whisper-subtitles — security grade SAFE, quality 38/100

Security audit verdict: SAFE · quality 38/100

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 JimLiu · Agent Tool · ★ 348

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

🔒 Is whisper-subtitles safe to install? View the security audit →

Featured in: Meeting Tools & Transcription

About whisper-subtitles

Apple PodCast Transcription with OpenAI's Whisper This notebook will guide you through the transcription of a Apple PodCast using Whisper.

Quick Facts

Stars348
Forks42
LanguageJupyter Notebook
CategoryAgent Tool
LicenseMIT
Quality Score37.5949432329724/100
Open Issues5
Last Updated2023-12-03
Created2023-03-25
Est. Tokens~15k

whisper-subtitles alternative? Top 6 similar tools

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Frequently Asked Questions

What is whisper-subtitles?

whisper-subtitles is Apple PodCast Transcription with OpenAI's Whisper. It is categorized as a Agent Tool with 348 GitHub stars.

What programming language is whisper-subtitles written in?

whisper-subtitles is primarily written in Jupyter Notebook.

How do I install or use whisper-subtitles?

You can find installation instructions and usage details in the whisper-subtitles GitHub repository at github.com/JimLiu/whisper-subtitles. The project has 348 stars and 42 forks, indicating an active community.

What license does whisper-subtitles use?

whisper-subtitles is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to whisper-subtitles?

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