Agent skill · AI & Agents

llm-evaluation

LLM testing and evaluation tools including promptfoo, trulens, and evals frameworks

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill llm-evaluation-flexnetos-ripple-env --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/ai-llm/llm-evaluation-flexnetos-ripple-env/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LLM Evaluation Skills ## Overview This skill provides expertise in testing, evaluating, and monitoring LLM-based systems for robotics agents and AI assistants. ## promptfoo - LLM Testing Framework promptfoo is a CLI tool for testing and evaluating LLM prompts systematically. ### Installation ```bash # Via npm npm install -g promptfoo # Or via npx (no install) npx promptfoo@latest # Via Nix nix profile install nixpkgs#promptfoo ``` ### Basic Configuration ```yaml # promptfooconfig.yaml description: "Robot command parser evaluation" providers: - openai:gpt-4 - anthropic:claude-3-sonnet-20240229 - ollama:llama2 prompts: - file://prompts/robot_command.txt - | Parse the following user command into a structured robot action: Command: {{command}} Output JSON with: action, target, parameters tests: - vars: command: "Move forward 2 meters" assert: - type: contains-json - type: javascript value: output.action === 'move' - vars: command: "Pick up the red box" assert: - type: contains-json - type: javascript value: output.action === 'pick' && output.target === 'red box' - vars: command: "Navigate to the charging station" assert: - type: llm-rubric value: "The output should identify navigatio

What's inside
Steps it walks through
  1. Overview
  2. promptfoo - LLM Testing Framework
  3. Installation
  4. Basic Configuration
  5. Test Assertions
  6. Running Tests
  7. CI/CD Integration
  8. Robot Command Parser Example
  9. TruLens - LLM App Evaluation
  10. Basic Usage
  11. Custom Feedback Functions
  12. RAG Evaluation
  13. Evaluation Metrics
  14. Standard Metrics
Ships with 1 file
  • metadata.json
Commands it runs
Via npm
npm install -g promptfoo
Or via npx (no install)
npx promptfoo@latest
Via Nix
nix profile install nixpkgs#promptfoo
Run evaluation
promptfoo eval
With specific config
promptfoo eval -c promptfooconfig.yaml
More from claude-skill-registry
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About this skill
What does the llm-evaluation skill do?

LLM testing and evaluation tools including promptfoo, trulens, and evals frameworks

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill llm-evaluation-flexnetos-ripple-env --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going