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 linkfox-ai/linkfox-skills --skill linkfox-aigc-videogen-multigit clone --depth 1 https://github.com/linkfox-ai/linkfox-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/linkfox-ai/linkfox-skills/linkfox-aigc-videogen-multi)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-aigc-videogen-multi"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-aigc-videogen-multi/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/linkfox-ai/linkfox-skills/linkfox-aigc-videogen-multi"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-aigc-videogen-multi.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 | $0.00105 | $0.01469 |
| Opus 5 | $0.00053 | $0.00734 |
| Sonnet 5 | $0.00021 | $0.00294 |
| Haiku 4.5 | $0.00011 | $0.00147 |
Grade A, and why
linkfox-aigc-videogen-multi 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 11d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
多参考图生视频
根据多张参考图和提示词生成视频，支持 3 种 AI 视频模型，异步创建任务后轮询获取结果。
核心特点
- 4 种模型选择：KLING/SEED/SEED_FAST/HAPPY_HORSE，覆盖不同风格和时长。
- 多图参考：传入多张图片作为参考，AI 综合生成视频。
- 丰富参数：支持 Pro 模式、声音生成、宽高比、分辨率等。
- 异步模式：创建任务立即返回 taskId，脚本自动轮询直到完成（超时 20 分钟）。
模型说明
| 模型（videoType） | 说明 | 支持时长 | 图片上限 |
|---|---|---|---|
| KLING | 可灵 | 5秒/10秒 | ≤7张 |
| SEED | Seedance/豆包 | 5秒/10秒/15秒 | ≤9张 |
| SEED_FAST | Seedance 2.0 Fast | 5秒/10秒/15秒 | ≤9张 |
| HAPPY_HORSE | 百炼HappyHorse | 5秒/10秒/15秒(默认15) | ≤9张 |
参数概览
- 必填字段：
imageList、videoType、videoTime - 可选核心：
prompt（2000字以内）、aspectRatio、resolution
完整参数表、响应字段结构与错误码，见 references/api.md。
调用方式
- 创建任务：
POST /aigc/multiImageVideoGenAsync→ 返回{taskId} - 轮询结果：
POST /aigc/taskQuery→ 传入{taskId}→ 返回状态和结果 - Python 脚本：
python scripts/aigc_videogen_multi.py '<JSON 参数>'（脚本内部自动完成创建+轮询）
异步流程：
- 脚本调用
/aigc/multiImageVideoGenAsync创建任务，获得taskId - 等待 2 分钟后开始轮询
/aigc/taskQuery，每 10 秒一次，最长等待 20 分钟 - 成功后自动下载视频到会话
media/目录
输出策略（脚本默认行为）：
- 脚本会自动把生成的视频下载转存到会话
media/目录，stdout 输出一行Saved full response: <路径数组>。 - 原始 API 响应静默落盘到
data/，仅在无视频产物时才在 stdout 提示其路径。
读数据建议：禁止 Read 转存的视频文件内容。直接把 Saved full response: 后的本地路径提供给用户即可。
解决认证和积分问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示积分或余额不足：消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
使用指引
- 模型选择：一般多图参考用
KLING；高分辨率用SEED；百炼风格用HAPPY_HORSE。 - 图片数量：KLING 最多 7 张，SEED/HAPPY_HORSE 最多 9 张。至少传 1 张。
- 时长匹配：必须传模型支持的时长值，否则报错。
- 提示词：可选，2000 字以内，描述期望的动态效果。
示例
1. KLING 多参考图
{"imageList": ["https://example.com/img1.jpg", "https://example.com/img2.jpg", "https://example.com/img3.jpg"], "videoType": "KLING", "videoTime": 10, "prompt": "商品多角度展示"}
2. SEED 高分辨率多图
{"imageList": ["https://example.com/a.jpg", "https://example.com/b.jpg"], "videoType": "SEED", "videoTime": 15, "resolution": "1080p", "aspectRatio": "16:9"}
What ships with it
4 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.
- 11d ago First seen · 106 lines · 105 tokens per session scan A 7cb306f9fc10
linkfox-aigc-videogen-multi is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 20d ago), licensed MIT. It adds 105 tokens to every session and 1,469 once invoked, about $0.0005 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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