Agent skill

Openai Whisper API

by trpc-group in trpc-group/trpc-agent-go

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

Apache-2.0Auto-check passedAI & LLM Engineering

Install Openai Whisper API

skills CLI

$ npx skills add trpc-group/trpc-agent-go --skill openai-whisper-api -a claude-code

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

GitHub CLI

$ gh skill install trpc-group/trpc-agent-go 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/trpc-group/trpc-agent-go.git skills-src && mkdir -p .claude/skills && cp -r skills-src/openclaw/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/trpc-group/trpc-agent-go/tree/main/openclaw/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/trpc-group/trpc-agent-go/tree/main/openclaw/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 trpc-group/trpc-agent-go --skill openai-whisper-api -a codex

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

GitHub CLI

$ gh skill install trpc-group/trpc-agent-go 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/trpc-group/trpc-agent-go.git skills-src && mkdir -p .agents/skills && cp -r skills-src/openclaw/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/trpc-group/trpc-agent-go/tree/main/openclaw/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 trpc-group/trpc-agent-go --skill openai-whisper-api -a cursor

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

GitHub CLI

$ gh skill install trpc-group/trpc-agent-go 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/trpc-group/trpc-agent-go.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/openclaw/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/trpc-group/trpc-agent-go/tree/main/openclaw/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/trpc-group/trpc-agent-go.git --path openclaw/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 trpc-group/trpc-agent-go --skill openai-whisper-api -a gemini-cli

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

GitHub CLI

$ gh skill install trpc-group/trpc-agent-go 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/trpc-group/trpc-agent-go.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/openclaw/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/trpc-group/trpc-agent-go/tree/main/openclaw/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 trpc-group/trpc-agent-go 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 trpc-group/trpc-agent-go --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/trpc-group/trpc-agent-go.git skills-src && mkdir -p .github/skills && cp -r skills-src/openclaw/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/trpc-group/trpc-agent-go/tree/main/openclaw/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 trpc-group/trpc-agent-go --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 trpc-group/trpc-agent-go 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/trpc-group/trpc-agent-go.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/openclaw/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/trpc-group/trpc-agent-go/tree/main/openclaw/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: 1.9k
Used in: 12 other repos
Token cost: ~288 tokens
SKILL.md length: 30 words
Files: 2 (incl. scripts)
Skills in repo: 47
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

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 trpc-group/trpc-agent-go. Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

Its SKILL.md is about 290 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 AI & LLM Engineering, covering Transcription and Speech recognition and synthesis. It works with Whisper and OpenAI. The repository describes itself as: A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability. The licence is Apache-2.0.

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 7d53a6c. 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 288 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 30 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~21
When it runs · the whole SKILL.md, loaded when a task matches: ~288

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 trpc-group/trpc-agent-go at commit 7d53a6c, republished under its Apache-2.0 licence (© trpc-group). 30 words, ~288 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 Audio Transcriptions API (Whisper).
homepage: https://platform.openai.com/docs/guides/speech-to-text

OpenAI Whisper API (curl)

Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint.

Quick start

bash

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

Defaults:

Model: whisper-1
Output: <input>.txt

Useful flags

bash

{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
{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

API key

Set OPENAI_API_KEY, or configure it in ~/.openclaw/openclaw.json:

json5

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

Files

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

SKILL.md
scripts/transcribe.sh

Open the folder on GitHubat commit 7d53a6c

Used in 12 other repositories

We found 14 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 12 other GitHub owners. This page covers the copy in trpc-group/trpc-agent-go, which our catalogue first saw on October 7, 2026.

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 skilltrpc-group/trpc-agent-go	1.9k	12 repos	~288	Automated safety check: Pass	Apache-2.0	today
Whisper Speech RecognitionOrchestra-Research/AI-Research-SKILLs	13k	7 repos	~1.9k	Automated safety check: Notes	MIT	3 mo ago
9Router Speech-to-Textdecolua/9router	30k	—	~914	Automated safety check: Pass	MIT	today
Openai Whisper APIopenclaw/openclaw	392k	1 repos	~518	Automated safety check: Pass	MIT	today
Openai Whispercoco-research/coco	503	—	~964	Automated safety check: Pass	Custom licence	today
Keirouter Sttmydisha/keirouter	147	—	~680	Automated safety check: Pass	MIT	28 days ago

Similar skills

Whisper Speech Recognition
Orchestra-Research/AI-Research-SKILLs
Transcribes audio with OpenAI's Whisper: 99 languages, translation to English, language detection, six model sizes and word-level timestamps, from Python or the CLI.
13k GitHub starsUsed in 7 repos~1.9k tokens
AI & LLM EngineeringAuto-check: notes
9Router Speech-to-Text
decolua/9router
Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.
30k GitHub stars~914 tokensUpdated today
Media & CreativeAuto-check passed
Openai Whisper API
openclaw/openclaw
OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
392k GitHub starsUsed in 1 repo~518 tokens
Media & CreativeAuto-check passed
Openai Whisper
coco-research/coco
Speech-to-text transcription via OpenAI Whisper. An agent skill from coco-research/coco.
503 GitHub stars~964 tokensUpdated today
Media & CreativeAuto-check passed
Keirouter Stt
mydisha/keirouter
Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
147 GitHub stars~680 tokensUpdated 28 days ago
Media & CreativeAuto-check passed
Use Local Whisper
sbusso/claudeclaw
A skill your agent uses when the user wants local voice transcription instead of OpenAI Whisper API.
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Questions about Openai Whisper API

What does Openai Whisper API do?

Transcribe audio via OpenAI Audio Transcriptions API (Whisper). Openai Whisper API is an agent skill from trpc-group/trpc-agent-go. Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

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 trpc-group/trpc-agent-go --skill openai-whisper-api -a claude-code`. Or copy the skill folder (openclaw/skills/openai-whisper-api in trpc-group/trpc-agent-go) 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 trpc-group/trpc-agent-go --skill openai-whisper-api -a codex`. Or copy the skill folder (openclaw/skills/openai-whisper-api in trpc-group/trpc-agent-go) 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 trpc-group/trpc-agent-go --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 Apache-2.0 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 288 tokens (SKILL.md is roughly 1.2k 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 Speech Recognition (Orchestra-Research/AI-Research-SKILLs, 13k stars), 9Router Speech-to-Text (decolua/9router, 30k stars), Openai Whisper API (openclaw/openclaw, 392k stars) and Openai Whisper (coco-research/coco, 503 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?

trpc-group (a GitHub organization) maintains it in trpc-group/trpc-agent-go, which has 1,853 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on October 9, 2026.

Source: trpc-group/trpc-agent-go 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 Whisper API (curl)

Quick start

Useful flags

API key

Files

Used in 12 other repositories

Compare with similar skills

Similar skills

Whisper Speech Recognition

9Router Speech-to-Text

Openai Whisper API

Openai Whisper

Keirouter Stt

Use Local Whisper

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Questions about 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 Whisper API (curl)

Quick start

Useful flags

API key

Files

Used in 12 other repositories

Compare with similar skills

Similar skills

More from trpc-group/trpc-agent-go

Related

Questions about Openai Whisper API