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dlazyai

Dlazy Videoseg

作者 dlazy · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ 安全检测通过
33
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install dlazy-videoseg
功能描述
Segments humans in videos using Aliyun's async service and returns a black/white mask video of the same length for compositing or matting.
使用说明 (SKILL.md)

dlazy-videoseg

English · 中文

Video human segmentation tool: invokes Aliyun's async SegmentVideoBody and returns a same-length black/white mask video, suitable for downstream compositing or matting.

Trigger Keywords

  • videoseg

Authentication

All requests require a dLazy API key. The recommended way to authenticate is:

dlazy login

This runs a device-code flow (also works in remote shells) and automatically saves your API key to the local CLI config — no manual copy/paste required.

Alternative: Set the Key Manually

If you already have an API key, you can save it directly:

dlazy auth set YOUR_API_KEY

The CLI saves the key in your user config directory (~/.dlazy/config.json on macOS/Linux, %USERPROFILE%\.dlazy\config.json on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the DLAZY_API_KEY environment variable.

Getting Your API Key Manually

  1. Sign in or create an account at dlazy.com
  2. Go to dlazy.com/dashboard/organization/api-key
  3. Copy the key shown in the API Key section

Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.

About & Provenance

You can install on demand without persisting a global binary by running:

npx @dlazy/[email protected] \x3Ccommand>

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/[email protected]). Review the GitHub source before installing.

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

  • Prompts and parameters you provide are sent to the dLazy API endpoint (api.dlazy.com) for inference.
  • Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (files.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.
  • Generated output URLs returned by the API are hosted on files.dlazy.com.

This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See dlazy.com for the full service terms.

Usage

CRITICAL INSTRUCTION FOR AGENT: Execute dlazy videoseg to get the result.

dlazy videoseg -h

Options:
  --video [video]                      Video (URL) [video: url or local path]
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout \x3Cseconds>                  Max seconds to wait for async completion (default: "1800")
  -h, --help                           display help for command

Any flag also accepts pipe references — - (auto-pick from upstream stdin), @N (n-th output), @N.path (jsonpath into output), @* (all primary values), @stdin / @stdin:path (whole envelope). See dlazy --help for details.

Output Format

{
  "ok": true,
  "result": {
    "tool": "videoseg",
    "modelId": "videoseg",
    "outputs": [
      {
        "type": "image",
        "id": "o_xxxxxxxx",
        "url": "https://files.dlazy.com/result.png",
        "mimeType": "image/png"
      }
    ]
  }
}

Async tasks (when --no-wait is passed) return outputs: [] and a task: { generateId, status } field instead. Use dlazy status \x3CgenerateId> --wait to poll.

Examples

dlazy videoseg --prompt 'prompt content'

Error Handling

Code Error Type Example Message
401 Unauthorized (No API Key) ok: false, code: "unauthorized", message: "API key is missing or invalid"
501 Missing required parameter error: required option '--prompt \x3Cprompt>' not specified
502 Local file read error Error: Image file/Video file not found: C:\path o\your\file
503 API request failed (no balance) ok: false, code: "insufficient_balance"
503 API request failed (server error) HTTP status code error (500 server crash)
504 Asynchronous task execution failed === Generation Failed === / {Specific error reason returned by backend, for example "Prompt violates safety policy"}

AGENT CRITICAL INSTRUCTION:

  1. If the execution result returns code: "insufficient_balance", you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: https://dlazy.com/dashboard/organization/settings?tab=credits
  2. If the execution result returns code: "unauthorized" or indicates missing API key, you MUST inform the user to get their API key from https://dlazy.com/dashboard/organization/api-key and save it using dlazy auth set \x3Ckey> and resume the task.

Tips

Visit https://dlazy.com for more information.

安全使用建议
This review found no evidence requiring a Review or Malicious label. Because the target skill contents were not present in the accessible workspace, review the skill's own instructions and any installer or credential requirements before installing, especially if it asks for sensitive credentials or broad local access.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The supplied VirusTotal and SkillSpector results are clean, and no artifact-backed evidence showed purpose-mismatched or hidden capabilities; however, the accessible workspace did not include the target skill body or metadata needed to confirm purpose coherence directly.
Instruction Scope
No prompt-injection indicators or SkillSpector issues were supplied, and no target runtime instructions were available to review for overbroad scope.
Install Mechanism
No target install manifest, installer script, package hooks, or declared install path were found in the accessible scan workspace, so no risky installation behavior was evidenced.
Credentials
No target-specific environment, credential, network, or local-data access requirements were available in artifact text; the clean scanner telemetry provides no evidence of disproportionate access.
Persistence & Privilege
No target artifact evidence showed persistence, background execution, privilege escalation, or automatic long-running behavior.
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 dlazy-videoseg
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dlazy-videoseg 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
v1.2.0
- Improved documentation for authentication, API usage, and error handling. - Clarified CLI installation and usage instructions, including new `npx` support for version 1.2.0. - Provided detailed output, error codes, and explicit agent instructions for insufficient balance or missing API key. - Updated example commands and option flags for clarity and easier onboarding. - Enhanced metadata for better integration and discoverability.
元数据
Slug dlazy-videoseg
版本 1.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Dlazy Videoseg 是什么?

Segments humans in videos using Aliyun's async service and returns a black/white mask video of the same length for compositing or matting. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 33 次。

如何安装 Dlazy Videoseg?

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

Dlazy Videoseg 是免费的吗?

是的,Dlazy Videoseg 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Dlazy Videoseg 支持哪些平台?

Dlazy Videoseg 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 Dlazy Videoseg?

由 dlazy(@dlazyai)开发并维护,当前版本 v1.2.0。

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