freebie accidental data loss sentinel

The problem

Accidental execution of destructive commands can wipe production databases or file systems in seconds. AI agents often follow instructions literally, leading to irreversible data loss during refactors or maintenance.

What it does

• Detects high-risk commands like DROP TABLE, TRUNCATE, and rm -rf before they run.
• Calculates the potential blast radius of broad DELETE or infrastructure removal operations.
• Verifies the existence of recent backups or snapshots before permitting execution.
• Proposes safer alternatives such as dry-runs, soft-deletes, or renaming folders instead of deletion.

Why this beats prompting it yourself

General-purpose LLMs are prone to "helpful" compliance and may execute dangerous scripts to satisfy a user request. This skill acts as a dedicated circuit breaker, enforcing a mandatory pause and impact assessment that generic prompts often bypass under pressure.

Use cases

• Preventing broad SQL deletions without specific WHERE clauses.
• Reviewing recursive file system deletions in deployment scripts.
• Gating cloud infrastructure teardowns in Terraform or CLI tools.
• Enforcing a second-look policy for junior developer database migrations.

Known limitations

Requires the user to manually confirm execution after the safety check. It cannot physically lock a database or filesystem independently of the agent's tool access.