Results for “eval-gate”
8 skillsevaluation
Build evaluation frameworks for agent systems with deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, and outcome measurement.
16.9k · bundle
dynamic-workflow-mode
Design task-local harnesses, eval gates, and reusable skill extraction for adaptive agent workflows.
226k
More results
continuous-agent-loop
Provides patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
226k
agent-platform-eval-flywheel
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.
14.4k · bundle
eval
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
20.4k
eval-harness
Provides a formal evaluation framework for Claude Code sessions, implementing eval-driven development (EDD) principles to define pass/fail criteria, measure reliability with pass@k metrics, and create regression test suites.
226k
harness-engineering
Designs autonomous agent harnesses with locked evaluators, editable surfaces, durable logging, novelty gates, pruning, rollback, and human approval boundaries.
16.9k
mle-workflow
Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.
226k