What is linkfox-aigc-image-to-video?

An image-to-video generation skill that turns one or more images into a video, with optional reference videos, product templates, ending frames, and sound-related model options.

Use it to make product showcase videos, animated image presentations, and other videos based on still images.

It handles the task creation and status-checking process for asynchronous video generation, so a request can be submitted and then tracked until the result is ready.

linkfox-aigc-image-to-video — Skill by linkfox-ai/linkfox-skills

Install

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.

Any agent

npx skills add linkfox-ai/linkfox-skills --skill linkfox-aigc-image-to-video

Clone the repo

git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-aigc-image-to-video/github.svg)](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-aigc-image-to-video)

Your own site

<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-aigc-image-to-video"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-aigc-image-to-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-aigc-image-to-video"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-aigc-image-to-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,927 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 91% copy Near-identical to another mod in the catalogue.

Token cost

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	$0.00047	$0.01927
Opus 5.5	$0.00019	$0.00771
Sonnet 5.5	$0.00009	$0.00385
Haiku 4.5	$0.00005	$0.00193

Measured yesterday against content hash 83ba61f6a9da, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkfox-aigc-image-to-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 yesterday.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/download_results.py, scripts/image_to_video_async.py, scripts/material_runtime.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

91% identical to linkfox-aigc-clothing-suite — 31 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.

skills/linkfox-aigc-image-to-video/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Image to Video

Generate video from one image or multiple images with optional reference videos and templates.

Core Concepts

This endpoint creates one asynchronous task. A returned taskId is acceptance, not a finished asset.
Supply a new unique requestId for each newly requested task. Preserve it when checking or retrying the same operation; do not automatically resubmit after a timeout.
All source images/videos, including external HTTP(S) URLs, must use the bundled Base64 upload workflow in references/file-upload.md: run this skill's bundled scripts/upload_file.py, obtain viewUrl, then populate the generation media fields. Upload must finish before creating a task; do not use STS/OSS upload or upload again while polling.
Put all business fields inside the required params object. Keep requestId/chatId/messageId/title at the top level; do not send a top-level memberId. Read references/api.md and do not substitute legacy model aliases.
Poll /aigc/taskQuery, which serves both these new tasks and existing image/video tasks. There is no separate makeTaskQuery endpoint in this backend branch.

Parameter Guide

Required business fields inside params: videoType, videoTime

Read references/api.md for the complete request schema, conditional requirements and model-specific rules before constructing parameters.

调用方式

API 端点：POST /aigc/imageToVideo（完整参数/响应/错误码见 references/api.md）
Python 脚本：python scripts/image_to_video_async.py '<JSON 参数>' [--inline]
成本约束：本工具会消耗积分；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。生成失败或超时不得自动更换模型、重建任务或扩大生成数量；下载失败只重试下载，继续生成前说明额外消耗。

以下固定输出策略适用于官方 API 入口。完整生成流程使用 run_task.py，其媒体输出见 Execution Workflow。

输出策略（脚本默认行为）：

始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-aigc-image-to-video-<timestamp>.json（<cwd> 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session> 取自环境变量 SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错）
响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本）
加 --inline 强制全量打印到 stdout（同样落盘）

Read the full file on GitHub · 101 lines

Files

What ships with it

11 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.

Changes

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.

yesterday First seen · 101 lines · 47 tokens per session scan A 83ba61f6a9da

Subscribe to this mod's changes

linkfox-aigc-image-to-video is a skill published in the GitHub repository linkfox-ai/linkfox-skills (109 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 1,927 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to linkfox-aigc-clothing-suite, differing in 31 lines, and is treated as a copy.

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