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 dahlia · Agent Tool · ★ 84
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Yoyak: An LLM-powered CLI tool for summarizing web pages ======================================================== [![Demo session][Demo session thumbnail]][Demo session] This is a small CLI tool that uses LLM to summarize and translate web pages. [Demo session thumbnail]: https://asciinema.org/a/706701.svg [Demo session]: https://asciinema.org/a/706701 Installation We distribute the official executables for Linux, macOS, and Windows. You can download them from the [releases page]. Or if you have [Deno] installed on your system, you can install this program by running the following command: bash deno install -gENRSW jsr:@hongminhee/yoyak/cli [releases page]: https://github.com/dahlia/yoyak/releases [Deno]: https://deno.com/ Usage At very first, you need to set the model you want to use. You can do this by running the following command (see also supported models below): bash yoyak set-model gemini-2.5-flash It asks for the API key via the standard input, and stores it in configuration file.
| Stars | 84 |
| Forks | 9 |
| Language | TypeScript |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 58.7939731228922/100 |
| Last Updated | 2026-03-23 |
| Created | 2025-02-05 |
| Platforms | browser, cli, node |
| Est. Tokens | ~17k |
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yoyak is An LLM-powered CLI tool for summarizing web pages. It is categorized as a Agent Tool with 84 GitHub stars.
yoyak is primarily written in TypeScript. It covers topics such as cli, llm, summary.
You can find installation instructions and usage details in the yoyak GitHub repository at github.com/dahlia/yoyak. The project has 84 stars and 9 forks, indicating an active community.
yoyak is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to yoyak on Agent Skills Hub include jta, AutoRedTeam-Orchestrator, mcp-server-atlassian-bitbucket. 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.
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