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 wangyendt/wayne-skills --skill technical-explainer-videogit clone --depth 1 https://github.com/wangyendt/wayne-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/wangyendt/wayne-skills/technical-explainer-video)<a href="https://agentmods.dev/skills/wangyendt/wayne-skills/technical-explainer-video"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/technical-explainer-video/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/wangyendt/wayne-skills/technical-explainer-video"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/technical-explainer-video.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 | $0.00071 | $0.01421 |
| Opus 5.5 | $0.00028 | $0.00568 |
| Sonnet 5.5 | $0.00014 | $0.00284 |
| Haiku 4.5 | $0.00007 | $0.00142 |
Grade A, and why
technical-explainer-video 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 1mo 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
知识演示 / 教学视频
交付观众能跟着推导和操作的实际视频。延续用户已确认的风格、语言和参数；知识主题、章节数、坐标约定、阈值和数据均来自本次任务，不沿用旧视频的业务设置。
独立使用与可选增强
本技能独立完成视频制作，不依赖其它 skill。当前环境提供的技能列表中若有 awesome-docs，复杂内容组织可按需参考；若有 shuorenhua，口播文案可按需润色。通过列表提供的实际路径读取，不假定相邻目录或固定安装位置。缺失或所需参考文件不存在时，跳过增强，按本技能继续；不扫描其它 agent 的安装目录，不触发安装、更新或安装提示。用户明确点名的技能未能加载时，简短说明，不声称执行过它。
视频讲解与画面规则
- 按观众理解顺序分镜：先交代问题、输入和必要概念，再演示变化、计算和结果。每幕聚焦一个问题，保留中间推导，不把文档段落逐页搬进视频。
- 画面与旁白分工：旁白解释当前对象发生什么、为什么；画面展示关键点、线、面和数值变化。避免旁白已经进入下一步，画面还停在上一步。画面保留短标题、必要标注、公式和字幕，删去重复说明。
- 公式用 LaTeX：图内外的公式、分式、向量、矩阵和上下标通过数学渲染器排版；动态替换和最终导出后仍要检查。中文解释单独排版，变量、单位、符号和几何计算保持一致。
- 字幕数值用阿拉伯数字：数量、测量值、版本、范围和百分数采用阿拉伯数字；自然词语和逐字引用保留。显示 text 与朗读 speech 分开保存，不做无上下文的中文数字替换。字幕放独立安全区，默认烧录进视频，避免与外挂字幕重复显示。
- 图示服务于解释：空间关系用 3D，投影、曲线和流程按需用 2D。先说明原点、参考系和对象，再随讲解高亮关键几何；其它必要对象淡化保留。放大或转动视角不改变测量值；相机视角与场景内的物理相机分开标识。
- 口播直接、准确：讲清对象、动作、条件和结果，删去空泛预告及重复总结；保留事实、术语、数字和不确定性，不按禁词表机械改句。通读时检查前提是否先于结论，观众能否跟着当前画面理解旁白。
工作流程
1. 定内容与证据
先找现有工程。修改成片保留旧版；只改字幕时不顺带改算法或数值。区分用户指定值、来源值、推导值和教学构造值；未知参数明确标注。材料制作不修改生产代码、配置或设备状态。
每幕记录：观众要弄懂的问题、前置概念、输入/输出、选用数据、图形动作、公式、显示字幕和口播。先检查整条推导与因果，再写动画。涉及补偿或控制时，区分预测、实际执行、重新测量和判据；其他知识按自身逻辑组织。
几何或计算密集任务按需读 references/geometry-and-reasoning.md。
2. 文案、配音和时间线
先通读并润色整份文案，再生成语音。每段显式保存显示文字 text 与朗读文字 speech；数字展开只改变读法，不改变数值、单位、正负或版本含义。
采用真实词边界或有记录的强制/人工对齐，生成字幕时间。字幕和关键动画共用时间线；改旁白后重新生成失效音频和边界，更新事件锚点。仅改等义显示格式时可复用未变的口播缓存，仍须重建字幕。
新工程、字幕数据结构、语音服务、导出和验证按需读 references/production.md。
3. 实现并交付
优先复用已有工程，不强制换框架。无工程时可用随附 Motion Canvas / Three.js 起点：
python3 SKILL_DIR/scripts/scaffold.py /absolute/path/to/video-project
该脚手架只复制文件并生成静音排版样本；正式配音、依赖安装和渲染另行执行。默认 1080p / 30 fps，可随任务调整。
交付前检查计算不变量、渲染日志、最终 MP4 音视频和字幕；抽查最终解码帧中的关键动作及公式，不只检查网页或静态分镜。人工视听抽查与自动像素/音频检查分开记录，不夸大覆盖范围。
返回实际 MP4，按需附章节播放器、字幕与可编辑源工程。Codex 中用绝对路径媒体嵌入展示。打包排除运行时、临时大文件和敏感配置；不默认发布、提交、推送或全局安装。
附件的用途
SKILL.md 是唯一必需文件。此技能额外保留 2 份按需参考文档、1 个复制脚本、1 份界面元数据和 19 个可运行模板文件。模板中的依赖锁、渲染入口、音频对齐和验证代码用于复现，使用现有工程时无需读取或复制它们。具体业务视频、测量数据、成片、缓存和制作日志留在项目里，不放进通用 skill。
What ships with it
23 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.
- agents/openai.yaml 334 B
- assets/starter/.gitignore 71 B
- assets/starter/package-lock.json 68 KB
- assets/starter/package.json 713 B
- assets/starter/render.html 1.3 KB
- assets/starter/requirements-video.txt 16 B
- assets/starter/scenes.json 359 B
- assets/starter/scripts/prepare_audio.py 8.6 KB runs code
- assets/starter/scripts/render.mjs 2.9 KB runs code
- assets/starter/scripts/runtime.mjs 837 B runs code
- assets/starter/scripts/verify.mjs 3.8 KB runs code
- assets/starter/src/project.ts 184 B runs code
- assets/starter/src/scenes/film.tsx 2.5 KB
- assets/starter/src/space3d.ts 2.2 KB runs code
- assets/starter/src/subtitles.json 256 B
- assets/starter/src/timing.json 146 B
- assets/starter/src/vite-env.d.ts 92 B runs code
- assets/starter/tsconfig.json 112 B
- assets/starter/video.config.json 198 B
- assets/starter/vite.config.ts 338 B runs code
- references/geometry-and-reasoning.md 6.2 KB
- references/production.md 4.5 KB
- scripts/scaffold.py 1.8 KB runs code
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.
- 1mo ago Changed · +3 lines 58f127048b4f
- 1mo ago First seen · 55 lines · 71 tokens per session scan A 200dd70bac0c
technical-explainer-video is a skill published in the GitHub repository wangyendt/wayne-skills (9 stars, last pushed 7d ago), licensed MIT. It adds 71 tokens to every session and 1,421 once invoked, about $0.0003 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 2026-09-22.
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