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.
Speech-to-text transcription via OpenAI Whisper. An agent skill from coco-research/coco.
Install Openai Whisper
$ npx skills add coco-research/coco --skill openai-whisper -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coco-research/coco openai-whisper --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openai-whisper .claude/skills/openai-whisper && rm -rf skills-srcUse ~/.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/
Install the "openai-whisper" agent skill from https://github.com/coco-research/coco/tree/main/skills/openai-whisper into .claude/skills/openai-whisper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper", 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 install https://github.com/coco-research/coco/tree/main/skills/openai-whisperType 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.
$ npx skills add coco-research/coco --skill openai-whisper -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coco-research/coco openai-whisper --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openai-whisper .agents/skills/openai-whisper && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openai-whisper" agent skill from https://github.com/coco-research/coco/tree/main/skills/openai-whisper into .agents/skills/openai-whisper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper", 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.
$ npx skills add coco-research/coco --skill openai-whisper -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coco-research/coco openai-whisper --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openai-whisper .cursor/skills/openai-whisper && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openai-whisper" agent skill from https://github.com/coco-research/coco/tree/main/skills/openai-whisper into .cursor/skills/openai-whisper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper", 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 https://github.com/coco-research/coco.git --path skills/openai-whisper--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add coco-research/coco --skill openai-whisper -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coco-research/coco openai-whisper --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openai-whisper .gemini/skills/openai-whisper && rm -rf skills-srcUse ~/.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/
Install the "openai-whisper" agent skill from https://github.com/coco-research/coco/tree/main/skills/openai-whisper into .gemini/skills/openai-whisper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper", 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.
$ gh skill install coco-research/coco openai-whisperInstalls 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).
$ npx skills add coco-research/coco --skill openai-whisper -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openai-whisper .github/skills/openai-whisper && rm -rf skills-srcUse ~/.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/
Install the "openai-whisper" agent skill from https://github.com/coco-research/coco/tree/main/skills/openai-whisper into .github/skills/openai-whisper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper", 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.
$ npx skills add coco-research/coco --skill openai-whisper -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install coco-research/coco openai-whisper --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openai-whisper .opencode/skills/openai-whisper && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openai-whisper" agent skill from https://github.com/coco-research/coco/tree/main/skills/openai-whisper into .opencode/skills/openai-whisper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-whisper", 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- GitHub stars
- 513
- Token cost
- ~964 tokens
- SKILL.md length
- 244 words
- Files
- 1
- Skills in repo
- 63
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Speech-to-text transcription via OpenAI Whisper. An agent skill from coco-research/coco.
- The user needs to transcribe audio files
- SKILL.md covers Mode 1: Local CLI, Mode 2: Cloud API and Choosing Between Modes
- Calls whisper and curl; reaches api.openai.com; needs OPENAI_API_KEY
- Translate speech
What it does
Openai Whisper is an agent skill from coco-research/coco. Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAIAPIKEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text.
Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Transcription, Speech recognition and synthesis and LLM API integration. It works with Whisper and OpenAI. The repository describes itself as: CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 226 skills, 386 commands…
When your agent uses it
- The user needs to transcribe audio files
- Translate speech
- Convert audio to text
Example prompts
- “/openai-whisper”
Requirements
- A credential in OPENAI_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 1a642ae. 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
Shell commands in SKILL.md call:
whispercurl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.openai.com
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 loads about 964 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 244 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 244 words (~964 tokens).
“Transcribe audio files using OpenAI's Whisper model. Two modes available depending on your needs:”
- name
- openai-whisper
- homepage
- https://openai.com/research/whisper
- domain
- engineering
Files
Just SKILL.md in skills/openai-whisper of coco-research/coco.
Open the folder on GitHubat commit 1a642ae
Compare with similar skills
Openai Whisper 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openai Whisper this skillcoco-research/coco | 513 | — | ~964 | Automated safety check: Pass | Custom licence | |
| 9Router Speech-to-Textdecolua/9router | 31k | — | ~914 | Automated safety check: Pass | MIT | |
| Openai Whisper APIopenclaw/openclaw | 392k | 1 repos | ~518 | Automated safety check: Pass | MIT | |
| Watch Videocoreyhaines31/makerskills | 851 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Openai Whisper APItrpc-group/trpc-agent-go | 1.9k | 12 repos | ~288 | Automated safety check: Pass | Apache-2.0 | |
| Keirouter Sttmydisha/keirouter | 147 | — | ~680 | Automated safety check: Pass | MIT |
Similar skills
Openai Whisper API
openclaw/openclaw
OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
Watch Video
coreyhaines31/makerskills
When you want to extract content from a video — YouTube, Loom, Vimeo, Riverside, Zoom recording, local MP4, X/IG video, anything yt-dlp supports.
Openai Whisper API
trpc-group/trpc-agent-go
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Keirouter Stt
mydisha/keirouter
Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
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.
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Related
Categories
Questions about Openai Whisper
What does Openai Whisper do?
Speech-to-text transcription via OpenAI Whisper. An agent skill from coco-research/coco. Openai Whisper is an agent skill from coco-research/coco. Speech-to-text transcription via OpenAI Whisper.
When should I use Openai Whisper?
Openai Whisper fits situations like: the user needs to transcribe audio files; translate speech; convert audio to text.
How do I install Openai Whisper in Claude Code?
Run `npx skills add coco-research/coco --skill openai-whisper -a claude-code`. Or copy the skill folder (skills/openai-whisper in coco-research/coco) into .claude/skills/openai-whisper in your project. Claude Code loads it when a task matches its description.
How do I install Openai Whisper in Codex?
Run `npx skills add coco-research/coco --skill openai-whisper -a codex`. Or copy the skill folder (skills/openai-whisper in coco-research/coco) into .agents/skills/openai-whisper in your project. Codex loads it when a task matches its description.
Can I use Openai Whisper 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 coco-research/coco --skill openai-whisper -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, .gemini/skills/openai-whisper, .github/skills/openai-whisper and .opencode/skills/openai-whisper in your project.
What does Openai Whisper need to run?
Going by SKILL.md and its folder, Openai Whisper needs the command-line tools its instructions call (whisper and curl) and credentials named OPENAI_API_KEY. Our summary lists: A credential in OPENAI_API_KEY.
Does Openai Whisper access the network?
SKILL.md names 1 domain. In commands or code: api.openai.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Openai Whisper 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. Review the folder before installing.
What licence does Openai Whisper use?
Openai Whisper has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Openai Whisper use?
About 964 tokens (SKILL.md is roughly 3.9k 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?
Skills that share tags, products or a category with Openai Whisper: 9Router Speech-to-Text (decolua/9router, 31k stars), Openai Whisper API (openclaw/openclaw, 392k stars), Watch Video (coreyhaines31/makerskills, 851 stars) and Openai Whisper API (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Openai Whisper?
coco-research (a GitHub user) maintains it in coco-research/coco, which has 513 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on October 10, 2026.
Source: coco-research/coco on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.