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Viral Video Replicator
by
dingtom336-gif
· GitHub ↗
· v1.1.0
· MIT-0
88
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0
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0
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1
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Install in OpenClaw
/install viral-video-replicator
Description
视频逆向复刻 — 分析参考视频(FFmpeg帧提取+Vision LLM) + 生成复刻Seedance 2.0 Prompt + 4种素材替换模式。支持单个和批量。Use when: '复刻这个视频', '分析爆款视频', 'replicate this video', '视频逆向', '反编译视频', '批量...
Usage Guidance
What to consider before installing/use:
- Metadata mismatch: the registry claims no env vars but the SKILL.md asks for ARK_API_KEY/ARK_VISION_MODEL and (conditionally) ASR and TOS credentials. Ask the publisher/platform to correct the metadata before trusting the skill.
- Sensitive credentials: avoid handing long‑lived TOS Access Key + Secret unless you trust the skill + operator. Prefer alternatives: (a) upload audio yourself and provide a presigned URL, (b) provide short‑lived/limited-scope credentials, or (c) use an account specifically provisioned for this purpose.
- Data privacy: this skill uploads extracted frames and audio to third‑party Vision/ASR services — do not upload videos containing sensitive personal data or copyrighted content you do not control without explicit legal review.
- Prompt injection risk: the skill contains system‑prompt text for remote LLM calls. Verify the platform prevents skill content from modifying the agent's own system prompt or policies.
- Verify storage/retention: ask whether the agent platform or the skill will store any API keys, presigned URLs, or uploaded media and for how long; request deletion after processing.
- If you must proceed: test in a low‑risk way — use non‑sensitive sample videos and ephemeral credentials; prefer providing presigned URLs instead of raw access keys.
If you want, I can draft questions to send to the skill author/platform to clarify the metadata discrepancy, credential storage/retention policy, and whether presigned‑URL flows are supported so you don't need to hand over full TOS secrets.
Capability Analysis
Type: OpenClaw Skill
Name: viral-video-replicator
Version: 1.1.0
The viral-video-replicator skill implements a complex video analysis pipeline that requires the collection of sensitive cloud credentials, including Volcano Engine ARK API keys and TOS Access/Secret keys (SKILL.md). It also relies on local shell execution via FFmpeg for frame and audio extraction (frame-extraction.md). While these high-risk capabilities are plausibly aligned with the stated purpose of video replication and transcription, the handling of raw cloud credentials and the use of subprocesses represent a significant attack surface. No evidence of intentional malice or exfiltration to unauthorized domains was found, with network activity directed at legitimate endpoints like openspeech.bytedance.com and volces.com (asr-pipeline.md).
Capability Assessment
Purpose & Capability
Functionally the required pieces (FFmpeg locally; Vision LLM key; optional ASR token and object storage for audio) are coherent with 'analyze video frames + transcribe audio + call vision/asr APIs' — those services are needed to implement the described pipeline. However the registry metadata lists no required env vars while the SKILL.md explicitly requires ARK_API_KEY/ARK_VISION_MODEL, ASR_ACCESS_TOKEN, and TOS credentials. That metadata mismatch is an incoherence that should be resolved with the author/platform.
Instruction Scope
The SKILL.md instructs the agent to: extract frames and audio locally, encode/send base64 frame grids to a remote Vision API, upload audio to cloud object storage (TOS) and submit to a remote ASR service. It also contains explicit system-prompt text for the Vision LLM. These are expected for the stated task, but they involve sending potentially sensitive or proprietary video frames and audio off‑platform and require collecting service credentials from the user — higher risk than an offline-only tool. The SKILL.md also directs the agent to ask users for long‑lived secrets (access key + secret).
Install Mechanism
Instruction-only skill with no install spec or downloaded code. This is the lower-risk installation model (nothing written to disk by an installer).
Credentials
The skill requires multiple credentials: a Vision API key and model id (expected), plus conditional ASR_ACCESS_TOKEN and full TOS object‑storage credentials (Access Key + Secret + Bucket + Region). Asking for TOS access key/secret grants broad access to the user's object storage and is high privilege; while technically needed to implement the described upload/presigned‑URL flow, it is sensitive and should be minimized (use short‑lived tokens or ask users to upload and provide presigned URLs instead). Also the registry metadata omits these env requirements which is a discrepancy.
Persistence & Privilege
Skill is user-invocable and not always-enabled. No install scripts or persistent modifications are declared. SKILL.md asks for keys during clarification, but it does not state any mechanism to store them; verify how the platform handles any supplied secrets before providing them.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install viral-video-replicator - After installation, invoke the skill by name or use
/viral-video-replicator - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
v1.1.0 — 94分优化版
Metadata
Frequently Asked Questions
What is Viral Video Replicator?
视频逆向复刻 — 分析参考视频(FFmpeg帧提取+Vision LLM) + 生成复刻Seedance 2.0 Prompt + 4种素材替换模式。支持单个和批量。Use when: '复刻这个视频', '分析爆款视频', 'replicate this video', '视频逆向', '反编译视频', '批量... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Viral Video Replicator?
Run "/install viral-video-replicator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Viral Video Replicator free?
Yes, Viral Video Replicator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Viral Video Replicator support?
Viral Video Replicator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Viral Video Replicator?
It is built and maintained by dingtom336-gif (@dingtom336-gif); the current version is v1.1.0.
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