Skip to content
TrustedSkillsbeta
Back to all skills

Transcribe

Listed
braselog·vlatest·writing

Transcribe converts audio or video into editable text, saving time and effort in note-taking, documentation, and content creation.

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 braselog/researchassistant --skill transcribe -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

braselog

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: hf.co.

    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.

    Hosts contacted

    huggingface.comodel providerhf.coundeclared

    What it found

    • .github/skills/transcribe/scripts/transcribe.py:134contacts hf.co
      print("  2. Accept model terms at: https://hf.co/pyannote/speaker-diarization-3.1")
    • .github/skills/transcribe/scripts/transcribe.py:135contacts hf.co
      print("  3. Accept model terms at: https://hf.co/pyannote/segmentation-3.0")
    • .github/skills/transcribe/scripts/transcribe.py:136contacts hf.co
      print("  4. Create token at: https://hf.co/settings/tokens")

  • 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 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 braselog/researchassistant at 6e1e60a1d7.

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

Commit
6e1e60a1d7
Manifest
.github/skills/transcribe/SKILL.md
Scanned
3 files, 873 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 braselog-transcribe skill converts audio files into text transcripts. It can process various audio formats and provides a textual representation of spoken words, allowing users to easily analyze or repurpose audio content. The resulting transcriptions are intended for research and analysis purposes.

When to use it

  • Transcribing interview recordings for qualitative data analysis.
  • Converting online meeting recordings into searchable notes.
  • Creating written summaries from podcasts or lectures.
  • Generating captions for videos.

Key capabilities

  • Audio-to-text transcription
  • Supports various audio formats
  • Designed for research and analysis

Example prompts

  • "Transcribe this audio file: [audio_file_url]"
  • "Create a transcript of the recording at this link: [link_to_recording]"
  • “Can you transcribe this interview?”

Tips & gotchas

The quality of the transcription depends heavily on the clarity and background noise in the original audio. Ensure the audio is as clean as possible for best results.