Openai Whisper Api
CheckedHelps with OpenAI, API as part of building AI and machine learning applications workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add thinkfleetai/thinkfleet-engine --skill openai-whisper-api -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
thinkfleetai
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.
Automated safety checks
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
Only contacts known or declared hosts: api.openai.com.
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
api.openai.commodel providerNo 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 thinkfleetai/thinkfleet-engine at 1256c5192f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1256c5192f
- Scanned
- 2 files, 124 lines
About this skill
What it does
This skill leverages the OpenAI Whisper API to transcribe audio into text. It can handle various audio formats and languages, providing accurate transcriptions for a wide range of applications. The transcription output is then presented as plain text, enabling further processing or analysis by other AI agent skills.
When to use it
- Transcribing meeting recordings for note-taking and action item extraction.
- Converting voice memos into written documents.
- Generating captions for videos in different languages.
- Analyzing spoken conversations for sentiment or keyword identification.
- Creating searchable transcripts of podcasts or audiobooks.
Key capabilities
- Audio transcription
- Support for multiple languages
- Output as plain text
- Utilizes the OpenAI Whisper API
Example prompts
- "Transcribe this audio file: [audio_file_path]"
- "What was said in this recording? [audio_file_path]"
- “Can you give me a transcript of this meeting?”
Tips & gotchas
- Requires an OpenAI API key to function. Ensure the key is properly configured within the AI agent environment.