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To test library primitives safely, use an isolated scratch workspace to run scripts and observe behaviors without risking production work. This hands-on validation approach captures edge-case findings and generates a documented verdict before integration.

Evaluating a library's surface area involves creating a controlled scratch workspace with runnable primitives. This process tests primitive behaviors, composes workflows, and produces an honest Tutorial.md documenting gotchas and decision rationale for stakeholders.

Create a disposable workspace for hands-on validation by setting up a controlled scratch environment for the target library. Generate runnable primitive scripts and a composition workflow to systematically test behaviors and capture findings.

Yes, you can document edge-case testing outcomes by generating a Tutorial.md file. This document captures an honest verdict on library behavior, outlines gotchas, and records decision rationale to support knowledge transfer for stakeholders.

You need a scratch workspace for library evaluation when pre-integration validation is critical. It isolates runnable primitive scripts to test edge cases and capture honest findings, preventing risky production work before finalizing the integration decision.

A limitation of scratch workspace primitive testing is that it focuses on isolated behaviors rather than full production environments. While it captures honest findings and edge cases, composition workflows may not perfectly replicate complex production interactions.