yek — security grade SAFE, quality 75/100

Security audit verdict: SAFE · quality 75/100

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 mohsen1 · LLM Plugin · ★ 2.5k

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

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About yek

A fast Rust based tool to serialize text-based files in a repository or directory for LLM consumption.[^1] By default: Uses rules to skip unwanted files. Uses the Git history to infer what files are more important. Infers additional ignore patterns (binary, large, etc.). Automatically detects if output is being piped and streams content instead of writing to files. Supports processing multiple directories in a single command. Supports glob patterns and individual file selection. Configurable via a file. Yek يک means "One" in Farsi/Persian. Consider having a simple repo like this: Running in this directory will produce a single file and write it to the temp directory with the following content: [!NOTE] will prioritize more important files to come last in the output. This is useful for LLM consumption since LLMs tend to pay more attention to content that appears later in the context. Installation Choose the installation method for your platform: Unix-like Systems (macOS, Linux) For Win

aiclilarge-language-modelsllmrust-langserialization

Quick Facts

Stars2,476
Forks65
LanguageRust
CategoryLLM Plugin
LicenseMIT
Quality Score74.9489970402611/100
Open Issues12
Last Updated2026-06-29
Created2025-01-11
Platformscli, rust
Est. Tokens~24k

Compatible Skills

These tools work well together with yek for enhanced workflows:

  • vllora — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • nexus — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • rust-mcp-schema — semantic(0.27)+complementary+rare_topics+same_lang+shared_platform (49%)

yek alternative? Top 6 similar tools

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

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    The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in pl

  • Unity-MCP by IvanMurzak · ⭐ 4.4k

    AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Effici

  • harbor by av · ⭐ 3.2k

    Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundred

  • ax by ax-llm · ⭐ 3.0k

    The pretty much "official" DSPy framework for Typescript

  • mcp by MicrosoftDocs · ⭐ 1.9k

    Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microso

  • zerostack by gi-dellav · ⭐ 1.7k

    Lightweight coding agent written in Rust, optimized for memory footprint and performance

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Frequently Asked Questions

What is yek?

yek is A fast Rust based tool to serialize text-based files in a repository or directory for LLM consumption. It is categorized as a LLM Plugin with 2.5k GitHub stars.

What programming language is yek written in?

yek is primarily written in Rust. It covers topics such as ai, cli, large-language-models.

How do I install or use yek?

You can find installation instructions and usage details in the yek GitHub repository at github.com/mohsen1/yek. The project has 2.5k stars and 65 forks, indicating an active community.

What license does yek use?

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

What are the best alternatives to yek?

The top alternatives to yek on Agent Skills Hub include ruby_llm, Unity-MCP, harbor. 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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