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Azure Speech To Text Rest Py

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, REST APIs as part of deploying and managing cloud infrastructure workflows.

Repository

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 claudedjale/skillset --skill azure-speech-to-text-rest-py -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

claudedjale

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 claudedjale/skillset at 154f146735.

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

Commit
154f146735
Manifest
.github/plugins/azure-sdk-python/skills/azure-speech-to-text-rest-py/SKILL.md
Scanned
3 files, 932 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.
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About this skill

What it does

This skill provides access to the Azure Speech-to-Text REST API using Python. It allows you to transcribe audio files into text, supporting various audio formats and languages. The skill leverages the Microsoft Azure cloud platform for accurate speech recognition capabilities.

When to use it

  • Transcribing meeting recordings for documentation or analysis.
  • Converting voice notes from a mobile device into editable text documents.
  • Creating searchable transcripts of podcasts or online video content.
  • Automating captioning for videos by converting spoken audio to text.

Key capabilities

  • Transcription of audio files using the Azure Speech-to-Text API.
  • Support for various audio file formats.
  • Language selection for accurate transcription.
  • Python implementation for easy integration into scripts and applications.

Example prompts

  • "Transcribe this audio file: audio.wav."
  • "Convert the audio at this URL to text, using English (US) language model: https://example.com/recording.mp3."
  • “Can you transcribe this and give me a JSON output?”

Tips & gotchas

  • Requires an active Azure subscription and valid API keys for authentication.
  • Transcription accuracy depends on audio quality, background noise, and the selected language model.