Borrowing it
Nothing to install: this file belongs to huytranvan2010/AI-auto-generate-video. 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/huytranvan2010/AI-auto-generate-video/main/.agents/skills/create-template-video/SKILL.mdgit clone --depth 1 https://github.com/huytranvan2010/AI-auto-generate-videoWrote 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/huytranvan2010/ai-auto-generate-video/create-template-video)<a href="https://agentmods.dev/skills/huytranvan2010/ai-auto-generate-video/create-template-video"><img src="https://agentmods.dev/badge/skills/huytranvan2010/ai-auto-generate-video/create-template-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/huytranvan2010/ai-auto-generate-video/create-template-video"><img src="https://agentmods.dev/badge/skills/huytranvan2010/ai-auto-generate-video/create-template-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.03342 |
| Opus 5.5 | $0.00024 | $0.01337 |
| Sonnet 5.5 | $0.00012 | $0.00668 |
| Haiku 4.5 | $0.00006 | $0.00334 |
Grade A, and why
create-template-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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Template Video Skill
Sinh video tin tức 9:16 dùng các template HyperFrames trong templates/ (đẹp,
chuyên nghiệp hơn 6 scene Remotion cũ). Claude chỉ điền chữ vào slot của
template — toàn bộ thiết kế/animation do template lo.
Input
1 tham số: URL bài báo (http:///https://) HOẶC đường dẫn file .txt.
Workflow (theo đúng thứ tự)
Step 1–3: Lấy nội dung + tạo output dir
Phát hiện input rồi lấy nội dung:
- URL (bắt đầu
http:///https://) →WebFetchvới prompt:
Fail (paywall/JS/4xx) → bảo user lưu nội dung vàoTrích xuất từ trang này: - title (string): tiêu đề bài báo - content (string): nội dung chính, ~500-1500 từ - ogImage (string|null): URL ảnh og:image - domain (string): domain của URL Trả về JSON với 4 field trên..txtrồi gọi lại. Stop. - File
.txt→Read; title = dòng đầu (≤80 ký tự), content = phần còn lại, ogImage =null, domain ="local". - slug = ASCII không dấu (bỏ dấu tiếng Việt, đ→d), ≤40 ký tự; timestamp =
YYYYMMDD-HHmm;outputDir = output/<slug>-<timestamp>/;mkdir -p.
Step 4: Đọc danh mục template
Đọc templates/CATALOG.md để biết template nào có + slot inputs của mỗi cái.
Chỉ dùng templateId có trong CATALOG. Hiện có:
HOOK (chỉ 1):
frame-liquid-bg-hero— hero aurora (blob động + headline + CTA). LUÔN dùng cho scene hook.
BODY (Claude tự chọn theo nội dung — xem Step 5):
frame-vignelli— 1 con số nền tối charcoal + đỏ.frame-pentagram-stat— 1 con số nền tối neon (Swiss grid, số cam phát sáng + accent cyan + biểu đồ cột).frame-bold-poster— tuyên bố mạnh nhiều dòng + figure số lớn.frame-build-minimal— câu chốt mạnh nền tối (1 từ lớn IN ĐẬM, glow cam, reveal từng chữ).frame-creative-voltage— câu sáng tạo/khẩu hiệu, split xanh điện + chữ viết tay.frame-glitch-title— cyberpunk glitch RGB-split (nền nhiễu) — hợp tin sốc/breaking/công nghệ.frame-aicoding-list— DANH SÁCH 2–5 mục (mỗi mục có icon + tag mức độ), nền tối gradient. Dùng khi scene là list/xếp hạng.frame-aicoding-comparison— SO SÁNH 2 thứ (cũ vs mới, A vs B) — 2 card khung gradient + badge WIN + stat. Dùng khi scene đối đầu/đối chiếu.
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 · +60 tokens per session 643afb1cba0a
- 2mo ago First seen · 170 lines · 0 tokens per session scan A cedc0b36d3a2
create-template-video is a skill published in the GitHub repository huytranvan2010/AI-auto-generate-video (467 stars, last pushed 20d ago), licensed MIT. It adds 60 tokens to every session and 3,342 once invoked, about $0.0002 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.
create-template-video compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| create-template-videohuytranvan2010/AI-auto-generate-video | Skill | 467 | 20d ago | MIT | A | 60 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |