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 via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
Install Keirouter Stt
$ npx skills add mydisha/keirouter --skill keirouter-stt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mydisha/keirouter keirouter-stt --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/mydisha/keirouter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keirouter-stt .claude/skills/keirouter-stt && 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 "keirouter-stt" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-stt into .claude/skills/keirouter-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-stt", 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/mydisha/keirouter/tree/main/skills/keirouter-sttType 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 mydisha/keirouter --skill keirouter-stt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mydisha/keirouter keirouter-stt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/keirouter-stt .agents/skills/keirouter-stt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "keirouter-stt" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-stt into .agents/skills/keirouter-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-stt", 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 mydisha/keirouter --skill keirouter-stt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mydisha/keirouter keirouter-stt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/keirouter-stt .cursor/skills/keirouter-stt && 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 "keirouter-stt" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-stt into .cursor/skills/keirouter-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-stt", 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/mydisha/keirouter.git --path skills/keirouter-stt--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 mydisha/keirouter --skill keirouter-stt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mydisha/keirouter keirouter-stt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/keirouter-stt .gemini/skills/keirouter-stt && 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 "keirouter-stt" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-stt into .gemini/skills/keirouter-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-stt", 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 mydisha/keirouter keirouter-sttInstalls 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 mydisha/keirouter --skill keirouter-stt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/keirouter-stt .github/skills/keirouter-stt && 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 "keirouter-stt" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-stt into .github/skills/keirouter-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-stt", 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 mydisha/keirouter --skill keirouter-stt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mydisha/keirouter keirouter-stt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mydisha/keirouter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/keirouter-stt .opencode/skills/keirouter-stt && 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 "keirouter-stt" agent skill from https://github.com/mydisha/keirouter/tree/main/skills/keirouter-stt into .opencode/skills/keirouter-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keirouter-stt", 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
keirouter-stt- GitHub stars
- 147
- Token cost
- ~680 tokens
- SKILL.md length
- 134 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
- The user wants to transcribe audio
- SKILL.md covers Discover, Endpoint, Examples and Response shape, plus 1 more section
- Calls curl and jq; needs KEIROUTER_KEY
- Convert speech to text
What it does
Keirouter Stt is an agent skill from mydisha/keirouter. Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
Its SKILL.md is about 680 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 and Speech recognition and synthesis. It works with Whisper, Deepgram and OpenAI. The repository describes itself as: Your friendly, blazing-fast, self-hostable AI gateway. The licence is MIT.
When your agent uses it
- The user wants to transcribe audio
- Convert speech to text
- Get subtitles from audio files
Example prompts
- “/keirouter-stt”
Requirements
- A credential in KEIROUTER_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 3d8b702. 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:
curljq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
KEIROUTER_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Keirouter Stt loads about 680 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 134 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
The full file from mydisha/keirouter at commit 3d8b702, republished under its MIT licence (© mydisha). 134 words, ~680 tokens.
Download SKILL.mdSave it as
.claude/skills/keirouter-stt/SKILL.md (or your agent's skills folder).- name
- keirouter-stt
- description
- Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
KeiRouter — Speech-to-Text
Requires KEIROUTER_URL (and KEIROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter/SKILL.md for setup.
Discover
curl $KEIROUTER_URL/v1/models/stt | jq '.data[].id'
# Per-model params (language, response_format, prompt, temperature support)
curl "$KEIROUTER_URL/v1/models/info?id=openai/whisper-1"model = STT model ID (e.g. openai/whisper-1, groq/whisper-large-v3, deepgram/nova-3, gemini/gemini-2.5-flash).
Endpoint
POST $KEIROUTER_URL/v1/audio/transcriptions (OpenAI Whisper compatible, multipart/form-data)
| Field | Required | Notes |
|---|---|---|
model | yes | from /v1/models/stt |
file | yes | audio file (mp3, wav, m4a, webm, ogg, flac) |
language | no | ISO-639-1 (e.g. en, vi) |
prompt | no | hint text to guide transcription |
response_format | no | json (default) / text / verbose_json / srt / vtt |
temperature | no | 0–1 |
Examples
curl -X POST "$KEIROUTER_URL/v1/audio/transcriptions" \
-H "Authorization: Bearer $KEIROUTER_KEY" \
-F "model=openai/whisper-1" \
-F "file=@audio.mp3" \
-F "language=en"JS (Node):
import { createReadStream } from "node:fs";
const form = new FormData();
form.append("model", "groq/whisper-large-v3-turbo");
form.append("file", new Blob([await (await import("node:fs/promises")).readFile("audio.mp3")]), "audio.mp3");
const r = await fetch(`${process.env.KEIROUTER_URL}/v1/audio/transcriptions`, {
method: "POST",
headers: { "Authorization": `Bearer ${process.env.KEIROUTER_KEY}` },
body: form,
});
const { text } = await r.json();
console.log(text);Response shape
Default (response_format=json):
{ "text": "Hello, this is the transcription." }verbose_json adds language, duration, segments[] with timestamps.
srt / vtt return subtitle text.
Provider quick reference
| Provider | model format | Notes |
|---|---|---|
| OpenAI | whisper-1, gpt-4o-transcribe, gpt-4o-mini-transcribe | Native OpenAI shape |
| Groq | whisper-large-v3, whisper-large-v3-turbo | Fastest; OpenAI shape |
| Gemini | gemini-2.5-flash, gemini-2.5-pro | Server converts to generateContent with audio |
| Deepgram | nova-3, nova-2 | Token auth; server adapts response |
| AssemblyAI | universal-3-pro, universal-2 | Async upload+poll handled server-side |
© mydisha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/keirouter-stt of mydisha/keirouter.
Open the folder on GitHubat commit 3d8b702
Compare with similar skills
Keirouter Stt 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 |
|---|---|---|---|---|---|---|
| Keirouter Stt this skillmydisha/keirouter | 147 | — | ~680 | Automated safety check: Pass | MIT | |
| 9Router Speech-to-Textdecolua/9router | 30k | — | ~914 | Automated safety check: Pass | MIT | |
| Openai Whisper APIopenclaw/openclaw | 392k | 1 repos | ~518 | Automated safety check: Pass | MIT | |
| Deepgram Migration Deep Divejeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Openai Whispercoco-research/coco | 503 | — | ~964 | Automated safety check: Pass | Custom licence | |
| Openai Whisper APItrpc-group/trpc-agent-go | 1.9k | 12 repos | ~288 | Automated safety check: Pass | Apache-2.0 |
Similar skills
Openai Whisper API
openclaw/openclaw
OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
Deepgram Migration Deep Dive
jeremylongshore/tons-of-skills-marketplace
Deep dive into migrating to Deepgram from other transcription providers.
Openai Whisper
coco-research/coco
Speech-to-text transcription via OpenAI Whisper. An agent skill from coco-research/coco.
Openai Whisper API
trpc-group/trpc-agent-go
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Transcribe Anything
swyxio/skills
Transcribes audio and video files to text using pluggable ASR backends.
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Related
Categories
Questions about Keirouter Stt
What does Keirouter Stt do?
Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models. Keirouter Stt is an agent skill from mydisha/keirouter. Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models.
When should I use Keirouter Stt?
Keirouter Stt fits situations like: the user wants to transcribe audio; convert speech to text; get subtitles from audio files.
How do I install Keirouter Stt in Claude Code?
Run `npx skills add mydisha/keirouter --skill keirouter-stt -a claude-code`. Or copy the skill folder (skills/keirouter-stt in mydisha/keirouter) into .claude/skills/keirouter-stt in your project. Claude Code loads it when a task matches its description.
How do I install Keirouter Stt in Codex?
Run `npx skills add mydisha/keirouter --skill keirouter-stt -a codex`. Or copy the skill folder (skills/keirouter-stt in mydisha/keirouter) into .agents/skills/keirouter-stt in your project. Codex loads it when a task matches its description.
Can I use Keirouter Stt 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 mydisha/keirouter --skill keirouter-stt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keirouter-stt, .gemini/skills/keirouter-stt, .github/skills/keirouter-stt and .opencode/skills/keirouter-stt in your project.
What does Keirouter Stt need to run?
Going by SKILL.md and its folder, Keirouter Stt needs the command-line tools its instructions call (curl and jq) and credentials named KEIROUTER_KEY. Our summary lists: A credential in KEIROUTER_KEY.
Does Keirouter Stt access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Keirouter Stt 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 Keirouter Stt use?
Keirouter Stt 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 Keirouter Stt use?
About 680 tokens (SKILL.md is roughly 2.7k 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 Keirouter Stt?
Skills that share tags, products or a category with Keirouter Stt: 9Router Speech-to-Text (decolua/9router, 30k stars), Openai Whisper API (openclaw/openclaw, 392k stars), Deepgram Migration Deep Dive (jeremylongshore/tons-of-skills-marketplace, 2.8k 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 Keirouter Stt?
mydisha (a GitHub user) maintains it in mydisha/keirouter, which has 147 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 11, 2026.
Source: mydisha/keirouter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.