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    VibeShake

    1

    A guardrail that stops coding agents from hallucinating fixes and forces re-verification of actual file states.

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    VibeShake

    VibeShake

    Example session with this skill installed

    You keep telling me you fixed the database connection string in config.js, but the app is still failing to connect with the same error. Stop repeating yourself and actually fix it.

    • Read your context and instructions
    • Compiled the vibeshake

    🚨 DEFENSIVE LOOP DETECTED — re-anchoring to actual file state.

    I previously claimed the connection string in config.js was updated to use the correct port, but I failed to verify the file content after the attempt. I am re-reading config.js now to establish the actual state.

    Verified File State & Correction

    Upon re-reading the file, I see that the DB_PORT was hardcoded in a secondary configuration block that I overlooked in the previous turn.

    // config.js - Actual state as of fresh read
const settings = {
  db: {
    host: process.env.DB_HOST || 'localhost',
    port: 5432, // This hardcoded value is overriding the env variable below
  }
};

const port = process.env.DB_PORT || 5432;

    I am now applying the fix to ensure the environment variable is respected globally:

    // config.js - Verified Fix
const settings = {
  db: {
    host: process.env.DB_HOST || 'localhost',
    port: process.env.DB_PORT || 5432,
  }
};

    Next steps

    1. Run the server again to confirm the connection to the external database.
    2. Verify your .env file contains DB_PORT=6432 if you are using a non-standard port.
    3. Check the logs for the "Database Connected" signal.

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

    What you get

    Break defensive cycles when an agent claims a fix that failed.Force fresh file reads instead of relying on agent memory.Stop agents from blaming the environment for their own coding errors.Improve reliability in long-running debugging sessions.

    About this skill

    Coding agents often fall into a defensive loop when their patches fail, claiming a fix was applied while the error persists. VibeShake acts as a circuit breaker for these hallucination cycles. It forces agents to stop making excuses, admit when their memory conflicts with reality, and re-anchor every claim to a fresh file read.

    What it does

    • Detects defensive patterns by identifying unverifiable fix claims, blame-shifting to environments, and repetitive explanations.
    • Forces explicit admission of the gap between what the agent claimed was done and what the current file state actually shows.
    • Mandates file re-reads to ensure that any proposed fix is based on the actual code on disk, not the agent's internal chat history.
    • Blocks apology loops and theoretical justifications, replacing polite noise with verified technical signals.
    • Validates change claims by requiring every suggested edit to reference specific, freshly read file content.

    How it works

    1. Identify the loop when a user flags a persistent error or the agent realizes a previous patch did not resolve the issue.
    2. Emit the guardrail signal to acknowledge the defensive pattern and stop the current line of reasoning.
    3. Re-anchor to source by performing a fresh read of the relevant files to discard any cached, incorrect assumptions.
    4. Deliver verified output that explicitly links every claim to the newly retrieved file state.

    Frameworks & tools

    This skill is platform-agnostic and works with any LLM-based coding assistant, IDE extension, or CLI tool like Claude Code, Cursor, or Aider. It is particularly effective in complex JavaScript, Python, and Rust environments where import paths and dependency issues often trigger agent hallucinations.

    Why this beats prompting it yourself

    Writing a manual prompt to stop an agent from lying usually results in more apologies rather than better code. VibeShake provides a structured protocol that forces the agent to treat its own previous claims as untrusted data until verified by a fresh file read.

    Use cases

    • Ending "I have updated the file" loops when no changes actually appear in the editor.
    • Debugging persistent import or configuration errors where the agent keeps suggesting the same failing fix.
    • Managing long sessions where the agent's context window contains conflicting versions of the same file.

    Known limitations

    Does not work for single-turn tasks where no session history exists. Requires the agent to have active file-read capabilities enabled in its environment.

    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

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    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.

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    Recently published to Agensi

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    Verified clean 2 days ago

    • Passed all security checks, Safe to install

    Listed2 days ago

    What's inside

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