System-level evaluation framework for multi-stage LLM pipelines. Scores the pipeline as a whole across 8 dimensions — input quality, output quality, prompt design, input-coverage %, sequence optimality, parallelization, fact-grounding, and self-improvement feedback. Complements deepeval (which scores single content artifacts) by scoring the pipeline architecture itself. Trigger when user types /pipeeval- commands or asks to "evaluate the pipeline", "audit the agent system", "find bottlenecks", "check input/output coverage", or works with pipeline.json / n8n workflows / multi-agent orchestrations. Use proactively after /deepeval-run if the user wants system-level (not artifact-level) findings. Also triggers on the short aliases /eval2 (prompt-design audit, same as /pipeeval-prompt) and /eval3 (full end-to-end pipeline eval, same as /pipeeval-full).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryAutomation & workflowsStars0
About this skill
System-level evaluation framework for multi-stage LLM pipelines. Scores the pipeline as a whole across 8 dimensions — input quality, output quality, prompt design, input-coverage %, sequence optimality, parallelization, fact-grounding, and self-improvement feedback. Complements deepeval (which scores single content artifacts) by scoring the pipeline architecture itself. Trigger when user types /pipeeval- commands or asks to "evaluate the pipeline", "audit the agent system", "find bottlenecks", "check input/output coverage", or works with pipeline.json / n8n workflows / multi-agent orchestrations. Use proactively after /deepeval-run if the user wants system-level (not artifact-level) findings. Also triggers on the short aliases /eval2 (prompt-design audit, same as /pipeeval-prompt) and /eval3 (full end-to-end pipeline eval, same as /pipeeval-full).
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System-level evaluation framework for multi-stage LLM pipelines. Scores the pipeline *as a whole* across 8 dimensions — input quality, output quality, prompt design, input-coverage %, sequence optimality, parallelization, fact-grounding, and self-improvement feedback. Complements `deepeval` (which scores single content artifacts) by scoring the pipeline architecture itself. Trigger when user types `/pipeeval-*` commands or asks to "evaluate the pipeline", "audit the agent system", "find bottlenecks", "check input/output coverage", or works with pipeline.json / n8n workflows / multi-agent orchestrations. Use proactively after `/deepeval-run` if the user wants system-level (not artifact-level) findings. Also triggers on the short aliases /eval2 <prompt-or-pipeline> (prompt-design audit, same as /pipeeval-prompt) and /eval3 <pipeline.json> (full end-to-end pipeline eval, same as /pipeeval-full).
About this listing
Category
Automation & workflows
Reported license
MIT
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.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI