personalized-podcast — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

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 zarazhangrui · Claude Skill · ★ 434

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

🔒 Is personalized-podcast safe to install? View the security audit →

About personalized-podcast

Personalized Podcast NotebookLM-style AI podcasts, except you control everything. The script. The prompt. The hosts' roles. Their voices. The content they discuss. All of it. A coding agent skill that turns any content into a two-host podcast episode. Paste in text, point it at files, drop a URL. Two AI hosts read your content and have a natural conversation about it. You get an MP3 that plays immediately. Set up an RSS feed and listen in the apps you already use: Apple Podcasts, Spotify, Overcast, Snipd, Pocket Casts. No new app to download. Why this exists Turn anything into a podcast you can listen to on the go. Newsletters, long reads, tweets, research papers, meeting notes. Instead of reading on a screen, you listen to two people break it down while you walk, commute, or cook. Set up the RSS feed once and new episodes show up right where you already listen to podcasts. Know yourself from the outside. This is the unexpected use case. Feed it personal content: your resume, meeting transcripts, journal entries, even your browser history. Then ask the hosts to comment on their impressions of you.

aiclaude-codepodcastrsstext-to-speechtts

Quick Facts

Stars434
Forks58
LanguagePython
CategoryClaude Skill
Quality Score67.8714384294678/100
Last Updated2026-04-08
Created2026-04-03
Platformsclaude-code, python
Est. Tokens~8k

personalized-podcast alternative? Top 6 similar tools

Looking for a personalized-podcast alternative? If you're comparing personalized-podcast with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • telnyx-skills by team-telnyx · ⭐ 150

    Official Telnyx skills for AI coding agents

  • claude-code-video-toolkit by digitalsamba · ⭐ 2.2k

    AI-native video production toolkit for Claude Code

  • zenfeed by glidea · ⭐ 1.7k

    Make RSS 📰 great again with AI 🧠✨!!

  • vllm-mlx by waybarrios · ⭐ 1.6k

    High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuou

  • mysql_mcp_server by designcomputer · ⭐ 1.4k

    A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases

  • ai-skills by sanjay3290 · ⭐ 422

    24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, T

More Claude Skill Tools

Explore other popular claude skill tools:

View all Claude Skill tools →

Popular Python Agent Tools

Frequently Asked Questions

What is personalized-podcast?

personalized-podcast is Turn any content into a personalized AI podcast. NotebookLM-style, except you control the script, voices, and hosts. Listen in Apple Podcasts, Spotify, or any podcast app.. It is categorized as a Claude Skill with 434 GitHub stars.

What programming language is personalized-podcast written in?

personalized-podcast is primarily written in Python. It covers topics such as ai, claude-code, podcast.

How do I install or use personalized-podcast?

You can find installation instructions and usage details in the personalized-podcast GitHub repository at github.com/zarazhangrui/personalized-podcast. The project has 434 stars and 58 forks, indicating an active community.

What are the best alternatives to personalized-podcast?

The top alternatives to personalized-podcast on Agent Skills Hub include telnyx-skills, claude-code-video-toolkit, zenfeed. 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:

View on GitHub → Browse Claude Skill tools