Which IDEs does Blind Auditor support?

It supports IDEs compatible with MCP clients, such as Antigravity and Cursor, through system prompt configuration or direct MCP server integration.

What is Blind Auditor?

Blind Auditor is an automated tool for auditing AI-generated code, enforcing compliance and quality standards through forced agent self-review and the MCP protocol.

Does Blind Auditor incur additional costs?

No, it operates at zero cost by reusing your host IDE's existing inference model, eliminating the need for extra API keys or fees.

How does Blind Auditor enforce coding standards?

It hard-embeds team coding standards via a `rules.json` file, forces AI agents into an 'auditor' role to reduce bias, and prioritizes these rules over conversational prompts.

What happens if the AI-generated code fails an audit?

Blind Auditor initiates an automated correction loop, instructing the AI agent to revise the code. This process can be configured with multiple retries.

Blind Auditor

Name: Blind Auditor
Author: Sim-xia

bySim-xia

0•

開発者ツール

セキュリティとテスト

データサイエンスとML

Automates code auditing for AI-generated output, enforcing compliance and quality standards.

Blind Auditor is an innovative tool designed to enhance the quality and compliance of code generated by AI agents. It implements a 'thought isolation' mechanism, compelling AI agents to perform self-reviews after code generation by switching to an impartial auditor role. The tool integrates seamlessly with existing IDEs and leverages host inference models, eliminating the need for additional API keys. It hard-embeds team-defined coding standards and security policies, automatically triggering code corrections upon audit failure and ensuring that its rules take absolute priority over conversational prompts.

主な機能

01Strong compliance by hard-embedding team coding standards via `rules.json`.

02Zero-cost operation by reusing the host IDE's inference model.

03Bias reduction through forced agent role-switching to an 'auditor'.

04Automated correction loop for audit failures, with configurable retries.

05High enforcement priority for MCP rules over conversational prompts.

060 GitHub stars

ユースケース

01Automating code quality and security checks for AI-generated code.

02Enforcing organizational coding standards and policies in AI development workflows.

03Integrating mandatory self-review processes for AI agents creating software.