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Jarvis Tts

v1.0.0

Jarvis TTS text-to-speech using Microsoft edge-tts with afplay playback. Use when users request voice output, audio responses, or text-to-speech. Provides na...

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byniuyufu@e421083458
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Purpose & Capability
Name/description, SKILL.md, and the two included scripts all describe generating TTS with edge-tts and playing via afplay. There are no unrelated env vars, binaries, or config paths requested; the requested functionality (macOS TTS) reasonably explains the included files and dependencies.
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Instruction Scope
Instructions and scripts are narrowly scoped: take input text, run edge-tts to write an MP3 to a temp file, play it with afplay, then delete the temp file. They do not read other system files, environment variables, or send data to any endpoints other than the Microsoft TTS service invoked by edge-tts. No open-ended 'gather whatever context you need' behavior is present.
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Install Mechanism
There is no install spec in the package (instruction-only install); the scripts rely on standard Python and a user-installed pip package (edge-tts). No downloads from untrusted URLs or archive extraction are present in the bundle.
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Credentials
The skill requires no credentials or env vars. However, edge-tts performs network calls to Microsoft’s TTS endpoints, so text input will be transmitted off-device to a third party; that is proportionate for a cloud-based TTS service but has privacy implications the user should be aware of.
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Persistence & Privilege
The skill is not always-on, does not modify other skills or system-wide settings, and does not request persistent presence. It performs only per-invocation local actions (generate/play/cleanup).
Assessment
This package is internally consistent with a macOS TTS helper. Before installing or using it: 1) confirm you are okay with sending the text you feed it to Microsoft’s TTS service (privacy concern); 2) install and vet the edge-tts pip package from PyPI (verify publisher/reviews) rather than running arbitrary installs; 3) note it requires macOS afplay (or modify for Linux/Windows); 4) run the scripts on non-sensitive text first and consider running in a sandbox if you have high security requirements. The included scripts are small and straightforward; no unexplained credential or file access was found.

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

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