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    Works with the AI tools you already use

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

    πŸ“š Reference Grounding Checker

    1

    It eliminates "hallucinated" refactoring plans before they break your build.

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    πŸ“š Reference Grounding Checker

    πŸ“š Reference Grounding Checker

    Example session with this skill installed

    I've drafted a plan to refactor the auth logic. Check this plan against the repo to make sure I haven't referenced any nonexistent functions or files.

    • Read your context and instructions
    • Compiled the reference grounding checker

    Grounding Report

    • Files Checked: 4
    • References Verified: 12
    • Findings:
      • [High] utils/token-helper.ts not found. (Line 12)
      • [Med] Function verifySession() is exported from auth/core.ts, not auth/session.ts as suggested.
    • Suggestion: Update plan lines 12 and 15.

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

    What you get

    Verify file paths and function names in a refactoring plan before executionCatch hallucinated environment variables in deployment scriptsEnsure AI-suggested imports are resolving to existing local modulesAudit automated documentation for accuracy against the live codebase

    About this skill

    What it does

    The Reference Grounding Checker acts as a pre-execution safety layer for AI agents. It scans proposed implementation plans to verify that every file path, function name, import statement, and environment variable mentioned actually exists within your local codebase. It eliminates "hallucinated" refactoring plans before they break your build.

    Why use this skill

    Even advanced LLMs frequently reference non-existent utility functions or assume the presence of configuration variables that aren't there. This skill provides a deterministic check against the ground truth of your file system and source code. It is significantly more reliable than standard prompting because it uses a specialized static analysis scanner to perform hard lookups, rather than relying on the model's memory of the repo.

    Supported tools

    • Languages: Python, JavaScript, TypeScript.
    • Environments: Local repositories, CI/CD pipelines, and agentic workflows like Claude Code or Cursor.
    • Inputs: Markdown plans, text files, or direct chat history.

    Expected Output

    You receive a structured report detailing every reference checked, categorized findings by severity (e.g., Missing File, Unresolved Import), and specific remediation snippets to fix the plan's logic.

    How to install

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

    ~30 seconds
    1. 1

      Download the ZIP

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    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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    Security scanned

    Verified clean 3 months ago

    • Passed all security checks, Safe to install

    Listed3 months ago

    Frequently Asked Questions