tts-production

tts-production is a skill for Claude Code from Galbaz1/video-research-mcp. It costs 43 tokens per session (1,766 once invoked), scanned A, original, MIT.

A guide for making spoken narration from text with ElevenLabs, a text-to-speech service that turns written words into voice audio.

In plain words
What is it for?
It is for generating multilingual narration, tuning voices, adding timestamps, and preparing voiceover audio files.
Why use it?
It helps produce voiceovers with chosen voice settings, timing information, and audio mixing such as lowering background sound under speech.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the gr plugin — 27 skills, 17 commands, 7 agents shipped together

Good fit It is for generating multilingual narration, tuning voices, adding timestamps, and preparing voiceover audio files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/galbaz1/video-research-mcp/tts-production
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 Galbaz1/video-research-mcp --skill tts-production
Clone the repo
git clone --depth 1 https://github.com/Galbaz1/video-research-mcp

Made for: Claude Code.

Or install gr, the plugin that ships this one along with the rest of its 27 skills, 17 commands, 7 agents.

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 tts-production

README.md
[![agentmods](https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/tts-production/github.svg)](https://agentmods.dev/skills/galbaz1/video-research-mcp/tts-production)
Your own site
<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/tts-production"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/tts-production/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tts-production

Your own site · 80×15
<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/tts-production"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/tts-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,766 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 $0.00043 $0.01766
Opus 5.5 $0.00017 $0.00706
Sonnet 5.5 $0.00009 $0.00353
Haiku 4.5 $0.00004 $0.00177

Measured 20d ago against content hash d129d1aa5d0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tts-production 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 20d 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 --fail-with-body -sS -X POST "https://api.elevenlabs.io/v1/text-to-speech/${VOICE_ID}/with-timestamps" \
skills/tts-production/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TTS Production with ElevenLabs

Generate, audition and mix narration using the ElevenLabs Text-to-Speech API. Model guidance was checked on 2026-10-07 against the official ElevenLabs TTS skill and models documentation; re-check the live endpoint, voice eligibility, quota and price before execution.

This skill uses the official HTTP API; inspect the actual schema if an optional connector is used. Use narration audition for spoken phrasing, delivery and the audition decision. Keep voice identifiers and account receipts in the private execution record.

API Pattern

Text-to-Speech with Timestamps (recommended)

curl --fail-with-body -sS -X POST "https://api.elevenlabs.io/v1/text-to-speech/${VOICE_ID}/with-timestamps" \
  -H "xi-api-key: ${ELEVENLABS_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Your text here",
    "model_id": "eleven_v4",
    "voice_settings": {
      "stability": 0.75,
      "similarity_boost": 0.80
    }
  }' \
  --output /tmp/tts-response.json

Decode Response

import json, base64
with open('/tmp/tts-response.json', 'r') as f:
    data = json.load(f)
audio_bytes = base64.b64decode(data['audio_base64'])
with open('output.mp3', 'wb') as f:
    f.write(audio_bytes)
ends = data.get('alignment', {}).get('character_end_times_seconds', [])
print(f'Duration: {ends[-1]:.2f}s' if ends else 'No timestamps')

Simple TTS (no timestamps)

curl --fail-with-body -sS -X POST "https://api.elevenlabs.io/v1/text-to-speech/${VOICE_ID}" \
  -H "xi-api-key: ${ELEVENLABS_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{ "text": "Your text here", "model_id": "eleven_v4", "voice_settings": { "stability": 0.75, "similarity_boost": 0.80 } }' \
  --output output.mp3

Sound Effects Generation

Read the full file on GitHub · 131 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 20d ago Changed · -3 lines d129d1aa5d0e
  2. 27d ago Changed · +6 lines 28f177ea3aba
  3. 1mo ago First seen · 128 lines · 43 tokens per session scan A 9dd41bbed809

Subscribe to this mod's changes

tts-production is a skill published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 4d ago), licensed MIT. It adds 43 tokens to every session and 1,766 once invoked, about $0.0002 per session on Opus 5.5. 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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