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.
npx skills add perniemann/pnCore --skill pn-ttsgit clone --depth 1 https://github.com/perniemann/pnCoreWrote 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.
[](https://agentmods.dev/skills/perniemann/pncore/pn-tts)<a href="https://agentmods.dev/skills/perniemann/pncore/pn-tts"><img src="https://agentmods.dev/badge/skills/perniemann/pncore/pn-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.
<a href="https://agentmods.dev/skills/perniemann/pncore/pn-tts"><img src="https://agentmods.dev/badge/skills/perniemann/pncore/pn-tts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.01698 |
| Opus 5.5 | $0.00029 | $0.00679 |
| Sonnet 5.5 | $0.00015 | $0.00340 |
| Haiku 4.5 | $0.00007 | $0.00170 |
Grade A, and why
pn-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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Text-to-speech (TTS)
When to use
- A video composition (
pn-html-to-videoorpn-generative-video-pipelines) requires narration audio before render. - A marketing cut, demo video, or social reel needs voiceover without a recording studio.
- Captions or subtitle tracks must be derived from narration timing (feed output into
pn-transcribe). - Localized variants need the same script in multiple languages or voice styles.
Tool selection
| Tool | Model / tier | Best fit | Notes |
|---|---|---|---|
| ElevenLabs | Multilingual v3, Flash v2.5 | Highest prosody quality, voice cloning, streaming | Paid; Flash tier cheaper for batch; supports SSML subset |
| OpenAI TTS | tts-1, tts-1-hd |
Fast, API-simple, good for short clips | No SSML; tts-1-hd for delivery masters; 6 built-in voices |
| Kokoro / TTS-1 local | Kokoro-82M or similar ONNX | Air-gapped, no cost per character, repeatable | Requires local model; quality below ElevenLabs on nuanced prosody |
| Azure / Google Cloud TTS | Neural2, Azure Neural | Enterprise compliance, 100+ languages, WaveNet | SSML full support; cost at scale |
Default recommendation: ElevenLabs (quality-first) or OpenAI TTS-1-hd (API-simple). Use local only when the content is sensitive or offline is required.
Voice specification
Declare before generating:
- Voice ID or name — lock it; do not let the API pick a random default.
- Language and locale —
en-USvsen-GBvsde-DE; accent matters for credibility. - Speaking rate —
0.9–1.1for narration;0.85for slower explanatory content. - Stability / similarity / expressiveness (ElevenLabs) — stability 0.5–0.65 for engaging narration; similarity 0.75–0.85; expressiveness 0.5–0.7.
Script preparation
- One sentence per line in the input text. This makes timestamp alignment easier and limits runaway prosody errors.
- Punctuation drives prosody. Em dashes (
—) create pause-like pauses; ellipsis (...) elongates final syllable; question marks raise inflection. Use deliberately. - Numbers and abbreviations: Spell out what the model may mispronounce (
$1,200→ "twelve hundred dollars";API→ "A-P-I" or "ay-pee-eye" depending on brand). - Maximum chunk length: Many APIs cap at 5 000 characters. Split at natural paragraph breaks; plan overlapping 0.5s fade edges when concatenating.
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.
- 1mo ago First seen · 120 lines · 73 tokens per session scan A 470703bbaf4e
pn-tts is a skill published in the GitHub repository perniemann/pnCore (0 stars, last pushed 4d ago), licensed MIT. It adds 73 tokens to every session and 1,698 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
typescript
TypeScript coding conventions, best practices, and patterns for writing clean, maintainable code.
i18n-date-patterns
Implements internationalization (i18n) in React applications. Covers user-facing strings, date/time handling, locale-aware formatting, ICU MessageFormat, and RTL support. Use when building multilingual UIs or formatting dates/currency.
inclusive-design
Use when working on inclusion, i18n/localization, global name/address forms, low-end devices, slow/metered networks, affordability, or first-time/low-confidence users; not WCAG/screen readers (see accessibility).
js-gof
Apply Gang of Four and related design patterns in JavaScript and TypeScript. Use when implementing creational, structural, or behavioral patterns, or when the user mentions factories, builder, prototype, flyweight, singleton, object pool, adapter, wrapper, decorator, proxy, bridge, composite, facade, chain of…
error-handling
Apply error handling and recovery patterns in JavaScript/TypeScript or Node.js. Use when implementing error handling, retry logic, or when the user mentions domain errors, error recovery, error escalation.
typescript-development
You MUST activate this skill when working on TypeScript or JavaScript projects.