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Voice

v1.0.1

Convert text to speech using Microsoft Edge's TTS engine with customizable voices, direct playback, and automatic temporary file cleanup.

0· 2.7k·18 current·19 all-time
byzhaov@zhaov1976
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Purpose & Capability
The name, SKILL.md, package.json and code all describe a TTS skill using edge-tts. Requested dependencies and behaviors (generate audio, play files, cleanup) are consistent with the stated purpose.
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Instruction Scope
The runtime instructions and code run shell commands (execAsync) to call the edge-tts CLI and to install dependencies. The edge-tts invocation is built as a single shell command string that includes untrusted user text; because exec runs via a shell, constructs like $(...), `...`, or other shell metacharacters inside the text can result in arbitrary command execution (command injection). The skill also spawns system audio players and writes/cleans files under a temp directory two levels above the skill directory, which is surprising and should be reviewed.
Install Mechanism
There is no package install spec in the registry metadata, but the skill's code and SKILL.md instruct users (and provide an 'install' action) to run `pip3 install edge-tts`. Installing via pip is expected for this functionality, but runtime installation (exec of pip3) means the agent will perform network installs and execute whatever the installer does — acceptable for a TTS skill but worth noting.
Credentials
The skill requests no environment variables or credentials. No unrelated secrets are requested. The main risk is filesystem and shell invocation rather than excessive credential access.
Persistence & Privilege
The skill is not always-included and does not request elevated platform privileges. It doesn't modify other skills or global agent config. Its temporary file management and install action affect only local FS and pip.
What to consider before installing
This skill appears to do what it says (edge-tts TTS + playback), but the implementation builds and executes shell command strings with user-provided text. That creates a real command-injection risk: a maliciously crafted input could execute arbitrary shell commands on the host. Before installing or enabling this skill in sensitive environments, consider the following: - Do not run it on production systems or hosts with sensitive data until reviewed or sandboxed. - Inspect and/or modify the code to avoid exec with a concatenated command string. Safer alternatives: - Use child_process.spawn with an argument array (no shell) or spawnFile so the text is passed as an argument rather than interpolated into a shell command. - Or call the Python API (edge-tts package) from a subprocess with structured arguments or via an RPC/worker, avoiding shell interpolation. - Properly escape or validate user text (but escaping is easy to get wrong; prefer avoiding the shell entirely). - Consider changing the temp directory to a skill-local, non-shared path and ensure it cannot traverse outside the skill folder. The code currently writes to path.join(__dirname, '..', '..', 'temp'), which may be broader than expected. - Avoid running the 'install' action automatically; perform dependency installation manually in a controlled environment. If you are not able to patch the code, run the skill only in an isolated sandbox or container and avoid giving it access to sensitive files or credentials.

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.

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