rt.safety.auditor

Audit C++ audio-thread code for real-time safety violations and generate markdown reports.

Updated Aug 9, 2025
One-click install
npx skills add https://github.com/chrislyons/orpheus-sdk --skill rt-safety-auditor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rt.safety.auditor
Source: https://github.com/chrislyons/orpheus-sdk/tree/main/.claude/skills/project/rt-safety-auditor
Command: npx skills add https://github.com/chrislyons/orpheus-sdk --skill rt-safety-auditor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Developing real-time audio applications in C++ is fraught with subtle errors that can cause critical performance issues like audio dropouts or latency spikes. This skill automates the rigorous analysis of C++ code to detect violations of real-time safety constraints, ensuring your audio engine remains "broadcast-safe" and reliable.

Core Features & Use Cases

  • Real-Time Constraint Enforcement: Identifies forbidden operations in audio threads (e.g., heap allocations, locks, blocking I/O, unbounded loops).
  • Detailed Violation Reports: Provides line-by-line reports with explanations of why a pattern is unsafe, its impact, and specific, actionable fixes.
  • Domain-Specific Knowledge: Encodes deep expertise in professional audio programming to prevent common real-time pitfalls.
  • Use Case: Before merging changes to your audio processing core, run this skill to automatically audit the C++ code. It will flag any new calls, std::mutex usage, or std::cout statements within real-time paths, guiding you to a safe, performant implementation.

Quick Start

Audit the C++ file 'src/audio_engine.cpp' for real-time safety violations and provide a detailed report.

Frequently Asked Questions about rt.safety.auditor

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

FAQPage Schema
How do I detect real-time safety violations in C++ audio code?

Real-time safety violations in C++ audio code occur when heap allocations, locks, blocking I/O, or unbounded loops execute in audio threads like processBlock or audioCallback. Auditing scans these paths to flag unsafe patterns and provides line-by-line reports with actionable fixes to ensure deterministic, dropout-free execution.

What operations are forbidden in C++ audio threads?

Heap allocations, mutex locks, blocking I/O operations, and unbounded loops are forbidden in real-time audio threads because they introduce unpredictable latency and timing jitter. This skill detects `new` calls, `std::mutex` usage, `std::cout` statements, and similar patterns that violate real-time constraints.

Can I audit specific C++ audio files for real-time safety?

Yes, you can audit individual C++ files or specific file patterns within your codebase. The skill scans processBlock, audioCallback, render paths, and related real-time code sections, generating detailed markdown reports that identify violations and explain their performance impact.

Why should I enforce real-time constraints in audio programming?

Real-time constraints prevent audio dropouts, latency spikes, and glitches that degrade playback quality. Enforcing sample-accurate timing, deterministic execution, and safe memory management using 64-bit atomic counters keeps your audio engine broadcast-safe and reliable under performance pressure.

What's the best way to ensure C++ audio code won't cause performance issues?

Automated static analysis detects real-time violations before code reaches production. This skill applies domain-specific knowledge to identify unsafe patterns early in development, guiding you toward safe, performant implementations that maintain consistent audio thread execution.

Do I need to manually review every line of audio processing code?

Manual review is error-prone and time-consuming. Automated auditing catches heap allocations, locks, and blocking operations systematically across your C++ audio codebase, reducing the risk of subtle real-time violations that would only surface during performance testing or live playback.