Production Safe AI Guardrails

    1

    Enforce safety guardrails to prevent AI agents from performing irreversible production or database actions without approval.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+18 more

    Production Safe AI Guardrails

    Example session with this skill installed

    I need you to fix the bug in the auth flow and then deploy the fix to Vercel and push the changes to the main branch.

    • Read your context and instructions
    • Compiled the production safe ai

    I have prepared the fix. Before proceeding, I need your permission for:

    1. Pushing to 'main' branch.
    2. Deploying to Vercel production.
      Risk: This will update the live site. Rollback: Git revert the commit.
      Shall I proceed?

    Connects securely to your tools. The creator never sees your data.

    What you get

    Protect production branches from unauthorized AI git pushes.Prevent accidental deletion or modification of database tables and rows.Secure environment variables and API keys from being changed autonomously.Enforce a human-in-the-loop checkpoint for all cloud deployments.

    About this skill

    The problem

    AI agents often execute irreversible commands like force-pushes, database migrations, or production deployments without waiting for a human review. One wrong autonomous move can wipe a database or break a live site.

    What it does

    • Enforces a strict permission layer for high-risk actions like git pushes and environment variable changes.
    • Permits autonomous read-only operations and local development tasks to keep workflows fast.
    • Requires the agent to explain the specific action, the rationale, and the rollback plan before proceeding.
    • Treats ambiguity or silence as a hard "no" to prevent accidental executions.

    Frameworks & tools

    Works with Git, Vercel, AWS, Supabase, PostgreSQL, and any CLI-based deployment or database tool.

    Why this beats prompting it yourself

    System prompts often drift or get ignored during long sessions. This skill implements a standing protocol that defines clear boundaries between safe and restricted zones, ensuring the agent never "forgets" to ask for permission during a complex deployment or refactor.

    Use cases

    • Preventing accidental pushes to the main branch during a refactor.
    • Guarding Supabase or PostgreSQL schemas against unauthorized AI modifications.
    • Ensuring environment variables and API keys aren't overwritten or leaked.
    • Controlling live deployments to Vercel or AWS via AI agents.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Recently published to Agensi

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    Frequently Asked Questions