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 MerkyorLynn/Lynn --skill audiobook-makergit clone --depth 1 https://github.com/MerkyorLynn/LynnWrote 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/merkyorlynn/lynn/audiobook-maker)<a href="https://agentmods.dev/skills/merkyorlynn/lynn/audiobook-maker"><img src="https://agentmods.dev/badge/skills/merkyorlynn/lynn/audiobook-maker/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/merkyorlynn/lynn/audiobook-maker"><img src="https://agentmods.dev/badge/skills/merkyorlynn/lynn/audiobook-maker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00313 |
| Opus 5 | $0.00018 | $0.00156 |
| Sonnet 5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
audiobook-maker 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 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.
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
Audiobook Maker 有声书制作
当用户要求"把这篇文章读出来"、"生成有声书"、"我要听这个报告"时使用。
制作流程
- 评估长度：若文本 > 3000 字，按自然段落分块（每块 ≤ 2500 字）
- 调用 tts_speak：逐块生成音频，文件名带序号（如
chapter_01、chapter_02） - 保存到书桌：所有音频文件放入书桌
audio/子目录 - 通知用户：生成完成后用 notify 工具告知用户总时长和文件列表
参数建议
- 小说/散文：speed 0.9，温柔音色
- 新闻/报告：speed 1.1，清晰音色
- 社媒/短内容：speed 1.2，活泼音色
注意事项
- 每次调用 tts_speak 文本不超过 3000 字，超出请分段
- 生成过程中如遇失败，记录失败块序号，最后统一告知用户
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 · 26 lines · 36 tokens per session scan A 8ab9d21a4103
audiobook-maker is a skill published in the GitHub repository MerkyorLynn/Lynn (42 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 313 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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