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 cklxx/elephant.ai --skill audio-ttsgit clone --depth 1 https://github.com/cklxx/elephant.aiWrote 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/cklxx/elephant.ai/audio-tts)<a href="https://agentmods.dev/skills/cklxx/elephant.ai/audio-tts"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/audio-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/cklxx/elephant.ai/audio-tts"><img src="https://agentmods.dev/badge/skills/cklxx/elephant.ai/audio-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 | $0.00031 | $0.00435 |
| Opus 5 | $0.00015 | $0.00217 |
| Sonnet 5 | $0.00006 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
audio-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 11d 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
audio-tts
使用 macOS 自带 say 生成语音，并转成 m4a。
Requirements
- macOS（内置
say） afconvert（macOS 自带）
Usage
python3 skills/audio-tts/run.py speak --text '你好，这是语音测试'
Parameters
speak
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
| text | string | 是 | 朗读文本 |
| voice | string | 否 | voice 名称（如 Ting-Ting / Samantha），默认空（系统默认） |
| rate | int | 否 | 语速 WPM（say 的 -r 参数） |
| output | string | 否 | 输出路径（默认 /tmp/tts_.m4a） |
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.
- 11d ago First seen · 48 lines · 31 tokens per session scan A e0fc25f0c037
audio-tts is a skill published in the GitHub repository cklxx/elephant.ai (11 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 435 once invoked, about $0.0002 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 2026-08-30.
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