What is linkfox-aigc-video-reclone?

A video-generation tool that recreates a product video from a reference video and product images, with a chosen sales country, language, and instructions.

Use it to create market- or language-specific versions of product videos from existing video and image assets.

It provides a way to adapt an existing product video for a different market without starting the video concept from scratch. The recreation runs as a background task that you check for completion.

linkfox-aigc-video-reclone — 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-video-reclone

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-video-reclone/github.svg)](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-aigc-video-reclone)

Your own site

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

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,936 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 89% 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	$0.00044	$0.01936
Opus 5.5	$0.00018	$0.00774
Sonnet 5.5	$0.00009	$0.00387
Haiku 4.5	$0.00004	$0.00194

Measured yesterday against content hash 29e576742636, 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-video-reclone 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/material_runtime.py, scripts/onboarding.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

89% identical to linkfox-aigc-clothing-suite — 32 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-video-reclone/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Video Recreation

Recreate a reference video using product images, target market and language.

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, refVideoUrl, refImageList, resolution, saleCountry, targetLanguage

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/videoReclone（完整参数/响应/错误码见 references/api.md）
Python 脚本：python scripts/video_reclone_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-video-reclone-<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 · 100 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 · 100 lines · 44 tokens per session scan A 29e576742636

Subscribe to this mod's changes

linkfox-aigc-video-reclone is a skill published in the GitHub repository linkfox-ai/linkfox-skills (109 stars, last pushed 2d ago), licensed MIT. It adds 44 tokens to every session and 1,936 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to linkfox-aigc-clothing-suite, differing in 32 lines, and is treated as a copy.

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