FluidAudio copilot-instructions.md

A project guide for FluidAudio, a Swift audio library that turns speech recordings into timestamped transcripts and identifies who is speaking. It explains the code layout, build and test commands, and rules for making changes.

In plain words
What is it for?
Use it when developing, testing, or formatting FluidAudio, including its speech recognition, speaker identification, voice activity detection, and command-line tools.
Why use it?
It gives a new coding agent the project’s structure and working rules, reducing incorrect implementations and inconsistent code. It also shows how to build, test, and format the Swift code.

Instructions file for GitHub Copilot

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/fluidinference/fluidaudio/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/FluidInference/FluidAudio

Made for: GitHub Copilot.

Per session 552 This file is loaded in full into every session.
When invoked 552 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00552 $0.00552
Opus 5 $0.00276 $0.00276
Sonnet 5 $0.00110 $0.00110
Haiku 4.5 $0.00055 $0.00055

Measured 2d ago against content hash be497bd2303f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

FluidAudio copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/copilot-instructions.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FluidAudio - Agent Development Guide

Build & Test Commands

swift build                                    # Build project
swift build -c release                        # Release build
swift test                                     # Run all tests
swift test --filter CITests                   # Run single test class
swift test --filter CITests.testPackageImports # Run single test method
swift format --in-place --recursive --configuration .swift-format Sources/ Tests/

Architecture

  • FluidAudio/: Main library (ASR/, Diarizer/, VAD/, Shared/ modules)
  • FluidAudioCLI/: CLI tool with benchmarking and processing commands
  • Tests/FluidAudioTests/: Comprehensive test suite
  • Models: Auto-downloaded from HuggingFace with CoreML compilation
  • Processing Pipeline: Audio → VAD → Diarization → ASR → Timestamped transcripts

Critical Rules

  • NEVER use @unchecked Sendable - implement proper thread safety with actors/MainActor
  • NEVER create dummy/mock models or synthetic audio data - use real models only
  • NEVER create simplified versions - implement full solutions or consult first
  • NEVER run git push unless explicitly requested by user
  • Add unit tests when writing new code

Code Style (swift-format config)

  • Line length: 120 chars, 4-space indentation
  • Import order: Alphabetical preferred (import CoreML, import Foundation, import OSLog), but OrderedImports rule is disabled due to Swift 6.1 (GitHub Actions CI) vs 6.3 (local) formatter incompatibility
  • Naming: lowerCamelCase for variables/functions, UpperCamelCase for types
  • Error handling: Use proper Swift error handling, no force unwrapping in production
  • Documentation: Triple-slash comments (///) for public APIs
  • Thread safety: Use actors, @MainActor, or proper locking - never @unchecked Sendable
  • Control flow: Prefer flattened if statements with early returns/continues over nested if statements. Use guard statements and inverted conditions to exit early. Nested if statements should be absolutely avoided.

Read the full file on GitHub · 48 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 48 lines · 552 tokens per session scan A be497bd2303f

Subscribe to this mod's changes

FluidAudio copilot-instructions.md is an instructions file published in the GitHub repository FluidInference/FluidAudio (2,722 stars, last pushed yesterday), licensed Apache-2.0. It adds 552 tokens to every session, about $0.0028 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.