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-shortvideogit 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-shortvideo)<a href="https://agentmods.dev/skills/aliang2052/aliang-skills/aliang-shortvideo"><img src="https://agentmods.dev/badge/skills/aliang2052/aliang-skills/aliang-shortvideo/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-shortvideo"><img src="https://agentmods.dev/badge/skills/aliang2052/aliang-skills/aliang-shortvideo.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 | $0.00242 | $0.02571 |
| Opus 5.5 | $0.00097 | $0.01028 |
| Sonnet 5.5 | $0.00048 | $0.00514 |
| Haiku 4.5 | $0.00024 | $0.00257 |
Grade A, and why
aliang-shortvideo 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 2mo 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
短剧全流程制作流水线
把一句话灵感做成可播短剧，五阶段、每步暂停确认：
① 剧情大纲 → ② 分集剧本(台词) → ③ 分镜表(枢纽) → ④ 批量出图 → ⑤ 图生视频(成片)
⚠️ 视频生成费钱。①~④ 可放心跑；⑤ 图生视频默认不自动实跑——开发/测试/演示时只产出每段的 bl video 命令交给用户，或等用户显式确认要为某段付费，再逐段生成。功能要做全，钱不替用户烧。
前置
bl（百炼 CLI）可用并已登录（bl auth status可查）。出图阶段需要它。- 开工先确认 4 件事，其余用默认：① 一句话灵感（必问）；② 题材（用 AskUserQuestion 给 3-4 个高频项让用户选，见
references/genres.md）；③ 总时长（用 AskUserQuestion 给 15s / 30s / 60s + 自定义；用户已在灵感里说了时长就别再问）；④ 画风（用 AskUserQuestion 从references/styles.md的 22 个预设里让用户挑，分写实/动漫/3D-CG/插画/风格化 5 类；按题材把最搭的放第一标「(推荐)」。问画风时务必明确邀请上传参考图：在选项里加一项「📎 我发一张参考图（照着这张的画风做）」，并提示用户可直接把图片拖/粘贴进对话、或给本地路径/URL。用户发了图就走参考图模式，见下条）。画风是画面质量的头号变量，必须开工就定，别拖到出图。比例默认竖版 9:16、单镜默认 5s，用户没要求就别追问。 - 时长换算：图片张数 ≈ 总时长 ÷ 5（每 5s 一镜一张）。15s≈3 张、30s≈6 张、60s≈12 张。总时长定了，镜数就定了。
- 可选·参考图：用户甩了参考图（海报/截图/角色图）时，别只靠肉眼翻译——① 用
bl vision把它读成一段精准的style串；② 把图路径填进storyboard.json的style_ref，出图脚本会用bl image edit直接迁移这张图的画风，还原度更高。两者可并用。
工作流
阶段 ① 剧情大纲
- 确认题材后，读
references/genres.md取该题材的爽点库 + 结构模板 + 红线。 - 抽爽点：跑
python3 scripts/pick_beats.py --genre <题材>（真随机抽 8-12 个，避免套路雷同）。 - 按该题材结构写约 500 字纯叙事大纲，融入抽到的爽点，遵守反套路 + 内容健康红线。
- 输出大纲 + 列出本次用的爽点 + 逆袭/反转路径标注。
- 暂停：请用户确认大纲走向，改完再进下一阶段。
阶段 ② 分集剧本
把大纲扩成可拍剧本：
- 按节奏切场（每场一个地点+冲突单元），标注 场景 / 人物 / 动作 / 台词。
- 台词口语化、短、有冲突感；旁白克制。
- 黄金 3 秒原则：第一场就抛冲突/悬念。
- 短剧分集可选：若用户要多集，每集结尾留扣。
- 暂停：用户确认剧本，再进分镜。
阶段 ③ 分镜表（枢纽）
读 references/storyboard.md，产出两份同源数据：
- 给人看的分镜表格（镜号/时长/景别/运镜/画面/角色动作/台词/情绪）。
- 给脚本用的
storyboard.json（存到项目目录），含全片统一style、固定characters[].desc、每镜image_prompt。
关键：
- 镜数由总时长定：镜数 ≈ 总时长 ÷ 5（单镜默认 5s）。先按这个铺满镜数，再按剧情节奏微调。
- 单镜时长用户可逐镜调：分镜表每镜都有「时长」列，用户可指定某镜 5s/10s/15s。给某镜 10s/15s 时，按 5s 为单位拆成多个子镜（视频阶段每段 5s），图片阶段每个子镜出 1 张——所以加长某镜会增加该镜的图片数。拆完把总时长/总张数报给用户对一下。
image_prompt只写画面，不写台词/镜号。- 落实画风：把开工选定的画风预设（
references/styles.md里的 style 串）写进storyboard.json的style；有参考图就填style_ref。此处只做应用/微调，不重新问（开工已定）。 - 先定全片
style串和主角desc（一致性命脉，见 storyboard.md 第六节）。 - 暂停：用户确认分镜 + 各镜时长 + 画风，再出图。
What ships with it
6 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.
- 2mo ago First seen · 108 lines · 242 tokens per session scan A f51c63f5b9f5
aliang-shortvideo is a skill published in the GitHub repository aliang2052/aliang-skills (30 stars, last pushed 4mo ago), licensed MIT. It adds 242 tokens to every session and 2,571 once invoked, about $0.0010 per session on Opus 5.5. 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.
aliang-shortvideo compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aliang-shortvideoaliang2052/aliang-skills | Skill | 30 | 4mo ago | MIT | A | 242 | Claude Code, Codex |
| freezonedramaclaw/dramaclaw | Skill | 7.3k | 2d ago | none | A | 49 | Claude Code, Codex |
| sketch-correction-workerdramaclaw/dramaclaw | Skill | 7.3k | 2d ago | none | A | 88 | Claude Code, Codex |
| dramaclaw-workflowsdramaclaw/dramaclaw | Skill | 7.3k | 2d ago | none | A | 60 | Claude Code, Codex |
| workflowsdramaclaw/dramaclaw | Skill | 7.3k | 2d ago | none | A | 56 | Claude Code, Codex |
| dramaclawdramaclaw/dramaclaw | Skill | 7.3k | 2d ago | none | A | 87 | Claude Code, Codex |
| sketch-storyboard-directordramaclaw/dramaclaw | Skill | 7.3k | 2d ago | none | A | 55 | Claude Code, Codex |