Borrowing it
Nothing to install: this file belongs to ycharfi09/OptiClone. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ycharfi09/OptiClone/main/CLAUDE.mdgit clone --depth 1 https://github.com/ycharfi09/OptiCloneWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/ycharfi09/opticlone/claude-md)<a href="https://agentmods.dev/instructions/ycharfi09/opticlone/claude-md"><img src="https://agentmods.dev/badge/instructions/ycharfi09/opticlone/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/ycharfi09/opticlone/claude-md"><img src="https://agentmods.dev/badge/instructions/ycharfi09/opticlone/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00601 | $0.00601 |
| Opus 5.5 | $0.00240 | $0.00240 |
| Sonnet 5.5 | $0.00120 | $0.00120 |
| Haiku 4.5 | $0.00060 | $0.00060 |
Grade A, and why
OptiClone 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OptiClone — Project Tracking
Overview
OptiClone is a standalone Windows PC voice cloning application built with Python. It integrates the LuxTTS model (by YatharthS, based on ZipVoice) for high-speed (150× realtime) zero-shot voice cloning at 48 kHz fidelity.
Architecture
OptiClone/
├── CLAUDE.md # This file — project tracking
├── README.md # User-facing documentation
├── requirements.txt # Python dependencies
├── run.bat # One-click Windows launcher
├── main.py # Entry point
├── opticlone/
│ ├── __init__.py
│ ├── inference_engine.py # LuxTTS model wrapper
│ ├── ui_main.py # CustomTkinter GUI
│ ├── audio_utils.py # Recording / WAV helpers
│ └── config.py # App-wide constants & defaults
└── assets/
└── icon.png # App icon placeholder
Key Decisions
| Decision | Choice | Rationale |
|---|---|---|
| Model source | HuggingFace YatharthS/LuxTTS |
Official weights; auto-downloaded on first run |
| UI framework | CustomTkinter | Modern dark-mode look; pure Python; lightweight |
| Backend | Direct in-process calls | No FastAPI needed for a local desktop app |
| Audio I/O | soundfile + sounddevice | Cross-platform recording & WAV export |
| Sample rate | 48 000 Hz | Native LuxTTS output rate |
LuxTTS API Reference (from upstream repo)
from zipvoice.luxvoice import LuxTTS
lux_tts = LuxTTS('YatharthS/LuxTTS', device='cuda') # or 'cpu'
encoded = lux_tts.encode_prompt('ref.wav', duration=5, rms=0.01)
wav = lux_tts.generate_speech(text, encoded,
num_steps=4, t_shift=0.9, speed=1.0,
return_smooth=False)
Build / Run Commands
# Create venv & install
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
# Run the app
python main.py
Status
- Project scaffolded
- CLAUDE.md created
- requirements.txt drafted
- inference_engine.py implemented
- ui_main.py implemented
- main.py entry point created
- audio_utils.py helper module
- config.py constants
- README.md written
- run.bat launcher
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.
- 2mo ago First seen · 69 lines · 601 tokens per session scan A bb5d87e3f840
OptiClone CLAUDE.md is an instructions file published in the GitHub repository ycharfi09/OptiClone (59 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 601 tokens to every session, about $0.0024 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.
OptiClone CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| OptiClone CLAUDE.mdycharfi09/OptiClone | Instructions file | 59 | 4mo ago | Apache-2.0 | A | 601 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |