keirouter-tts

keirouter-tts is a skill for Claude Code, Codex from mydisha/keirouter. It costs 66 tokens per session (746 once invoked), scanned A, original, MIT.

A text-to-speech tool that sends written text to KeiRouter and returns spoken audio using supported voice providers.

In plain words
What is it for?
Use it to create voiceovers, spoken versions of text, or audio files such as MP3s. It can also support different voices through the available models.
Why use it?
It removes the need to connect separately to each speech service when an application needs to read text aloud or create narration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create voiceovers, spoken versions of text, or audio files…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mydisha/keirouter/keirouter-tts
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mydisha/keirouter --skill keirouter-tts
Clone the repo
git clone --depth 1 https://github.com/mydisha/keirouter

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for keirouter-tts

README.md
[![agentmods](https://agentmods.dev/badge/skills/mydisha/keirouter/keirouter-tts.svg)](https://agentmods.dev/skills/mydisha/keirouter/keirouter-tts)
Your own site
<a href="https://agentmods.dev/skills/mydisha/keirouter/keirouter-tts"><img src="https://agentmods.dev/badge/skills/mydisha/keirouter/keirouter-tts.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 746 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00746
Opus 5 $0.00033 $0.00373
Sonnet 5 $0.00013 $0.00149
Haiku 4.5 $0.00007 $0.00075

Measured 7d ago against content hash 1636922328d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

keirouter-tts scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl $KEIROUTER_URL/v1/models/tts | jq '.data[].id'
skills/keirouter-tts/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

KeiRouter — Text-to-Speech

Requires KEIROUTER_URL (and KEIROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter/SKILL.md for setup.

Discover

# 1) List models
curl $KEIROUTER_URL/v1/models/tts | jq '.data[].id'
# 2) Per-model metadata (params, voicesUrl if voice-by-id)
curl "$KEIROUTER_URL/v1/models/info?id=el/eleven_multilingual_v2"

model field in /v1/audio/speech = voice ID directly (e.g. edge-tts/vi-VN-HoaiMyNeural, el/<voice_id>, or openai/tts-1 model+default voice).

Endpoint

POST $KEIROUTER_URL/v1/audio/speech

Field Required Notes
model yes voice ID from /v1/models/tts
input yes text to speak

Query ?response_format=mp3 (default, raw bytes) or ?response_format=json ({audio: base64, format}).

Examples

Save MP3:

curl -X POST "$KEIROUTER_URL/v1/audio/speech" \
  -H "Authorization: Bearer $KEIROUTER_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/tts-1","input":"Hello world"}' \
  --output speech.mp3

JS (save file):

import { writeFile } from "node:fs/promises";
const r = await fetch(`${process.env.KEIROUTER_URL}/v1/audio/speech`, {
  method: "POST",
  headers: { "Authorization": `Bearer ${process.env.KEIROUTER_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ model: "el/eleven_multilingual_v2", input: "Hello world" }),
});
await writeFile("speech.mp3", Buffer.from(await r.arrayBuffer()));

Response shape

Default → raw audio bytes (Content-Type audio/mp3).

?response_format=json:

{ "audio": "SUQzBAAAA...", "format": "mp3" }

Provider quick reference

Provider model format Notes
OpenAI tts-1/alloy (model/voice) or just voice Default model gpt-4o-mini-tts
ElevenLabs <model_id>/<voice_id> or <voice_id> Default model eleven_flash_v2_5
Edge TTS voice id e.g. vi-VN-HoaiMyNeural noAuth; free
Deepgram aura-asteria-en etc Token auth
Inworld model/voice Provider-specific auth

Read the full file on GitHub · 74 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 74 lines · 66 tokens per session scan A 1636922328d0

Subscribe to this mod's changes

keirouter-tts is a skill published in the GitHub repository mydisha/keirouter (130 stars, last pushed 10d ago), licensed MIT. It adds 66 tokens to every session and 746 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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