tidy-skill
An open-source skill for AI agent builders that manages when intermediate artifacts are created, how far they persist, and when they should be cleaned up.
Tool overview
Based on the available evidence, tidy-skill is best understood as a lightweight governance skill or convention for agent workflows, not a full AI agent platform, memory system, or general automation framework. Its stated focus is making artifacts intentional, scoped, and disposable, so the value proposition is workflow hygiene rather than core model performance.
In practice, it appears to act like a layer of artifact hygiene rules for agents: what should be written out, how long it should remain, whether it should be cleaned up, and how temporary traces stay separate from final outputs. For developers running multi-step agent tasks that generate drafts, caches, temp files, or intermediate conclusions, that can help reduce repository clutter, context noise, and maintenance overhead. A more accurate analogy is “artifact hygiene for agents,” not a project management app or a RAG knowledge-base product.
On barriers and cost, the current evidence is limited to the GitHub repository page, which supports that it is open source and has around 20 GitHub stars. There is not enough evidence to claim a polished installation flow, stable API, hosted service, or commercial pricing.
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