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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    🔁 Model Migration Checker

    by JustHandled Labs

    2

    Find the model-version coupling that breaks when you swap LLMs. Flags hardcoded model names and versions, deprecated or renamed parameters (the max_tokens to max_completion_tokens class of change), hardcoded token and context-window limits, response-format parsing tied to one model's output, tool-schema format coupling between providers, and hardcoded per-token cost constants. The patterns load from an editable model-rules table you update as new models ship.

    $6

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    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.

    ai-agents
    llm-migration
    python
    javascript
    code-audit

    Details

    How to install

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

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files

    File Scopes

    model-migration-checker/**
    **/*.py
    **/*.js
    **/*.ts
    **/*.json
    **/*.yaml
    **/*.yml

    Match patterns (model-name shapes, deprecated params, known limits) load from an editable references/model-rules.json, so you can update them the moment a new model lands. Reads no environment variables.

    Creator

    JustHandled Labs

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

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