Premium skill pack

Agent evals that protect behavior, not just output

Build AI SDK Agent Evals inspects an existing agent and leaves a runnable contract for critical journeys, tools, safety, quality, cost, latency, and failure recovery.

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Outcomes

Runnable behavioral contract
Datasets, harnesses, deterministic tests, and live evals that exercise the real agent boundary.
Safe tool trajectories
Approval, denial, tenancy, exit conditions, and destructive tools protected with fakes and hard gates.
Fair prompt and model comparisons
Shared cases, calibrated scorers, metadata, variance, and budgets for decisions that survive reruns.
Local and CI thresholds
Separate offline, live smoke, and full tiers for quality, cost, latency, and regression checks.
One predictable workflow
The skill extends repository conventions and grounds every version-sensitive API in installed types and first-party docs.
  1. 1

    Inspect the installed AI SDK, agent boundary, tests, data, and CI.

  2. 2

    Turn intended behavior and risks into measurable cases and scorers.

  3. 3

    Implement deterministic coverage first, then controlled live evals.

  4. 4

    Run, classify, calibrate, and leave exact local and CI commands.

Move from “seems to work” to measured behavior

Available to Premium individual and Premium team members through a short-lived, skill-bound install command.

Open Premium install