Testing

Show quality metrics for Bernstein runs - success rates per model, lint/test pass rates, completion time distributions.

Capture and review Agent Skill observations, and create, run, diagnose, or iteratively improve Skill evaluations (evals) with the skill-up CLI.

Build, test, and drive iOS apps in the Simulator with 30 token-efficient scripts.

Record browser interactions as video using Playwright.

A committed project-scope skill used by the agent-scan canary to verify that inspect detects skills under <project>/.claude/skills.

Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons.

Build, archive, export, and manage Xcode version/build numbers with asc, including portable iOS compilation and packaging.

Run evaluations on Agent Skills to measure their effectiveness.

Combined codebase health dashboard that scores a project across all four quality dimensions — PR quality, architecture, tech debt, and test quality — in a…

Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly…

Test quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests…

Use when defining ambiguous or high-complexity new features, product behavior, UI/component design, architecture choices, contract changes, or when…

Audit whether tests earn their maintenance cost and which suite owns each contract.

Write tests that pin real behavior instead of implementation details, config values, or lucky samples.

Fast genomic interval operations (overlap, nearest, merge, coverage, cluster, complement, subtract, count-overlaps), multi-format bioinformatics I/O…

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations.

Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods.

Design lean startup experiments (pretotypes) for a new product.

Identify risky assumptions for a feature idea in an existing product across Value, Usability, Viability, and Feasibility.

Create a structured customer interview script with JTBD probing questions, warm-up, core exploration, and wrap-up sections.

Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue.

Run a pre-mortem risk analysis on a PRD or launch plan.

Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each.

The durable documentation set that makes an AI-built (vibe-coded) app reviewable before shipping.