arabic-agent-eval
CommunityBenchmark Arabic tool-calling for LLMs.
AuthorMoshe-ship
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Evaluates how effectively LLMs handle Arabic tool calling, providing a repeatable benchmark to measure capability and reliability.
Core Features & Use Cases
- Comprehensive Arabic-tool-calling evaluation across dialects and datasets.
- Structured reporting with cross-model comparisons and error analysis.
- Use Case: researchers benchmark new models to identify gaps in Arabic prompt handling and function invocation.
Quick Start
Run a full Arabic-agent-eval benchmark to compare tool calling across models.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: arabic-agent-eval Download link: https://github.com/Moshe-ship/mkhlab/archive/main.zip#arabic-agent-eval Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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