AI Agent Testing & Evaluation Bundle

AI Agent Testing & Evaluation Bundle is a five-skill toolkit for debugging, evaluating, and validating AI-agent behavior.

Instead of treating agent failures as isolated incidents, these workflows help turn raw runs, traces, datasets, and external content into structured evidence that can be compared, reproduced, tested, and reviewed.

The bundle includes:

AI Agent Run Diff & Comparison Compare two agent runs and identify meaningful behavioral differences using evidence from the runs themselves. AI Agent Regression Test Builder Turn a failed or suspicious agent trace into a bounded reproduction plan and reusable regression-test fixture. AI Dataset Provenance & Release Gate Check dataset lineage, rights evidence, deduplication, leakage risk, and release readiness before publication or downstream use. AI Eval Dataset Builder Build deterministic, sealed evaluation packs with recomputable expected results and manifests for repeatable testing. Untrusted Content Analysis for AI Agents Capture and inspect external content while keeping embedded instructions separate from trusted authority, useful for prompt-injection and agent-security workflows. What this bundle helps with

Use it to:

debug changes between agent versions investigate failed agent runs convert failures into regression tests build repeatable AI evaluations improve evaluation reproducibility inspect dataset provenance and release readiness reduce accidental benchmark leakage analyze potentially adversarial or instruction-bearing content create clearer evidence for QA and review

These are workflow skills rather than application-specific scripts, so they can be adapted across different agent stacks, models, coding environments, and evaluation pipelines.

Built for people working on AI agents, LLM evaluation, agent QA, regression testing, dataset quality, prompt-injection analysis, and AI reliability.

5 skills. One workflow: capture evidence, compare behavior, reproduce failures, build evaluations, and verify what you ship.