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 guanyang/super-publisher --skill video-tutorial-makergit clone --depth 1 https://github.com/guanyang/super-publisherWrote 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/guanyang/super-publisher/video-tutorial-maker)<a href="https://agentmods.dev/skills/guanyang/super-publisher/video-tutorial-maker"><img src="https://agentmods.dev/badge/skills/guanyang/super-publisher/video-tutorial-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/guanyang/super-publisher/video-tutorial-maker"><img src="https://agentmods.dev/badge/skills/guanyang/super-publisher/video-tutorial-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 | $0.00081 | $0.01329 |
| Opus 5.5 | $0.00032 | $0.00532 |
| Sonnet 5.5 | $0.00016 | $0.00266 |
| Haiku 4.5 | $0.00008 | $0.00133 |
Grade A, and why
video-tutorial-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 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Tutorial Maker
Use this skill to turn a topic, outline, script, or existing video into a finished tutorial video package.
Default assumption: produce a 16:9 landscape MP4 first. Create 9:16 or other platform variants only when requested or clearly useful.
Workflow
-
Define the deliverable.
- Confirm the topic, target audience, tone, duration, language, and required output path when they are unclear.
- If the user does not specify aspect ratio, use
1920x1080landscape video. - For coding or software tutorials, prefer a clear slide/screen sequence over dense narration.
-
Write the video package.
- Create a concise script with one narration block per scene or slide.
- For each scene, define title, subtitle, bullets or screen action, visual style, and narration.
- Keep on-screen text shorter than narration. Do not force full captions into the visual design.
-
Generate speech.
- Prefer
edge-ttswhen available because it is free and more natural than basic system voices. - For Chinese, start with
zh-CN-XiaoxiaoNeural; adjust voice or rate only if the user asks or the result is clearly poor. - Generate audio per scene, not one large narration file. Per-scene audio makes transition sync and subtitle offsetting deterministic.
- Prefer
-
Build subtitles from the same timeline as audio.
- Use the subtitle output from TTS when available.
- Parse both
00:00:01.234and00:00:01,234timestamp formats. - Offset each scene subtitle by the cumulative scene duration.
- Verify the final subtitle file contains real timestamps and no
NaN.
-
Render video.
- Render each scene to a fixed duration equal to its audio duration plus any intended pause.
- If a scene has a trailing pause, pad that scene's audio with silence to the exact scene video duration before concatenating.
- Concatenate padded scene audio, not raw scene audio. Otherwise voice will drift earlier after each transition.
- Mux video, audio, and soft subtitles into MP4 when supported; otherwise output the subtitle file as a sidecar.
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 First seen · 121 lines · 81 tokens per session scan A 199f8182bd15
video-tutorial-maker is a skill published in the GitHub repository guanyang/super-publisher (33 stars, last pushed 10d ago), licensed MIT. It adds 81 tokens to every session and 1,329 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 2026-08-30.
Other skills, from other repositories
guidance
A guide for answering questions about installing and configuring QwenPaw, a software tool with local documentation. It says to check those documents first and use official website information only when needed.
edu-math-tutorial
A Chinese-language guide for turning a maths problem into a step-by-step teaching video. It explains how to break down the solution, write narration, format equations, and structure scenes.
output-format
A format checker for structured medical learning outputs, such as guideline lessons, diagnosis learning, insurance summaries, and update reminders.
clinical-q-and-a
A fast path for answering general educational medical questions and correcting common misconceptions, with a light check against one current authoritative guideline or consensus.
guideline-section-expansion
A learning aid for expanding sections of medical guidelines or turning them into a study path. The source text is in Chinese, but the skill requires verified official documents before producing learning content.
guideline-learning-diagnosis
A study aid for learning a medical guideline or its diagnostic criteria. It helps assess what someone knows, find weak sections, and plan further study without diagnosing a real patient.