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Sherpa Onnx Tts

Checked
steipete·vlatest·ai-ml·MIT

This skill uses Sherpa and ONNX to convert speech models into TTS formats for efficient deployment and testing – streamlining audio development.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openclaw/openclaw --skill sherpa-onnx-tts -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

steipete

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned steipete/clawdis at db197f9a8f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 105 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The steipete-sherpa-onnx-tts skill provides text-to-speech (TTS) capabilities using the Sherpa and ONNX models. It allows AI agents to convert written text into spoken audio, offering a more natural and engaging user experience. The skill leverages optimized ONNX models for efficient performance across various hardware platforms.

When to use it

  • Creating voice assistants: Integrate TTS functionality into chatbots or virtual assistants to enable spoken responses.
  • Generating audio content: Produce narrated videos, podcasts, or other audio materials from written scripts.
  • Accessibility features: Provide auditory output for users with visual impairments or those who prefer listening to text.
  • Interactive storytelling: Bring stories and narratives to life by having AI agents read them aloud.

Key capabilities

  • Text-to-speech conversion
  • Sherpa acoustic model integration
  • ONNX model execution for performance optimization
  • Cross-platform compatibility (due to ONNX)

Example prompts

  • "Read this text: 'The quick brown fox jumps over the lazy dog.'"
  • "Convert the following paragraph into speech." [followed by a paragraph of text]
  • "Speak this sentence with a neutral tone: 'Hello, world!'"

Tips & gotchas

  • Ensure your AI agent environment supports ONNX runtime for optimal performance.
  • The quality and naturalness of the generated speech depend on the specific Sherpa model used.