Create isolated sandbox environments for phased AI agent experimentation.
npx skills add https://github.com/rfxlamia/claude-skillkit --skill tinkering
Please help me install this Agent Skill. Skill: tinkering Source: https://github.com/rfxlamia/claude-skillkit/tree/main/skills/tinkering Command: npx skills add https://github.com/rfxlamia/claude-skillkit --skill tinkering
Safe experiments, fast learning, no pollution.
Start a tinkering session by creating a sandbox directory, adding a MANIFEST.md, and documenting a hypothesis.
High-intent search queries and answers about installing and using this skill.
A sandbox environment isolates AI agent experiments from the main codebase. It enforces a phased workflow—setup, hypothesize, experiment, evaluate, graduate or discard, cleanup—restricting changes to the sandbox directory until graduation.
The experimentation workflow involves six phases: setup sandbox, hypothesize, experiment, evaluate, graduate or discard, and cleanup. You start by creating a sandbox directory, adding a MANIFEST.md, and documenting a hypothesis.
Use a sandbox environment when an agent needs to try uncertain approaches, compare multiple options, or perform spikes before committing to production. It applies to scenarios requiring risk-free experimentation without main codebase pollution.
Start a tinkering session by creating a sandbox directory, adding a MANIFEST.md file, and documenting a hypothesis. This initializes the isolated environment for testing uncertain approaches without affecting production.
The main limitation is that changes are restricted to the sandbox until graduation. This means tested ideas cannot affect the main codebase until explicitly evaluated and graduated, requiring a formal cleanup phase for discarded experiments.
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