by kaya70875 · Agent Tool · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install ytfetcherTaken from the project's README on GitHub.
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.
| Stars | 90 |
| Forks | 12 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 64/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-04 |
| Created | 2025-07-12 |
| Platforms | browser, python |
| Est. Tokens | ~18k |
YTFetcher ⚡ Build structured YouTube datasets for NLP, ML, sentiment analysis & RAG in minutes. A python tool for fetching thousands of videos fast from a Youtube channel along with structured transcripts and additional metadata. Export data easily as CSV, TXT, or JSON.
These tools work well together with ytfetcher for enhanced workflows:
Looking for a ytfetcher alternative? If you're comparing ytfetcher with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
OpenClaw skill for scraping any URL using the Decodo Web Scraping API.
AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while pr
The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch tra
🚀 A list of Haystack Integrations, maintained by the community or deepset.
A self-healing scraper for hostile sites: broken selectors repair themselves, browser rendering kicks in when
A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
Explore other popular agent tool tools:
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: