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 aliang2052/aliang-skills --skill aliang-podcast-makergit clone --depth 1 https://github.com/aliang2052/aliang-skillsWrote 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/aliang2052/aliang-skills/aliang-podcast-maker)<a href="https://agentmods.dev/skills/aliang2052/aliang-skills/aliang-podcast-maker"><img src="https://agentmods.dev/badge/skills/aliang2052/aliang-skills/aliang-podcast-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/aliang2052/aliang-skills/aliang-podcast-maker"><img src="https://agentmods.dev/badge/skills/aliang2052/aliang-skills/aliang-podcast-maker.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 | $0.00039 | $0.01225 |
| Opus 5 | $0.00019 | $0.00613 |
| Sonnet 5 | $0.00008 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00122 |
Grade A, and why
aliang-podcast-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 12d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
多人对话播客制作 Skill
触发词
当用户提供多角色对话脚本、播客剧本、访谈内容,并要求"做成声音"、"制作播客"、"配音"时使用。
工作流
第一步:分析对话,分配音色
- 识别对话中的角色数量和各自特点(性格、年龄、语气)
- 列出可用音色:
bl speech synthesize --list-voices --model cosyvoice-v3-flash
- 为每个角色匹配合适的音色:
| 角色类型 | 推荐音色 | 说明 |
|---|---|---|
| 活泼女性 | longanhuan |
欢脱元气女 |
| 沉稳女性 | longxiaoxia_v3 |
沉稳权威女 |
| 知性女性 | longanwen_v3 |
优雅知性女 |
| 磁性男性 | longtian_v3 |
磁性理智男 |
| 温暖男性 | longze_v3 |
温暖元气男 |
| 青年男性 | longcheng_v3 |
智慧青年男 |
- 向用户展示音色方案,确认后继续。
第二步:逐句生成语音
创建临时目录存放分句音频:
mkdir -p {输出目录}/{对话标题}_语音
按对话顺序,为每句生成音频。阿琳用 longanhuan、老陈用 longtian_v3 举例:
# 阿琳第1句
bl speech synthesize \
--text "好了,咱今天就唠唠——AI 这么猛,到底还需要什么样的人才?" \
--voice longanhuan \
--out "{输出目录}/{对话标题}_语音/阿琳_01.mp3"
# 老陈第1句
bl speech synthesize \
--text "我觉得是 T 字型的人。" \
--voice longtian_v3 \
--out "{输出目录}/{对话标题}_语音/老陈_01.mp3"
继续为所有对话逐句生成。命名格式:{角色名}_{序号}.mp3
注意:
- 使用
--model cosyvoice-v3-flash(系统音色默认,可不写) - 如需调整语速/语调,添加
--rate/--pitch参数
第三步:创建 ffmpeg 拼接列表
在语音目录下创建 concat_list.txt,按对话顺序排列:
file '阿琳_01.mp3'
file '老陈_01.mp3'
file '阿琳_02.mp3'
file '老陈_02.mp3'
...
第四步:拼接为完整音频
关键发现:Bailian TTS 虽然输出 .mp3 扩展名,实际格式是 WAV(PCM)。 因此拼接时必须转码:
ffmpeg -y -f concat -safe 0 -i {输出目录}/{对话标题}_语音/concat_list.txt \
-c:a libmp3lame -b:a 192k \
{输出目录}/{对话标题}_完整版.mp3
-y:自动覆盖已存在文件-c:a libmp3lame:转码为真 MP3-b:a 192k:192kbps 音质
第五步:清理与报告
- 删除临时
concat_list.txt - 向用户报告:
- 完整音频路径和时长
- 分句音频目录位置
- 使用的音色方案
输出示例
✅ 播客制作完成!
完整音频:输出/T型人才对话_完整版.mp3
- 时长:68秒
- 格式:MP3, 192kbps, 24kHz
- 大小:1.3MB
音色方案:
阿琳 → longanhuan(欢脱元气女)
老陈 → longtian_v3(磁性理智男)
分句音频:输出/T型人才对话_语音/(13个文件)
进阶:添加片头/片尾音效
如果需要添加背景音乐或音效:
# 片头音频 + 完整对话拼接
ffmpeg -y -f concat -safe 0 \
-i <(printf "file 'intro.mp3'\nfile '完整版.mp3'\nfile 'outro.mp3'\n") \
-c:a libmp3lame -b:a 192k \
{输出目录}/{对话标题}_带片头.mp3
注意事项
- Bailian TTS 不支持在同一条命令中切换音色,必须逐句生成
- 如果对话很长(>20句),可并行生成以提高效率
- 使用
cosyvoice-v3.5-flash模型时(克隆音色),命令中的--model参数必须显式指定
What ships with it
1 file 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.
- 12d ago First seen · 134 lines · 39 tokens per session scan A 668e7cfdb641
aliang-podcast-maker is a skill published in the GitHub repository aliang2052/aliang-skills (26 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 1,225 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.
Other skills, from other repositories
dramaclaw
A skill for answering identity and self-introduction questions, and for working with the DramaClaw/NovelVideo pipeline. The description also covers turning novels or stories into short vertical videos.
ai-comic-script
A Chinese-language guide for creating complete scripts for AI-generated animated short dramas, from the initial idea through episode planning and finished scenes.
ai-comic-visual-assets
A skill that turns a script into reusable AI image prompts for its main characters, settings, and props. It also defines file names, folders, and reference-image steps for visual consistency.
ai-comic-storyboard
A storyboard tool for turning an existing AI-comic script into a shot-by-shot production table. A storyboard lists what appears in each shot, how the camera moves, what characters do, the dialogue or sound, the timing, and the assets used.
ai-comic-video-prompts
A skill that converts an existing shot list—a plan describing each video shot—into one complete prompt per shot for AI video tools such as Vidu. It includes the shot framing, camera movement, actions, dialogue, sound effects, and referenced assets.
comic-mv-director
A production planner for animated stories, short dramas, music videos, and other AI video projects. It first decides whether the project is music-led or story-led, then plans storyboards, images, video, music, and editing.