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-videogengit 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)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-aigc-videogen"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-aigc-videogen/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"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-aigc-videogen.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 | $0.00120 | $0.01431 |
| Opus 5 | $0.00060 | $0.00715 |
| Sonnet 5 | $0.00024 | $0.00286 |
| Haiku 4.5 | $0.00012 | $0.00143 |
Grade A, and why
linkfox-aigc-videogen 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI 生视频（首尾帧/单图模式）
根据原图（首帧）和可选尾帧图生成视频，支持多种 AI 视频模型，异步创建任务后轮询获取结果。
核心特点
- 5 种模型选择：覆盖不同风格和时长需求。
- 首尾帧控制：可选尾帧图控制视频结束画面。
- 丰富参数：支持 Pro 模式、声音生成、运镜控制、宽高比等。
- 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 |
|---|---|---|
| KLING | 可灵 | 5秒/10秒 |
| WAN | 万相 | 5秒/10秒/15秒 |
| SEED | Seedance/豆包 | 5秒/10秒/15秒 |
| SEED_FAST | Seedance 2.0 Fast | 5秒/10秒/15秒 |
| HAILUO | 海螺 | 6秒/10秒 |
参数概览
- 必填字段：
imageUrl、videoType、videoTime - 可选核心：
lastFrameImageUrl（尾帧图）、prompt（2000字以内）
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/videoGenAsync→ 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.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/videoGenAsync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：一般商品视频用
KLING；长时长用WAN/SEED。 - 首尾帧：传
imageUrl（首帧，必传）+ 可选lastFrameImageUrl（尾帧），支持模型：KLING仅Pro / WAN / SEED。 - 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 — 商品展示
{"imageUrl": "https://example.com/product.jpg", "videoType": "KLING", "videoTime": 10, "prompt": "商品展示视频"}
3. WAN 万相 — 带声音和运镜
{"imageUrl": "https://example.com/scene.jpg", "videoType": "WAN", "videoTime": 15, "voice": true, "camera": "single"}
4. SEED — 高分辨率
{"imageUrl": "https://example.com/scene.jpg", "videoType": "SEED", "videoTime": 10, "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 · 107 lines · 120 tokens per session scan A 16d417c9f306
linkfox-aigc-videogen is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 21d ago), licensed MIT. It adds 120 tokens to every session and 1,431 once invoked, about $0.0006 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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