hannaklim/ai-eval-report
Generates AI quality evaluation reports for LLM and ML-powered products — designs golden datasets, defines accuracy metrics, tracks quality across iterations, and produces stakeholder-ready summaries that explain probabilistic behaviour in business language. Use when evaluating AI or LLM output quality, building an eval framework or golden dataset, benchmarking accuracy between releases or prompt versions, reporting AI quality to clients or executives, or when the user asks "how good is our AI", "accuracy report", "eval results", "benchmark the model", or "why does the AI give different answers to the same question".
80
Quality
100%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Securityby
Passed
No known issues
plugin.json.tessl-plugin/
{
"name": "hannaklim/ai-eval-report",
"description": "Generates AI quality evaluation reports for LLM and ML-powered products — designs golden datasets, defines accuracy metrics, tracks quality across iterations, and produces stakeholder-ready summaries that explain probabilistic behaviour in business language. Use when evaluating AI or LLM output quality, building an eval framework or golden dataset, benchmarking accuracy between releases or prompt versions, reporting AI quality to clients or executives, or when the user asks \"how good is our AI\", \"accuracy report\", \"eval results\", \"benchmark the model\", or \"why does the AI give different answers to the same question\".",
"skills": [
"."
],
"version": "0.1.0"
}