oreilly-ai-agents: An introduction to the world of AI Agents

by sinanuozdemir · MCP Server · ★ 322

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

Security audit verdict: CAUTION · quality 67/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

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.

agentagentic-aiagentsaiautogenclaudecrewaideepseekdeepseek-r1generative-ai

Quick Facts

Stars322
Forks233
LanguageJupyter Notebook
CategoryMCP Server
Quality Score67/100
Open Issues7
Last Updated2026-07-10
Created2024-07-22
Platformsclaude-code, mcp
Est. Tokens~17k

About oreilly-ai-agents

AI Agents A-Z This repository contains code for both my live course: O'Reilly Live Online Training for AI Agents A-Z and my video series: Modern Automated AI Agents: Building Agentic AI to Perform Complex Tasks This course provides a comprehensive guide to understanding, implementing, and managing AI agents both at the prototype stage and in production.

Compatible Skills

These tools work well together with oreilly-ai-agents for enhanced workflows:

  • Roy — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop (52%)
  • Hail_Hydra — semantic(0.24)+complementary+similar_pop+shared_platform (48%)
  • Agent-Wiz — semantic(0.24)+complementary+rare_topics+similar_pop (47%)
  • dive-into-langgraph — semantic(0.19)+complementary+same_lang+similar_pop (47%)

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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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