“LLM evaluation”

This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias…

This skill should be used when the user asks to "evaluate LLM output quality", "set up LLM-as-judge", "build an eval rubric", "compare model outputs…

Use when designing or auditing how an LLM or multimodal LLM is evaluated on a clinical task (report generation, VQA, text extraction).

Prompt engineering and LLM evaluation.

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates…

Master LLM-as-a-Judge evaluation techniques including direct scoring, pairwise comparison, rubric generation, and bias mitigation.

Build evaluation frameworks for agent systems.

A.I.G Scanner — AI security scanning for infrastructure, AI tools / skills, AI Agents, and LLM jailbreak evaluation via Tencent Zhuque Lab AI-Infra-Guard.

Evaluate one design or a user-approved maturity-mapped batch through a transparent evidence-based rubric.

This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or…

Runs unit, golden-dataset, and LLM-as-judge tests for a skill.

Evaluate any agent skill against a merged framework — Anthropic's Claude Code best practices plus Matt Pocock's writing-great-skills methodology — across 4…

Provides qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local…

Use when evaluating MCP-enabled agents, tool-using LLM systems, multi-server workflows, tool-selection quality, trajectory quality, task completion, or MCP…

Use Langfuse for LLM observability and evaluation and look up Langfuse documentation.

Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR).

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem…

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or…

Evaluate a Codex skill's routing accuracy and task quality with a human-approved, isolated workflow.

Use for evaluating DSPy programs with Evaluate, answer_exact_match, SemanticF1, custom metrics, baselines, and program comparisons.

LLM & VLM evaluation suite for home security AI applications

Evaluate agent and skill behavior or routing.

Evaluate the reliability of sources and flag conflicts.

Use after completing any non-trivial task.