script-to-tts

script-to-tts is a skill for Claude Code from danielrosehill/Claude-AI-Video-Producer-Plugin. It costs 123 tokens per session (777 once invoked), scanned A, original, MIT.

A formatter that adapts a finished script for a selected text-to-speech system. Text-to-speech turns written words into spoken audio, and different systems accept different text formats and limits.

In plain words
What is it for?
Use it to split voice-over into model-sized chunks, add supported pauses or speech controls, and create per-line input files for services such as ElevenLabs, OpenAI TTS, Google, Azure, Hume, or Chatterbox.
Why use it?
It removes visual directions that should not be spoken and prepares the words for the chosen voice model’s pacing, emphasis, markup, and request size rules.

Skill for Claude Code

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

Part of the ai-video-producer plugin — 11 skills, 11 commands, 7 agents, 3 MCP servers shipped together

Good fit Use it to split voice-over into model-sized chunks, add supported pauses or speech controls, and create per-line input files for services such as ElevenLabs, OpenAI TTS, Google, Azure, Hume, or Chatterbox.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielrosehill/claude-ai-video-producer-plugin/script-to-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 danielrosehill/Claude-AI-Video-Producer-Plugin --skill script-to-tts
Clone the repo
git clone --depth 1 https://github.com/danielrosehill/Claude-AI-Video-Producer-Plugin

Made for: Claude Code.

Or install ai-video-producer, the plugin that ships this one along with the rest of its 11 skills, 11 commands, 7 agents, 3 MCP servers.

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 script-to-tts

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielrosehill/claude-ai-video-producer-plugin/script-to-tts/github.svg)](https://agentmods.dev/skills/danielrosehill/claude-ai-video-producer-plugin/script-to-tts)
Your own site
<a href="https://agentmods.dev/skills/danielrosehill/claude-ai-video-producer-plugin/script-to-tts"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-ai-video-producer-plugin/script-to-tts/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 script-to-tts

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielrosehill/claude-ai-video-producer-plugin/script-to-tts"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-ai-video-producer-plugin/script-to-tts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 777 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00123 $0.00777
Opus 5 $0.00062 $0.00388
Sonnet 5 $0.00025 $0.00155
Haiku 4.5 $0.00012 $0.00078

Measured 12d ago against content hash ab7414a449b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

script-to-tts scanned grade A with 0 findings 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 12d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/script-to-tts/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Script → TTS reformatter

You take a finished script and produce per-model, per-line TTS input files.

Inputs

  • scripts/final/script.md (or a draft path the user passes).
  • Target model — ask if not stated. Common: elevenlabs, openai-tts, google-tts, azure-tts, hume, chatterbox.
  • Voice ID / preset, if known. Pull from brief/tools-and-models.md if listed.

Per-model behaviour

Model Format Notable conventions
ElevenLabs plain text + inline <break time="500ms"/> Keep chunks ≤ 5000 chars per request. Don't over-use breaks — the v3 models pace naturally.
OpenAI TTS plain text No SSML. Use punctuation for pacing. ≤ 4096 chars per request.
Google Cloud TTS SSML Full SSML supported: <break>, <emphasis>, <prosody rate="…" pitch="…">.
Azure (neural) SSML with <voice> + mstts:express-as styles Style + degree work for some voices; check voice's supported styles.
Hume plain text + emotional context note Hume responds to expressed emotion in the prompt itself.
Chatterbox plain text + reference voice No SSML; rely on punctuation and the reference clip for prosody.

Steps

  1. Read script. Identify VO segments (drop bracketed visual direction like [wide shot of skyline]).
  2. Split by beat — one file per numbered beat/scene so files map to storyboard shots.
  3. Normalise:
    • Spell out unusual abbreviations (API → keep, e.g. → "for example") if the model is known to mangle them.
    • Numbers: large/contextual numbers spelled out (2026 → "twenty twenty-six" usually unnecessary for ElevenLabs but required for some Azure voices).
    • Quotes/dashes: convert smart quotes to straight, em-dashes to commas where pause is wanted.
  4. Insert pacing markers per the model's supported syntax. Be conservative — a comma is usually enough.
  5. Save:
    • SSML models: scripts/tts/<model>/<NN>-<slug>.ssml
    • Plain models: scripts/tts/<model>/<NN>-<slug>.txt
  6. Emit a scripts/tts/<model>/INDEX.md listing each file, character count, estimated duration (chars × ~14ms for typical speech rate), and the voice ID to use.

Read the full file on GitHub · 47 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. 12d ago First seen · 47 lines · 123 tokens per session scan A ab7414a449b2

Subscribe to this mod's changes

script-to-tts is a skill published in the GitHub repository danielrosehill/Claude-AI-Video-Producer-Plugin (4 stars, last pushed 4mo ago), licensed MIT. It adds 123 tokens to every session and 777 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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