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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    🔁 Model Migration Checker

    2

    The Model Migration Checker is a specialized audit tool designed for developers who need to identify migration risks before they hit production errors.

    $6

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    • Delivered live to your agent via MCP
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    🔁 Model Migration Checker

    🔁 Model Migration Checker

    Example session with this skill installed

    Scan my project for hardcoded model versions or legacy parameters before I migrate to the new Claude 3.5 Sonnet.

    • Read your context and instructions
    • Compiled the model migration checker

    Migration Audit Report

    • MMC001 (High): Found 'gpt-4-0613' in services/openai_client.py:42
    • MMC003 (Med): Hardcoded 4096 token limit in utils/tokenizer.ts:12
    • MMC006 (Low): Pricing constant ($0.03/1k) detected in billing/calculator.js:8
    • Recommendation: Abstract model strings to env vars.
    $6/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP (optional)

    What you get

    Scan codebases for hardcoded LLM model names and versionsIdentify deprecated API parameters and legacy token limit assumptionsDetect rigid response-parsing logic that risks breaking after a model swapFind hardcoded per-token pricing constants in billing modules

    About this skill

    Automate LLM Model Migrations

    Upgrading your codebase to a newer LLM model (e.g., GPT-4 to GPT-4o, or Claude 3 to 3.5) often breaks logic due to hardcoded version strings, deprecated API parameters, or legacy token limits. The Model Migration Checker is a specialized audit tool designed for developers who need to identify migration risks before they hit production errors.

    What it does

    This skill scans your repository (Python, JavaScript, TypeScript, and config files) to detect six critical categories of model coupling:

    • Hardcoded Models: Specific version strings nested in API calls.
    • Deprecated Parameters: Arguments no longer supported by modern provider SDKs.
    • Context Assumptions: Legacy token limits or hardcoded context window sizes.
    • Coupling: Rigid response-parsing logic or function-calling schemas that break with model output variations.
    • Cost Constants: Hardcoded pricing data used for internal usage tracking.

    Why use this skill

    Unlike a generic AI prompt, this skill uses a structured heuristic engine to catch "silent failures" that a human or a standard LLM call might overlook. It provides a technical audit trail with specific rule IDs and severity levels, allowing you to systematically clear blockers before a model swap. It ensures your infrastructure is model-agnostic and resilient to future provider updates.

    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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