Eval and Quality Gates | Agent Skills Atlas

About this skill

Evaluation strategies and quality gates for LLM systems. LLM-as-judge implementation, prompt regression testing, structural and semantic validation pipelines, production monitoring, guardrails, and metrics that actually work. Use when building evals, setting up CI quality gates, testing prompts, measuring output quality, detecting regressions, or adding safety guardrails to AI applications.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: dc224638a1e5cf6ea9e6de9d44fdf4ecfdaae5f65fca739abab0c8ea5fd20b14

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Original listing metadata

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eval-and-quality-gates

Original description

About this listing

Category: Engineering
Reported license: Not specified
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.