ai-playground: Code from tutorials presented on the Code AI with Rok YouTube channel

by rokbenko · Agent Tool · ★ 321

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

Security audit verdict: SAFE · quality 55/100

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.

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Quick Facts

Stars321
Forks84
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score55/100
Open Issues3
Last Updated2026-04-23
Created2023-11-07
Platformsgemini, python
Est. Tokens~10182k

About ai-playground

Code from YouTube channel Code AI with Rok Found something awesome here? Star this repo and help me hit 325 ⭐! Why am I using AI voiceover? Want to support me? 📚 Table of contents 📚 Click to expand LLM providers OpenAI Google Frameworks LlamaIndex Agents LangGraph CrewAI [Fetch.ai](https://github.com/rokbenko/ai-play

Compatible Skills

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

  • full-stack-ai-agent-template — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • eval-view — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • crewAI-tools — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • langchain-agent-skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • youtube-connector-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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