zdk/rm-safely — 'rm' safely – a safety net for rm

Description and use

**Brief Summary (2‑3 sentences)**
zdk/rm‑safely is a lightweight shell‑based wrapper that adds a safety net around the Unix rm command, preventing accidental deletion of important files. By intercepting delete operations and offering confirmation, backup, or recovery options, it helps developers and system administrators avoid costly data loss. The project is open‑source, actively maintained (last update 2026‑05‑12) and already has a modest community presence (87 ★).

**Value Proposition**

• **Safety first** – Provides an extra layer of protection for a notoriously dangerous command, reducing human error without requiring changes to existing workflows.
• **AI‑ready scaffolding** – Although the core is a shell script, the repository exposes clear API/CLI hooks that can be extended with AI‑driven decision logic (e.g., context‑aware prompts, RAG‑based file‑importance scoring).
• **Rapid prototyping** – Teams can quickly prototype AI‑enhanced file‑management assistants or integrate the tool into larger DevOps pipelines, leveraging the existing implementation signals (API, SDK, language metadata).

**Practical Adoption Path**

1. **Evaluate** – Clone the repo and run the provided CLI on a test machine; the implementation signals (API/CLI) make it easy to script or wrap in CI pipelines.
2. **Integrate** – Replace direct rm calls with rm‑safely (or alias it) in scripts, CI jobs, or developer environments.
3. **Extend** – Hook into the exposed CLI or SDK to add AI‑based confirmation dialogs, policy checks, or automatic backup creation.
4. **Test & Harden** – Run unit and integration tests in a staging environment, verify that the safety mechanisms behave as expected under edge cases (wildcards, recursive deletes, permission errors).

**Production Readiness**

• **Maturity** – Medium. The tool is functional and recent (updated today), but it has a small contributor base (1 fork) and limited production‑grade testing.
• **Dependencies** – Pure shell; minimal external dependencies, which eases containerization and audit.
• **Maintenance** – Requires a brief review of the license, security posture, and long‑term maintainer commitment before committing to critical production workloads.
• **Recommendation** – Suitable for internal tooling, prototypes, or as a safety layer in non‑mission‑critical environments. For high‑availability production use, perform a security audit, add automated regression tests, and consider a fallback plan (e.g., snapshot or version‑controlled backups).

Problem

zdk/rm-safely helps add AI capability without starting from a blank model stack.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

'rm' safely – a safety net for rm

Source