PipeVoice: Instructions file for Claude Code

CLAUDE.md

PipeVoice CLAUDE.md is an instructions file for Claude Code from SignalEngine/PipeVoice. It costs 1,447 tokens per session, scanned A, original, MIT.

A project instruction file for PipeVoice, a Windows desktop application, that explains the repository layout, required working directory, commands, and architecture.

In plain words
What is it for?
Use it to orient work on PipeVoice, launch the app, open its settings, and follow the documented Windows and Python environment commands.
Why use it?
It prevents a coding agent from running commands in the surrounding folder or missing the actual project repository.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is SignalEngine/PipeVoice's own configuration. It tells Claude Code how to work on PipeVoice itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PipeVoice configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SignalEngine/PipeVoice. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SignalEngine/PipeVoice/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/SignalEngine/PipeVoice

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Per session 1,447 This file is loaded in full into every session.
When invoked 1,447 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01447 $0.01447
Opus 5.5 $0.00579 $0.00579
Sonnet 5.5 $0.00289 $0.00289
Haiku 4.5 $0.00145 $0.00145

Measured 2mo ago against content hash e7454acfbd48, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

PipeVoice CLAUDE.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 2mo 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.

CLAUDE.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Orientation: directory nesting

The invoked working directory (.../Desktop/wisperlite) is just a container. The actual project lives one level down and the name drops an "e":

wisperlite/                 <- working dir (NOT a git repo)
  wisprlite/                <- project root + git repo (.git is here). Run all commands from here.
    wisprlite/              <- the Python package (app.py, engines/, ...)
    assets/  installer/  *.bat  launch.py  requirements.txt

Almost everything below assumes you have cd wisprlite first. This repo is the desktop app only. The pipevoice.app website + marketing live in a separate private repo (Powleads/pipevoice-site).

Commands (run from wisprlite/, Windows)

  • Run from source: run.bat — first run creates .venv, installs requirements.txt, then runs python -m wisprlite. Subsequent runs just activate and launch. Equivalent manual launch after venv exists: python -m wisprlite.
  • Open the settings GUI: python -m wisprlite --settings (the app spawns this as a separate process; see Architecture).
  • Transcribe an existing file: python -m wisprlite --transcribe (also tray → "Transcribe a file…"). Local whisper by default; Deepgram with speaker labels when DEEPGRAM_API_KEY is set.
  • Build the single .exe: build_exe.bat → dist\WisprLite.exe (PyInstaller onefile, no console, bundles all three engines incl. the local Whisper runtime).
  • Build the full installer: build_installer.bat → installer\Output\WisprLite-Setup.exe (runs build_exe.bat first; needs Inno Setup 6 installed).
  • List microphones (to set device in config): python -m sounddevice.
  • CI: .github/workflows/build.yml builds the installer on push to main; a v* tag additionally publishes a GitHub Release with the installer attached.

There is no test suite, linter, or formatter configured — don't look for pytest/tox/ruff targets.

Read the full file on GitHub · 56 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. 2mo ago First seen · 56 lines · 1,447 tokens per session scan A e7454acfbd48

Subscribe to this mod's changes

PipeVoice CLAUDE.md is an instructions file published in the GitHub repository SignalEngine/PipeVoice (42 stars, last pushed 12d ago), licensed MIT. It adds 1,447 tokens to every session, about $0.0058 per session on Opus 5.5. 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.

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