Borrowing it
Nothing to install: this file belongs to Cuongyd196/auto-video-gen. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Cuongyd196/auto-video-gen/main/.agents/skills/create-news-video/SKILL.mdgit clone --depth 1 https://github.com/Cuongyd196/auto-video-genWrote 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/cuongyd196/auto-video-gen/create-news-video)<a href="https://agentmods.dev/skills/cuongyd196/auto-video-gen/create-news-video"><img src="https://agentmods.dev/badge/skills/cuongyd196/auto-video-gen/create-news-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/cuongyd196/auto-video-gen/create-news-video"><img src="https://agentmods.dev/badge/skills/cuongyd196/auto-video-gen/create-news-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 | $0.00000 | $0.03340 |
| Opus 5 | $0.00000 | $0.01670 |
| Sonnet 5 | $0.00000 | $0.00668 |
| Haiku 4.5 | $0.00000 | $0.00334 |
Grade A, and why
create-news-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 7d 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.
This is a copy
88% identical to create-news-video — 212 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create News Video Skill
Generate a Vietnamese 9:16 motion-graphic news video from a URL or .txt file.
Input
Single argument: a news article URL (starts with http:// or https://) OR a path to a .txt file.
Workflow (MUST follow these steps in order)
Step 1: Detect input type
- Starts with
http://orhttps://→ URL mode - Otherwise → file mode
Step 2: Fetch content
URL mode:
- Use
read_url_content(orbrowser_subagentif the page is dynamic / JS-rendered). - Extract:
title(string): tiêu đề bài báocontent(string): nội dung chính, ~500-1500 từogImage(string|null): URL ảnh og:image (meta og:image hoặc ảnh đầu bài)domain(string): domain của URL (vd "vnexpress.net")
- If fetching fails (paywall, blocking, 4xx) → tell user to save content to a .txt file and pass that instead. Stop.
File mode:
- Use
view_fileto read the .txt file. - Title = first non-empty line (strip whitespace, max 80 chars)
- Content = remaining lines joined
- ogImage =
null - domain =
"local"
Step 3: Create slug + output directory
- slug = lowercase ASCII (strip Vietnamese diacritics, đ→d), replace non-alphanumeric with
-, trim dashes, max 40 chars - timestamp = current local time as
YYYYMMDD-HHmm - outputDir =
output/<slug>-<timestamp>/
Step 4: Generate script.json
Following the schema in docs/superpowers/specs/2026-04-29-auto-news-video-design.md Section 4. Key rules:
Script content (Vietnamese):
- Total voiceText: ~150–200 words → ~55–65s spoken at speed 1.0
- Number of scenes: 5–8 (1 hook + 3–6 body + 1 outro)
- Each scene voiceText is 1-3 short sentences, văn nói (spoken style, not formal)
- No emoji, no markdown in voiceText
⚠️ CRITICAL: Vietnamese TTS Phonetic Rules
The voiceText field is read aloud by Edge TTS / LucyLab / ElevenLabs / Vbee. Numbers and symbols are read literally — if you write "5.5", TTS may say "năm rưỡi" (five and a half — WRONG for version numbers). Always spell out numbers in Vietnamese phonetic form in voiceText. The templateData fields (visual text on screen) can keep the original "5.5" / "82.7%" formatting.
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.
- 7d ago Changed · -141 lines d22af841049f
- 11d ago First seen · 410 lines · 0 tokens per session scan A a7fb44162dbe
create-news-video is a skill published in the GitHub repository Cuongyd196/auto-video-gen (91 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,340 tokens. A static security scan graded it A with 0 findings. It is 88% identical to create-news-video, differing in 212 lines, and is treated as a copy.
Other skills, from other repositories
muapi-seedance-2
Expert Cinema Director skill for Seedance 2.0 (ByteDance) — high-fidelity video generation across Chinese, Global, and VIP tiers. Supports text-to-video, image-to-video, first-last-frame, omni reference, character training, omni-reference training, video editing, and watermark removal.
muapi-social-media-video
Brand-aware social media video creator. Reads brand-identity.md, ICP.md, and messaging.md to write a post/storyboard, craft an optimized Seedance 2.0 Director prompt, generate reference frames with the best available image model, and produce platform-ready video.
muapi-ai-clipping
Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's /ai-clipping endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe…
muapi-workflow
Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.
muapi-youtube-shorts
Auto-generate viral 9:16 YouTube Shorts (or TikTok / Reels clips) from a long-form video. Thin platform-aware wrapper around the AI Clipping skill — picks sensible defaults for short-form social platforms (9:16, 30–60s sweet spot) and delegates the actual highlight extraction + crop to muapi.ai's /ai-clipping endpoint.
muapi-media-editing
Edit and enhance images and videos with AI via muapi.ai — prompt-based editing, upscaling, background removal, face swap, lipsync, video effects, and more.