deepeval

Name: deepeval
Rating: 5 (1 reviews)
Author: EvXata

A BCG-calibrated evaluation framework for LLM agent outputs, featuring a Claude-native judge and a 4-tier stack. It includes an 8-dimension BCG rubric, a 10-signal novelty stack, and an adversarial Skeptic Agent, designed for daily, weekly, or 30-day cadences and integrable into any Claude Code project without API keys.

1stars

Updated 21 days ago

View on GitHub ↗License: MIT

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#llm #api

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DeepEval — Claude-native MBB-Grade Quality Framework

This skill scores any LLM-generated artifact against an MBB-grade rubric (BCG-calibrated). It works in any Claude Code project. No external API keys, no vendor SDKs. Claude itself is the judge.

Three core promises

Tier stack: deterministic → heuristic → Claude judge → human, by cost/latency budget.
BCG-calibrated rubric — 8 dimensions, 1–3 scale, verbatim BCG anchor language.
**Day/Week/30-day cadence on

[Description truncada. Veja o README completo no GitHub.]

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