick Facts

Stars336
Forks94
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score58.2823019862519/100
Open Issues22
Last Updated2026-04-10
Created2025-10-17
Platformscli, python
Est. Tokens~4590k

Compatible Skills

These tools work well together with agentscope-samples for enhanced workflows:

  • AnyTool — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • awesome-ai-apps — semantic(0.29)+complementary+same_lang+shared_platform (45%)

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Frequently Asked Questions

What is agentscope-samples?

agentscope-samples is A collection of ready-to-use Python sample agents built with AgentScope and AgentScope Runtime, covering use cases from CLI tools to full-stack applications.. It is categorized as a Agent Tool with 336 GitHub stars.

What programming language is agentscope-samples written in?

agentscope-samples is primarily written in Python.

How do I install or use agentscope-samples?

You can find installation instructions and usage details in the agentscope-samples GitHub repository at github.com/agentscope-ai/agentscope-samples. The project has 336 stars and 94 forks, indicating an active community.

What license does agentscope-samples use?

agentscope-samples is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to agentscope-samples?

The top alternatives to agentscope-samples on Agent Skills Hub include awesome-android-agent-skills, agent-skills, claude-code-skill-factory. 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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