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    Simplicity Filter (Karpathy Method)

    by Boubacar B

    Claude defaults to complex. This skill does not let that happen. Before your session ships a 400-line solution to a 20-line problem, the simplicity filter stops it and asks: does this actually need to be this complex?

    Updated Jun 2026
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    $10

    · or 50 credits

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    Included in download

    • Prevent scope creep by flagging unrelated file modifications.
    • Identify and remove premature abstractions and speculative code.
    • Instant install

    See it in action

    You say

    /karpathy audit the changes I just made to the auth middleware and user controller.

    Your agent does

    KARPATHY AUDIT

    Principle 1 - Think Before Coding: PASS Principle 2 - Simplicity First: FAIL Evidence: Added generic 'DataWrapper' class in user_controller.rb:14 Action: Remove class; use raw hash to satisfy current task Principle 3 - Surgical Changes: PASS Principle 4 - Goal-Driven Execution: PASS

    VERDICT: HOLD

    • Remove DataWrapper class from user_controller.rb before shipping.

    About This Skill

    The problem

    AI agents often produce bloated code, introduce premature abstractions, or refactor unrelated files during a simple bug fix. This scope creep makes PR reviews difficult and introduces hidden technical debt.

    What it does

    • Evaluates code against four core principles: intentionality, simplicity, surgical precision, and goal-driven verification.
    • Identifies complexity hotspots like N+1 queries, O(n^2) loops, and inefficient React render patterns.
    • Produces a structured PASS/FAIL/WARN scorecard for every code change or proposal.
    • Enforces a strict "HOLD" verdict if any principle is failed, preventing speculative or messy code from shipping.

    Why this beats prompting it yourself

    Manual prompting often yields generic feedback or missing edge cases. This skill follows a rigorous audit protocol with line-level evidence and specific remediation steps that stay consistent across every session. It treats code review as a gate rather than a suggestion.

    Use cases

    • Reviewing a PR before submittal to ensure it only touches relevant files.
    • Auditing AI-generated code to strip out "just in case" abstractions.
    • Scanning for performance bottlenecks in data-heavy loops or UI components.
    • Verifying that a fix actually meets the pre-defined success criteria.

    Known limitations

    Complexity hotspot detection is focused on patterns; it may flag false positives if performance trade-offs were made intentionally without comments.

    Use Cases

    • Prevent scope creep by flagging unrelated file modifications.
    • Identify and remove premature abstractions and speculative code.
    • Detect N+1 queries and inefficient loops in new diffs.
    • Enforce goal-verification before allowing a code ship.

    Reviews

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    Security Scanned

    Passed automated security review

    Permissions

    No special permissions declared or detected

    Tags

    code-review
    clean-code
    performance-audit
    refactoring
    quality-control

    Creator

    Boubacar B

    Frequently Asked Questions

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