llm-testing
✓Testing patterns for LLM-based applications. Use when testing AI/ML integrations, mocking LLM responses, testing async timeouts, or validating structured outputs from LLMs.
Installation
SKILL.md
Test AI applications with deterministic patterns using DeepEval and RAGAS.
| Answer Relevancy | ≥ 0.7 | Response addresses question | | Faithfulness | ≥ 0.8 | Output matches context | | Hallucination | ≤ 0.3 | No fabricated facts | | Context Precision | ≥ 0.7 | Retrieved contexts relevant |
| Mock vs VCR | VCR for integration, mock for unit | | Timeout | Always test with < 1s timeout | | Schema validation | Test both valid and invalid | | Edge cases | Test all null/empty paths | | Quality metrics | Use multiple dimensions (3-5) |
Testing patterns for LLM-based applications. Use when testing AI/ML integrations, mocking LLM responses, testing async timeouts, or validating structured outputs from LLMs. Source: yonatangross/skillforge-claude-plugin.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/yonatangross/skillforge-claude-plugin --skill llm-testing- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is llm-testing?
Testing patterns for LLM-based applications. Use when testing AI/ML integrations, mocking LLM responses, testing async timeouts, or validating structured outputs from LLMs. Source: yonatangross/skillforge-claude-plugin.
How do I install llm-testing?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/skillforge-claude-plugin --skill llm-testing Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/yonatangross/skillforge-claude-plugin
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01