Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    Destructive Git Guard

    by YK

    1

    Prevents AI agents from executing destructive Git or filesystem commands without explicit confirmation and impact analysis.

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    See it in action

    You say

    Clean up my workspace so I can start fresh on the login feature.

    Your agent does

    I've checked the status. Running git clean -fd will permanently delete 4 untracked files including config/secrets.tmp. You have 3 uncommitted changes in auth.ts. Shall I stash these and then run the clean command, or do you explicitly authorize deleting these files permanently?

    What you get

    Prevent accidental deletion of uncommitted work during automated refactoring.Enforce human-in-the-loop confirmation for force pushes and history rewrites.Audit workspace state automatically before any destructive filesystem command.Suggest safer alternatives like git stash instead of hard resets.

    About this skill

    The problem

    AI agents with terminal access can execute destructive commands like git reset --hard or rm -rf, permanently deleting hours of uncommitted work without warning. Standard agents often prioritize efficiency over safety, leading to irreversible data loss in environments without remote backups.

    What it does

    • Intercepts high-risk commands including git reset, checkout, clean, push --force, and rm.
    • Forces a mandatory git status check to audit the working tree before any destructive proposal.
    • Calculates and reports the exact scope of potential data loss to the human operator.
    • Blocks execution until explicit, per-command confirmation is received for the specific action.
    • Recommends non-destructive alternatives like git stash or branch creation before proceeding with deletions.

    Why this beats prompting it yourself

    Simple system prompts for "safety" are often ignored during complex task execution. This skill enforces a specific pre-flight checklist and state-check workflow that makes silent data loss architecturally difficult for the agent.

    Use cases

    • Protecting local-only projects that lack a remote origin or recent commits.
    • Managing agents running in external terminals or CLI wrappers outside of IDE undo-history.
    • Preventing accidental history overwrites during complex rebase or force-push operations.
    • Ensuring untracked files are not nuked during automated workspace cleanup.

    Known limitations

    Requires the agent to have access to standard Git and shell binaries to perform state checks. It cannot prevent data loss if the agent is explicitly instructed by the user to bypass all safety protocols.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    YK
    YK

    5 skills on Agensi

    Building AI developer tools that make coding agents safer and more reliable. Creator of AgentGuard — production-ready AI coding guard skills that help prevent costly development mistakes.

    Frequently Asked Questions

    Popular in Workflow Automation