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 agentmods add skills/rayan55050/progressive-agent/ttsnpx skills add Rayan55050/progressive-agent --skill ttsgit clone --depth 1 https://github.com/Rayan55050/progressive-agentWrote 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/rayan55050/progressive-agent/tts)<a href="https://agentmods.dev/skills/rayan55050/progressive-agent/tts"><img src="https://agentmods.dev/badge/skills/rayan55050/progressive-agent/tts.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00509 |
| Opus 5 | $0.00008 | $0.00254 |
| Sonnet 5 | $0.00003 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
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 5d 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.
What it actually says
TTS Skill — Text-to-Speech & Animated Video Circles
Tool: tts
Convert text to speech. Video circles show animated robot avatar with audio waveform.
Providers
- Primary: OpenAI TTS (tts-1-hd) — most natural voice (needs OPENAI_API_KEY)
- Free: edge-tts Multilingual Neural — good quality, no API key needed
Parameters
text(required) — text to speakvoice(optional):- OpenAI:
onyx(deep male),echo,fable,alloy,nova,shimmer - edge-tts multilingual (best free):
brian(deep male, default),andrew(warm male),ava(female),emma(female) - edge-tts standard:
ru-male,ru-female,en-male,en-female,uk-male,uk-female
- OpenAI:
format(optional) —video_note(animated circle, default) oraudio(voice message)
Rules
- Default format is
video_note— animated video with audio waveform on robot face - For long texts (>800 chars), text will be truncated to fit 60s video limit
- Default voice is
brian(Multilingual, natural sounding) — use it for most responses - The media is sent automatically after generation — just call the tool
- Don't repeat the entire text in your message — just confirm it was generated
- If user says "ответь кружочком" — summarize your response in a short text and send as video_note
- When user sends a video circle, respond with a circle too (auto-hint is added)
- Keep circle responses SHORT (2-4 sentences) — long text = long boring video
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.
- 5d ago First seen · 47 lines · 15 tokens per session scan A 0ce3b0d91b22
tts is a skill published in the GitHub repository Rayan55050/progressive-agent (2 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 509 once invoked, about $0.0001 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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