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Agent skill

Openai Whisper API

by CoWork-OS in CoWork-OS/CoWork-OS

Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs.

MITAuto-check passedMedia & Creative

Install Openai Whisper API

skills CLI
$ npx skills add CoWork-OS/CoWork-OS --skill openai-whisper-api -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CoWork-OS/CoWork-OS openai-whisper-api --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CoWork-OS/CoWork-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/skills/openai-whisper-api .claude/skills/openai-whisper-api && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
openai-whisper-api
GitHub stars
477
Token cost
~411 tokens
SKILL.md length
184 words
Files
2 (incl. scripts)
Skills in repo
46
Repo updated
First seen
Licence
MIT

At a glance

Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs.

  • Tasks that involve Transcription
  • SKILL.md covers Purpose, Routing, Trigger Examples and Runtime Prompt
  • Runs Shell scripts from its folder
  • Tasks that involve Speech recognition and synthesis

What it does

Openai Whisper API is an agent skill from CoWork-OS/CoWork-OS. Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/transcribe.sh`).

It sits in Media & Creative, covering Transcription and Speech recognition and synthesis. It works with Whisper. The repository describes itself as: Local-first personal agentic OS and everything app for coding, knowledge work, web design, automations, and artifacts. The licence is MIT.

When your agent uses it

  • Tasks that involve Transcription
  • Tasks that involve Speech recognition and synthesis

Example prompts

  • “/openai-whisper-api”

Requirements

  • A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit 0ace02b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openai Whisper API loads about 411 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~411

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from CoWork-OS/CoWork-OS at commit 0ace02b, republished under its MIT licence (© CoWork-OS). 184 words, ~411 tokens.

Download SKILL.mdSave it as .claude/skills/openai-whisper-api/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
openai-whisper-api
description
Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs.
version
1.2.0
metadata.author
CoWork OS Contributors <info@coworkosapp.com>

Openai-whisper-api

Purpose

Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs.

Routing

  • Use when: Use when the user asks to transcribe audio through OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text.
  • Do not use when: Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
  • Outputs: Outcome from Openai-whisper-api: task-specific result plus concrete action notes.
  • Success criteria: Returns concrete actions and decisions matching the requested task, with no fabricated tool-side behavior.

Trigger Examples

Positive
  • Use the openai-whisper-api skill for this request.
  • Help me with openai-whisper-api.
  • Use when the user asks to transcribe audio through OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text.
  • Openai-whisper-api: provide an actionable result.
Negative
  • Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
  • Do not use openai-whisper-api for unrelated requests.
  • This request is outside openai-whisper-api scope.
  • This is conceptual discussion only; no tool workflow is needed.

Runtime Prompt

  • Current runtime prompt length: 1683 characters.
  • Runtime prompt is defined directly in ../openai-whisper-api.json.

© CoWork-OS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in resources/skills/openai-whisper-api of CoWork-OS/CoWork-OS.

  • SKILL.md
  • scripts/transcribe.sh

Open the folder on GitHubat commit 0ace02b

Compare with similar skills

Openai Whisper API next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Openai Whisper API compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Openai Whisper API this skillCoWork-OS/CoWork-OS477—~411Automated safety check: PassMIT
WhisperAlexAI-MCP/hermes-CCC135—~1.9kAutomated safety check: PassMIT
9Router Speech-to-Textdecolua/9router31k—~914Automated safety check: PassMIT
Openai Whisper APIopenclaw/openclaw392k1 repos~518Automated safety check: PassMIT
Watch Videocoreyhaines31/makerskills851—~3.8kAutomated safety check: PassMIT
Wjs Transcribing Audiojianshuo/claude-skills131—~4.4kAutomated safety check: NotesMIT

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  • Whisper

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    135 GitHub stars~1.9k tokensUpdated 6 mo ago
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  • 9Router Speech-to-Text

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    Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.

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    131 GitHub stars~4.4k tokensUpdated 1 mo ago
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Works with

Categories

Questions about Openai Whisper API

What does Openai Whisper API do?

Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs. Openai Whisper API is an agent skill from CoWork-OS/CoWork-OS. Transcribe audio via OpenAI Whisper, Atlas Cloud, or MuAPI speech-to-text APIs.

When should I use Openai Whisper API?

Openai Whisper API fits situations like: tasks that involve Transcription; tasks that involve Speech recognition and synthesis.

How do I install Openai Whisper API in Claude Code?

Run `npx skills add CoWork-OS/CoWork-OS --skill openai-whisper-api -a claude-code`. Or copy the skill folder (resources/skills/openai-whisper-api in CoWork-OS/CoWork-OS) into .claude/skills/openai-whisper-api in your project. Claude Code loads it when a task matches its description.

How do I install Openai Whisper API in Codex?

Run `npx skills add CoWork-OS/CoWork-OS --skill openai-whisper-api -a codex`. Or copy the skill folder (resources/skills/openai-whisper-api in CoWork-OS/CoWork-OS) into .agents/skills/openai-whisper-api in your project. Codex loads it when a task matches its description.

Can I use Openai Whisper API in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CoWork-OS/CoWork-OS --skill openai-whisper-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openai-whisper-api, .gemini/skills/openai-whisper-api, .github/skills/openai-whisper-api and .opencode/skills/openai-whisper-api in your project.

What does Openai Whisper API need to run?

Going by SKILL.md and its folder, Openai Whisper API needs a shell for the scripts in its folder. Our summary lists: A Bash shell.

Does Openai Whisper API access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Openai Whisper API safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Openai Whisper API use?

Openai Whisper API is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openai Whisper API use?

About 411 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Openai Whisper API?

Skills that share tags, products or a category with Openai Whisper API: Whisper (AlexAI-MCP/hermes-CCC, 135 stars), 9Router Speech-to-Text (decolua/9router, 31k stars), Openai Whisper API (openclaw/openclaw, 392k stars) and Watch Video (coreyhaines31/makerskills, 851 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openai Whisper API?

CoWork-OS (a GitHub organization) maintains it in CoWork-OS/CoWork-OS, which has 477 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 9, 2026.

Source: CoWork-OS/CoWork-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.