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Jarvis Vocal

v1.0.0

Authentic J.A.R.V.I.S. voice synthesis using Piper TTS with HuggingFace-trained model. Generates movie-accurate voice locally and can push to connected Andro...

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by@kishen35
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
✓
Purpose & Capability
Name/description (J.A.R.V.I.S. voice via Piper TTS and HuggingFace model) match the instructions and package metadata: the SKILL.md and README show how to install Piper, download the model, generate WAVs, and push them to Android devices via ADB/Tailscale. No unrelated binaries, env vars, or config paths are required by the skill itself.
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Instruction Scope
Instructions are narrowly scoped to: installing piper-tts/ffmpeg, using the HuggingFace CLI to download model files into ~/.local/share/piper/voices, generating audio, and optionally streaming/pushing via adb. They do not instruct reading unrelated system files or exporting arbitrary data. Note: using ADB/Tailscale gives device-level access to paired Android devices (expected for the advertised capability); README contains a sample IP which is just illustrative but could be misleading if copied without understanding.
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Install Mechanism
This is an instruction-only skill (no automated install). It tells the user to pipx install piper-tts and to use the HuggingFace CLI and ffmpeg. Those are reasonable for TTS but do require installing third-party software that will run locally—verify the upstream packages (piper-tts, hf CLI) before installing. Because install is manual, the skill itself does not download or execute code automatically.
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Credentials
The skill declares no required environment variables or credentials. Operationally, the workflow may prompt for HuggingFace auth if model access requires it and requires an ADB-paired Android device (device pairing grants access to push/play files). There are no unrelated secret requests in the manifest or instructions.
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Persistence & Privilege
The skill is not force-included (always: false) and has no install step that persists code automatically. It does not request elevated agent privileges or modify other skills. Note that the platform default allows autonomous invocation; that is expected and not by itself a concern here.
Assessment
This skill appears coherent, but before installing or running anything: 1) Inspect and verify the upstream packages it asks you to install (piper-tts, HuggingFace CLI, ffmpeg) and install them manually via trusted channels. 2) Confirm the HuggingFace model license and provenance — README claims movie-line training (legal/ethical risk, even if model metadata says MIT). 3) Understand ADB/Tailscale implications — pairing a phone gives the host permission to push files and trigger playback; only pair with devices you trust. 4) Review any wrapper scripts (jarvis-speak/jarvis-tts) before running to ensure they do only generation/push/cleanup and contain no unexpected commands. 5) Because installation is manual, nothing in the skill will automatically exfiltrate credentials, but installed third-party tools will run on your machine—treat them as you would any pip-installed software.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🎙️ Clawdis

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