agentsframework-eval-probe
CommunityAdd and maintain a continuous-evaluation PROBE for LLM-calls in any repository.
Authorrajnishkhatri
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows for the integration of a continuous-evaluation PROBE into any repository, ensuring ongoing assessment and improvement of LLM-calls within the system.
Core Features & Use Cases
- Continuous Evaluation: Monitor and evaluate LLM-calls in real-time to detect issues early.
- Tiered Probes: Implement different levels of probes (L1, L2, L3) to handle different types of evaluation and data analysis.
- Use Case: Utilize this Skill in a software development environment to ensure the reliability and accuracy of LLM-calls within your application, such as an AI agent or chatbot.
Quick Start
Deploy the agentsframework-eval-probe Skill into your repository to automatically begin monitoring and evaluating LLM-calls.
Dependency Matrix
Required Modules
python
Components
scriptsreferences
💻 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: agentsframework-eval-probe Download link: https://github.com/rajnishkhatri/AgentsFramework/archive/main.zip#agentsframework-eval-probe Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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