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 xyva-yuangui/XyvaClaw --skill auto-video-creatorgit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote 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/xyva-yuangui/xyvaclaw/auto-video-creator)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/auto-video-creator"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/auto-video-creator/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/xyva-yuangui/xyvaclaw/auto-video-creator"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/auto-video-creator.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 | $0.00044 | $0.00297 |
| Opus 5 | $0.00022 | $0.00148 |
| Sonnet 5 | $0.00009 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
auto-video-creator 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 12d 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.
What it actually says
Auto Video Creator
视频生成助手。触发后必须先询问用户确认，再执行生成。
| 触发场景 | 询问确认内容 |
|---|---|
| 图文轮播 | 确认内容源、图片数量、转场效果 |
| 文字动画 | 确认文字内容、动画风格、背景音乐 |
| 卡片视频 | 确认卡片风格、尺寸比例、输出格式 |
| AI 视频生成 | 确认视频描述、时长、风格参考 |
执行流程: 触发 → 询问用户 → 用户确认 → 执行生成 → 返回视频文件
Full docs: read SKILL-REFERENCE.md
What ships with it
8 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.
- 12d ago First seen · 30 lines · 44 tokens per session scan A 0617ff513302
auto-video-creator is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 297 once invoked, about $0.0002 per session on Opus 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.
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