Qualityclouds — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Qualityclouds (Agent Skill) and scored it 96/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 1 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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This is the official Model Context Protocol (MCP) server for Quality Clouds — the governance layer for human and AI-generated code.
This server bridges the gap between probabilistic AI generation and deterministic enterprise governance. It enables AI coding assistants (like Claude Desktop, Cursor, or IDE agents) to interface directly with the Quality Clouds platform to retrieve policy context, validate logic in real-time, and query technical debt profiles.
✅ Designed for developers, architects, and DevOps teams who care about scalable, maintainable enterprise cloud code.
The Core Concept: You don't ask for a code check. You ask for code, and the AI automatically validates and fixes it against your ruleset before displaying the final result.
<div align="center"> <h3> 🚀 <a href="https://id.qualityclouds.com/sign-up?utm_source=GitHub+Listing&utm_medium=CTA&utm_campaign=sign+up+FREE" target="_blank" rel="noopener noreferrer"> LivecheckAI (via MCP) for Salesforce – Try it for Free! ↗ </a> </h3> </div>
AI coding assistants often generate code that looks correct but contains hidden security risks or performance violations (e.g., SOQL injection in Salesforce, inefficiency in ServiceNow loops).
This MCP server solves that by introducing a "Self-Correction Loop":
Performs a real-time scan of a code snippet.
LivecheckAI supports real-time validation for:
We welcome contributions! Here's how to get started:
git checkout -b feat/my-featuregit commit -am 'Add feature'Check out CONTRIBUTING.md and CODE_OF_CONDUCT.md for more info.
This project is licensed. Free credits available.
“We help enterprises scale safely in the cloud by making code quality visible, measurable, and actionable.”
Learn more at www.qualityclouds.ai
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.