Agent skill

Openai Whisper API

OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.

Install Openai Whisper API

skills CLI

$ npx skills add openclaw/openclaw --skill openai-whisper-api -a claude-code

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

GitHub CLI

$ gh skill install openclaw/openclaw 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/openclaw/openclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/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/

Paste into Claude Code

Install the "openai-whisper-api" agent skill from https://github.com/openclaw/openclaw/tree/main/skills/openai-whisper-api into .claude/skills/openai-whisper-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper-api", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/openclaw/openclaw/tree/main/skills/openai-whisper-api

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add openclaw/openclaw --skill openai-whisper-api -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install openclaw/openclaw openai-whisper-api --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openai-whisper-api .agents/skills/openai-whisper-api && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "openai-whisper-api" agent skill from https://github.com/openclaw/openclaw/tree/main/skills/openai-whisper-api into .agents/skills/openai-whisper-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper-api", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add openclaw/openclaw --skill openai-whisper-api -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install openclaw/openclaw openai-whisper-api --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openai-whisper-api .cursor/skills/openai-whisper-api && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "openai-whisper-api" agent skill from https://github.com/openclaw/openclaw/tree/main/skills/openai-whisper-api into .cursor/skills/openai-whisper-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper-api", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/openclaw/openclaw.git --path skills/openai-whisper-api

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add openclaw/openclaw --skill openai-whisper-api -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install openclaw/openclaw openai-whisper-api --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openai-whisper-api .gemini/skills/openai-whisper-api && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "openai-whisper-api" agent skill from https://github.com/openclaw/openclaw/tree/main/skills/openai-whisper-api into .gemini/skills/openai-whisper-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper-api", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install openclaw/openclaw openai-whisper-api

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add openclaw/openclaw --skill openai-whisper-api -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openai-whisper-api .github/skills/openai-whisper-api && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "openai-whisper-api" agent skill from https://github.com/openclaw/openclaw/tree/main/skills/openai-whisper-api into .github/skills/openai-whisper-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper-api", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add openclaw/openclaw --skill openai-whisper-api -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install openclaw/openclaw openai-whisper-api --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openai-whisper-api .opencode/skills/openai-whisper-api && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "openai-whisper-api" agent skill from https://github.com/openclaw/openclaw/tree/main/skills/openai-whisper-api into .opencode/skills/openai-whisper-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper-api", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: openai-whisper-api
GitHub stars: 392k
Used in: 1 other repo
Token cost: ~518 tokens
SKILL.md length: 75 words
Files: 2 (incl. scripts)
Skills in repo: 96
Repo updated: Oct 9, 2026
First seen: Oct 8, 2026
Licence: MIT

At a glance

OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.

Tasks that involve Transcription
SKILL.md covers Quick start, Useful flags and API key
Runs Shell scripts from its folder; needs OPENAI_API_KEY
Tasks that involve Speech recognition and synthesis

What it does

Openai Whisper API is an agent skill from openclaw/openclaw. OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.

Its SKILL.md is about 520 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 OpenAI and Whisper. The repository describes itself as: The AI that really does things. Any OS. Any Platform. The lobster way. 🦞. 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
A credential in OPENAI_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit f8e594e. 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 these keys or tokens, usually read from environment variables:
- OPENAI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openai Whisper API loads about 518 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 75 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~27
When it runs · the whole SKILL.md, loaded when a task matches: ~518

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 openclaw/openclaw at commit f8e594e, republished under its MIT licence (© openclaw). 75 words, ~518 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: OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
homepage: https://platform.openai.com/docs/guides/speech-to-text

OpenAI transcriptions API

Transcribe audio through /v1/audio/transcriptions. Set OPENAI_BASE_URL for an OpenAI-compatible proxy or local gateway.

Quick start

bash

{baseDir}/scripts/transcribe.sh /path/to/audio.m4a

Defaults:

Model: gpt-4o-transcribe
Output: <input>.txt

Useful flags

bash

{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model gpt-4o-transcribe --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model gpt-4o-mini-transcribe
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model gpt-4o-transcribe-diarize --json
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json

Notes:

Supported upload formats include mp3, mp4, mpeg, mpga, m4a, wav, webm.
25 MB upload limit on the hosted API.
Use diarize for speaker labels; script sends chunking_strategy=auto and rejects --prompt.

API key

Set OPENAI_API_KEY, or configure it in the active OpenClaw config file ($OPENCLAW_CONFIG_PATH, default ~/.openclaw/openclaw.json). Optionally set OPENAI_BASE_URL:

json5

{
  skills: {
    "openai-whisper-api": {
      apiKey: "OPENAI_KEY_HERE",
    },
  },
}

Files

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

SKILL.md
scripts/transcribe.sh

Open the folder on GitHubat commit f8e594e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in openclaw/openclaw, which our catalogue first saw on October 8, 2026.

Kevin100202/Rocket-Design-and-Manufacturing-Automation-Program-from-Shenzhen22highschoolskills/openai-whisper-api

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
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Openai Whisper API this skillopenclaw/openclaw	392k	1 repos	~518	Automated safety check: Pass	MIT	today
9Router Speech-to-Textdecolua/9router	30k	—	~914	Automated safety check: Pass	MIT	yesterday
Openai Whispercoco-research/coco	503	—	~964	Automated safety check: Pass	Custom licence	today
Openai Whisper APItrpc-group/trpc-agent-go	1.9k	12 repos	~288	Automated safety check: Pass	Apache-2.0	today
Keirouter Sttmydisha/keirouter	147	—	~680	Automated safety check: Pass	MIT	28 days ago
Whisper Speech RecognitionOrchestra-Research/AI-Research-SKILLs	13k	7 repos	~1.9k	Automated safety check: Notes	MIT	3 mo ago

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Questions about Openai Whisper API

What does Openai Whisper API do?

OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1. Openai Whisper API is an agent skill from openclaw/openclaw. OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.

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 openclaw/openclaw --skill openai-whisper-api -a claude-code`. Or copy the skill folder (skills/openai-whisper-api in openclaw/openclaw) 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 openclaw/openclaw --skill openai-whisper-api -a codex`. Or copy the skill folder (skills/openai-whisper-api in openclaw/openclaw) 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 openclaw/openclaw --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 and credentials named OPENAI_API_KEY. Our summary lists: A Bash shell; A credential in OPENAI_API_KEY.

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 518 tokens (SKILL.md is roughly 2.1k 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: 9Router Speech-to-Text (decolua/9router, 30k stars), Openai Whisper (coco-research/coco, 503 stars), Openai Whisper API (trpc-group/trpc-agent-go, 1.9k stars) and Keirouter Stt (mydisha/keirouter, 147 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?

openclaw (a GitHub organization) maintains it in openclaw/openclaw, which has 391,504 GitHub stars. The repository holds 96 skills in this directory. The repository was last updated on October 9, 2026.

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

Openai Whisper API

Install Openai Whisper API

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

OpenAI transcriptions API

Quick start

Useful flags

API key

Files

Used in 1 other repository

Compare with similar skills

Similar skills

9Router Speech-to-Text

Openai Whisper