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 Belkins · MCP Server · ★ 365
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-dive-deep safe to install? View the security audit →
Vlad's Playbook The Ultimate AI Dive Deep A 45-chapter operator field manual where every artifact is live, clickable, and forwardable. → Read it: dive.vladyslavpodoliako.com ← The thesis: HTML-ization Stop sending dead files. Every report, pitch, audit, deck, and analysis ships as a live interactive HTML artifact on a deployed link — not a PDF attachment that started rotting the second it was exported. The link is current because the repo is. People forward links; they archive PDFs unread. This repo is the proof. The book about building this kind of artifact is, itself, this kind of artifact — a private GitHub repo deployed to a public link, updated by commit, with two real interactive case studies embedded and clickable inside it. → Read the thesis + click the embeds: dive.vladyslavpodoliako.com/html-first Read it (the site is the book) The repo is how it's built. The site is what it IS. What's the
| Stars | 365 |
| Forks | 1 |
| Language | Astro |
| Category | MCP Server |
| Quality Score | 60.6590752333207/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-17 |
| Created | 2026-05-07 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~17k |
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ai-dive-deep is Vlad's Playbook — a 48-chapter operator field manual where every artifact is live, clickable, and forwardable. 31 interactive widgets, a self-updating AI radar, hand-verified model leaderboards, embed. It is categorized as a MCP Server with 365 GitHub stars.
ai-dive-deep is primarily written in Astro. It covers topics such as agent-orchestration, agentic-coding, ai-agents.
You can find installation instructions and usage details in the ai-dive-deep GitHub repository at github.com/Belkins/ai-dive-deep. The project has 365 stars and 1 forks, indicating an active community.
The top alternatives to ai-dive-deep on Agent Skills Hub include agent-skills, orchestkit, AnvilWiki. 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: