Borrowing it
Nothing to install: this file belongs to coleam00/hyperframes-ai-video-generation. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/coleam00/hyperframes-ai-video-generation/main/.claude/skills/text-to-speech/SKILL.mdgit clone --depth 1 https://github.com/coleam00/hyperframes-ai-video-generationWrote 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/coleam00/hyperframes-ai-video-generation/text-to-speech)<a href="https://agentmods.dev/skills/coleam00/hyperframes-ai-video-generation/text-to-speech"><img src="https://agentmods.dev/badge/skills/coleam00/hyperframes-ai-video-generation/text-to-speech/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/coleam00/hyperframes-ai-video-generation/text-to-speech"><img src="https://agentmods.dev/badge/skills/coleam00/hyperframes-ai-video-generation/text-to-speech.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 | $0.00040 | $0.03064 |
| Opus 5 | $0.00020 | $0.01532 |
| Sonnet 5 | $0.00008 | $0.00613 |
| Haiku 4.5 | $0.00004 | $0.00306 |
Grade A, and why
text-to-speech 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 9d 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 -X POST "https://api.elevenlabs.io/v1/text-to-speech/JBFqnCBsd6RMkjVDRZzb" \ The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
3 files 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.
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.
- 9d ago First seen · 301 lines · 40 tokens per session scan A 9011b941eab1
text-to-speech is a skill published in the GitHub repository coleam00/hyperframes-ai-video-generation (137 stars, last pushed 3mo ago), with no licence file. It adds 40 tokens to every session and 3,064 once invoked, about $0.0002 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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