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Azure Ai Transcription Py

Checked
claudedjale·vlatest·cloud·MIT

Helps with Azure, AI 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-ai-transcription-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-ai-transcription-py/SKILL.md
Scanned
2 files, 589 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

This skill leverages the Azure AI Speech to Text service via Python to transcribe audio files. It can handle various audio formats and provides options for customizing transcription settings like language, diarization (speaker identification), and profanity filtering. The resulting transcriptions are returned as text data suitable for further processing or analysis.

When to use it

  • Transcribing meeting recordings for documentation or note-taking.
  • Converting voice memos into written text for easier organization.
  • Generating captions for videos or podcasts.
  • Analyzing customer service calls by transcribing audio conversations.
  • Extracting key information from recorded interviews.

Key capabilities

  • Audio file transcription using Azure AI Speech to Text.
  • Support for various audio formats (specific formats not listed).
  • Customizable transcription settings (language, diarization, profanity filtering).
  • Python-based implementation.

Example prompts

  • "Transcribe this audio file and identify speakers."
  • "Convert the attached voice memo to text."
  • "Generate a transcript of this podcast episode in English."

Tips & gotchas

  • Requires an Azure account and valid API keys for the Azure AI Speech service.
  • Transcription accuracy can be affected by audio quality; noisy recordings may yield less accurate results.