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Multishot UGC

作者 Paul de Lavallaz · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
1075
总下载
5
收藏
2
当前安装
2
版本数
在 OpenClaw 中安装
/install multishot-ugc
功能描述
Generate 10 perspective/angle variations from a single image for multi-shot UGC videos. ✅ USE WHEN: - Have a hero image and need camera angle variations - Creating multi-scene UGC videos (need different shots) - Want close-ups, wide shots, side angles from one source - Building a video with scene changes ❌ DON'T USE WHEN: - Don't have a hero image yet → use morpheus-fashion-design first - Need completely different scenes/locations → use Morpheus multiple times - Just need one image → skip this step - Want to edit images manually → use nano-banana-pro INPUT: Single image (person with product) OUTPUT: 10 PNG variations with different perspectives TYPICAL PIPELINE: Morpheus → multishot-ugc → select best 4 → veed-ugc each → Remotion edit
安全使用建议
Before installing or running this skill: - Expect to provide a COMFY_DEPLOY_API_KEY environment variable (the script will fail without it). The registry metadata failing to list this is an inconsistency you should ask the publisher to fix. - Understand that local images will be uploaded to https://api.comfydeploy.com and outputs downloaded back; do not upload sensitive or private images unless you trust ComfyDeploy and have reviewed their terms/privacy. - Verify the deployment_id and the ComfyDeploy domain independently (publisher/source is unknown and no homepage is provided). If you don't recognize the provider, request provenance or use an alternative with known trust. - Limit the API key scope if possible, store it securely, and rotate/revoke it if exposed. - If you need stronger assurance, ask the skill author to (a) declare COMFY_DEPLOY_API_KEY in the registry metadata, (b) provide a homepage or source provenance, and (c) explain data retention/processing on ComfyDeploy for uploaded images.
功能分析
Type: OpenClaw Skill Name: multishot-ugc Version: 1.0.1 The `scripts/generate.py` file contains a critical vulnerability that allows arbitrary local file upload and potential data exfiltration. The `--image` argument, intended for an image path, is read and uploaded to `api.comfydeploy.com` without validation of its content or type. An attacker could specify a path to any sensitive file (e.g., `/etc/passwd`, `~/.ssh/id_rsa`), leading to its exfiltration. Additionally, the `download_images` function is vulnerable to path traversal if the `filename` returned by the external API is malicious (e.g., `../../malicious.sh`), potentially allowing arbitrary file writes. These are significant vulnerabilities, but without clear evidence of intentional malicious design by the skill developer, it is classified as suspicious rather than malicious.
能力评估
Purpose & Capability
The SKILL.md and scripts implement a multishot image-generation flow that queues a ComfyDeploy deployment and downloads outputs — this aligns with the described purpose. However the registry metadata lists no required environment variables or primary credential while the script requires a COMFY_DEPLOY_API_KEY; that metadata omission is a mismatch.
Instruction Scope
Instructions and the included script only perform actions relevant to the task: optionally upload a local image, queue a deployment, poll for completion, and download images. SKILL.md does not disclose that an API key is required (the script does), which is an important omission for runtime behavior.
Install Mechanism
No install spec is provided (instruction-only with small helper script and pyproject). There is a declared Python dependency (requests) in pyproject.toml, but nothing is automatically downloaded or executed by an install step in the registry metadata.
Credentials
The code requires a single environment secret (COMFY_DEPLOY_API_KEY) to call api.comfydeploy.com; that credential is proportionate to the stated purpose. The concern is that the skill metadata did not declare this required env var or a primary credential, which is a visibility/consent issue and may surprise users. No unrelated credentials are requested.
Persistence & Privilege
The skill does not request permanent 'always' presence, does not modify other skills or system-wide settings, and is user-invocable only. It runs network calls to the declared third-party API but does not attempt privilege escalation or persistent system changes.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install multishot-ugc
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /multishot-ugc 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
Improved routing: added negative examples and pipeline info
v1.0.0
Initial release: Generate 10 perspective variations of an image for UGC video production using ComfyDeploy's MULTISHOT-UGC workflow.
元数据
Slug multishot-ugc
版本 1.0.1
许可证
累计安装 2
当前安装数 2
历史版本数 2
常见问题

Multishot UGC 是什么?

Generate 10 perspective/angle variations from a single image for multi-shot UGC videos. ✅ USE WHEN: - Have a hero image and need camera angle variations - Creating multi-scene UGC videos (need different shots) - Want close-ups, wide shots, side angles from one source - Building a video with scene changes ❌ DON'T USE WHEN: - Don't have a hero image yet → use morpheus-fashion-design first - Need completely different scenes/locations → use Morpheus multiple times - Just need one image → skip this step - Want to edit images manually → use nano-banana-pro INPUT: Single image (person with product) OUTPUT: 10 PNG variations with different perspectives TYPICAL PIPELINE: Morpheus → multishot-ugc → select best 4 → veed-ugc each → Remotion edit. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1075 次。

如何安装 Multishot UGC?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install multishot-ugc」即可一键安装,无需额外配置。

Multishot UGC 是免费的吗?

是的,Multishot UGC 完全免费(开源免费),可自由下载、安装和使用。

Multishot UGC 支持哪些平台?

Multishot UGC 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Multishot UGC?

由 Paul de Lavallaz(@pauldelavallaz)开发并维护,当前版本 v1.0.1。

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