security-audit-rlm

Identify security risks in large legacy .NET repositories using a local DSPy RLM workflow.

77|19|Updated Feb 8, 2026

Search Tags:#security #audit #dotnet #local #privacy #rlm

Ready to run

npx skills add https://github.com/mitkox/megacode --skill security-audit-rlm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: security-audit-rlm
Source: https://github.com/mitkox/megacode/tree/main
Command: npx skills add https://github.com/mitkox/megacode --skill security-audit-rlm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Privacy-preserving, local DSPy RLM security audits for large legacy .NET codebases, avoiding full-context model access while producing actionable findings.

Core Features & Use Cases

Privacy-preserving, local analysis that scales to large repositories without loading all source files.
Tool-driven workflow using read_file, list_manifest, and search_pattern to identify vulnerabilities.
Output MD reports, JSON metadata, and JSONL manifests for integration into existing workflows.
Use Case: Audit a large enterprise .NET repository to surface risky patterns, configuration issues, and secrets with precise file/line evidence.

Quick Start

Install and run the audit tool against your repository to start a privacy-preserving security analysis.

Frequently Asked Questions about security-audit-rlm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I run a security audit on a large .NET repository locally without exposing my source code?▼

A local security audit can scan large .NET repositories without loading all source files into the model context. It uses iterative indexing and targeted pattern searches to produce structured markdown and JSON findings.

What is a privacy-preserving RLM workflow for .NET security audits?▼

A privacy-preserving RLM workflow analyzes legacy .NET codebases locally using bounded tool access. It searches targeted code patterns instead of ingesting the full context, generating markdown reports and JSON metadata.

How do I identify security risks in legacy .NET codebases using local model context?▼

You can identify risks by running a local workflow that uses read_file, list_manifest, and search_pattern tools. This approach surfaces risky patterns, secrets, and configuration issues with precise file and line evidence.

Can I generate structured security audit reports in JSON and markdown for .NET projects?▼

Yes, the local audit workflow outputs a markdown audit report, a JSON metadata file, and a JSONL manifest. These structured outputs allow you to integrate security findings directly into existing development workflows.

Does a local DSPy RLM audit work for large enterprise repositories without uploading the whole codebase?▼

Yes, this local audit approach specifically scales for large enterprise repositories by avoiding full-context model access. It performs iterative indexing and targeted scans to find vulnerabilities while maintaining privacy.

What are the limitations of using local pattern searches for .NET security audits?▼

This local audit approach relies on targeted search_pattern and read_file tools, meaning it scans iteratively rather than analyzing the full context. It is designed for bounded tool access to maintain strict privacy requirements.