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Tag: diff view (built‑in mod)

  • AI Tools: Mods will 10x your Claude Code. Master it in 16 minutes

    Watch on YouTube: https://www.youtube.com/watch?v=MDwCtwPfFGM

    Channel: Nick Puru | AI Automation

    Introduction

    The video from Nick Puru | AI Automation explains how Claude Code mods let you tailor the assistant’s look and behavior using plain‑language prompts, eliminating the need to write code yourself. It demonstrates three practical safety‑and‑visibility mods, shows how to persist them across sessions, and outlines the security considerations that come with giving mods full system access.

    What the video covers

    The presentation begins with a brief overview of what a Claude Code mod is: a small piece of code generated by describing a desired change in natural language. The creator then walks through three example mods that address common workflow concerns:

    • A deletion‑protection safety net that intercepts delete commands and asks for confirmation.
    • A confirmation step before sending messages or emails via connected apps such as Gmail, Slack, or Teams.
    • A receipt panel that surfaces the tools Claude used, web pages searched, and files read after each answer.

    Beyond the demos, the video explains how to save a mod for the current session only or make it load automatically in every new session, how to validate a mod’s capabilities without executing it, and what to do if a mod behaves unexpectedly. The presenter also mentions a free School community where the demonstrated mods and a course on growing an AI agency to $10 k/month are available.

    Step‑by‑step walkthrough of the three示例 mods

    • Deletion‑protection mod – You prompt Claude to watch for any delete operation (e.g., rm, file‑trash commands) and to insert a confirmation dialog before the action proceeds. The mod runs right before the actual deletion, giving you a chance to abort.
    • Confirmation‑before‑sending mod – By describing a rule such as “always ask for confirmation before sending an email, Slack message, or Teams message,” Claude generates a mod that intercepts the send request, shows a prompt, and only forwards the message after you approve.
    • Receipt mod – You ask Claude to create a panel that appears after each answer, listing the web pages consulted, files read, and tool calls made. This receipt helps you audit what Claude accessed and provides transparency for compliance or debugging.

    Each mod is created by typing a plain‑language request into Claude Code, letting the assistant generate the underlying code, and then testing the behavior in either the terminal or the Claude Code desktop tab.

    Tools, numbers and validation

    The video cites several figures to contextualize the Claude Code ecosystem:

    • The launch post for Claude Code garnered 800 k views initially and later reached 4 M views.
    • Claude Code was released on October 1.
    • An audit of 4 000 skills found that over a third had security issues.
    • The agency‑growth course promoted in the video targets $10 k per month.
    • The target year for widespread AI adoption mentioned is 2026.

    Key tools and commands highlighted:

    • Claude plugin validate – runs a safety check that lists what a mod can trigger (file reads, program execution, network access) without actually executing it.
    • Built‑in mods such as the diff view and the “You Should Know” parallel agent are mentioned as examples of what mods can add.
    • Safe mode and hot reboot are presented as ways to disable mods temporarily or enable a mod for the current session only.
    • The video notes that mods are not sandboxed; they run with full access rights, meaning they can read files, run programs, and access the internet.

    Caveats and hype check

    Because mods operate with unrestricted privileges, the presenter stresses the importance of validating any third‑party mod before enabling it. A quote from the video captures this risk:

    Mods are not sandboxed, so there are no restrictions or barriers around them.

    The video also cautions against downloading mods from unknown sources, recommending instead that users ask Claude to write custom mods tailored to their own workflow.

    The promotional segment for the free School community and the agency‑growth course includes a revenue claim of $10 k per month. The notes label this as a hype check: the claim is marketing material and has not been independently verified.

    Concrete next actions

    To apply what you’ve learned, consider the following steps:

    • Update Claude Code to the latest version to ensure mod compatibility.
    • Create a deletion‑protection mod by prompting Claude to intercept delete commands and request confirmation.
    • Test a confirmation‑before‑sending mod for email, Slack, or Teams using the same prompt pattern.
    • Build a receipt mod that shows web pages searched, files read, and tool calls after each answer.
    • Ask Claude to save any useful mod so it loads automatically in every new session.
    • Run Claude plugin validate on any mod you download from the internet to inspect its capabilities before enabling it.
    • Join the free School community via the link in the video description to access the demonstrated mods and the agency‑growth course.
    • If you prefer not to use third‑party mods, continue writing your own mods with Claude to keep full control over security and functionality.
    • For those interested in scaling an AI agency, schedule a quick call with the Reprise team mentioned in the video.