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LLM AI Pipeline Test Review

Agent skill
1 skill

Use when reviewing how an LLM or AI pipeline is evaluated — metric selection, golden datasets, threshold governance, adversarial coverage, and regression gating — to determine whether low-quality or unsafe model outputs can ship undetected. Trigger when a user provides evaluation configuration files, DeepEval or RAGAS test scripts, eval CI steps, or asks whether their AI pipeline actually prevents a bad model from reaching production. This skill reviews evaluation setup statically; it does not call LLM APIs, run evaluations, or contact inference endpoints.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryEngineeringStars0

About this skill

Use when reviewing how an LLM or AI pipeline is evaluated — metric selection, golden datasets, threshold governance, adversarial coverage, and regression gating — to determine whether low-quality or unsafe model outputs can ship undetected. Trigger when a user provides evaluation configuration files, DeepEval or RAGAS test scripts, eval CI steps, or asks whether their AI pipeline actually prevents a bad model from reaching production. This skill reviews evaluation setup statically; it does not call LLM APIs, run evaluations, or contact inference endpoints.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill

This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.

Automated security scan: Partial

Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.

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

Content SHA-256: 287963adbedc099474294844400c223ecf5dd709beee3438a866bb3795ba53c8

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About this listing

Category
Engineering
Reported license
Apache-2.0
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.
LLM AI Pipeline Test Review | Agent Skills Atlas