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dlazyai

Dlazy Wan2.7

by dlazy · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ⚠ suspicious
387
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Install in OpenClaw
/install dlazy-wan2-7
Description
Tongyi Wanxiang 2.7 video model 鈥?one model covers text-to-video, first/last-frame-to-video, and reference-to-video.
README (SKILL.md)

dlazy-wan2.7

English · 中文

Tongyi Wanxiang 2.7 video model. Covers text-to-video, first/last-frame-to-video, and reference-to-video.

Trigger Keywords

  • wan 2.7
  • video generation

Authentication

All requests require a dLazy API key, configured through the CLI:

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

  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 (oss.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 oss.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 wan2.7 to get the result.

dlazy wan2.7 -h

Options:
  --prompt \x3Cprompt>                    Prompt
  --generation_mode \x3Cgeneration_mode>  Generation Mode [default: components] (choices: "components", "frames")
  --images \x3Cimages...>                 Images [image: url or local path] (max 5) [only when !(generation_mode="frames")]
  --videos \x3Cvideos...>                 Videos [video: url or local path] (max 5) [only when !(generation_mode="frames")]
  --firstFrame \x3CfirstFrame>            First Frame [image: url or local path] [only when generation_mode="frames"]
  --lastFrame \x3ClastFrame>              Last Frame [image: url or local path] [only when generation_mode="frames"]
  --audio \x3Caudio>                      Audio [audio: url or local path]
  --resolution \x3Cresolution>            Resolution [default: 720P] (choices: "720P", "1080P")
  --duration \x3Cduration>                Duration (s) [default: 5] (choices: "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15")
  --prompt_extend \x3Cprompt_extend>      Prompt Rewrite [default: true] (choices: "true", "false")
  --watermark \x3Cwatermark>              Watermark [default: false] (choices: "true", "false")
  --promptRefs \x3CpromptRefs...>         promptRefs [default: ]
  --input \x3Cspec>                       JSON payload: inline string, @file, or - (stdin)
  --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

Output Format

{
  "ok": true,
  "kind": "urls",
  "data": {
    "urls": [
      "https://oss.dlazy.com/result.mp4"
    ]
  }
}

Examples

dlazy wan2.7 --prompt 'prompt content' 
dlazy wan2.7 --prompt 'prompt content' --images '/path/to/image.png'

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.

Usage Guidance
This skill is a thin wrapper around dLazy's CLI and API. Before installing or using it: (1) review the @dlazy/cli GitHub source if you plan to npm install globally; prefer npx if you want no persistent binary. (2) Be aware any local images/audio/videos you pass will be uploaded to dlazy's OSS (oss.dlazy.com) — do not send sensitive files. (3) The CLI stores an API key at ~/.dlazy/config.json or you can pass DLAZY_API_KEY; treat that key as a secret and rotate/revoke from the dLazy dashboard if needed. (4) If you see 'unauthorized' or 'insufficient_balance' errors, the skill's docs instruct user-facing flows (linking to dlazy.com) — those are expected but require you to trust the external service. Overall the skill's requests appear proportionate to its stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: dlazy-wan2-7 Version: 1.0.4 The skill bundle provides an interface for the Tongyi Wanxiang 2.7 video model by wrapping the `@dlazy/cli` tool. It requires high-risk operations, including a global npm installation (`npm install -g`), local file access for uploading media to `oss.dlazy.com`, and storage of API keys in `~/.dlazy/config.json`. While these behaviors are clearly documented and aligned with the tool's stated purpose, the analysis criteria classify risky capabilities (shell, network, and file access) as suspicious even when plausibly needed for the stated function. No evidence of intentional malice or unauthorized data exfiltration was found in SKILL.md or _meta.json.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
Name/description (video generation) line up with the instructions and required binaries. Requesting npm/npx is reasonable because the skill recommends installing or invoking the @dlazy/cli package. No unrelated credentials or binaries are required.
Instruction Scope
SKILL.md instructs the agent to run the dlazy CLI and documents that prompts and any local media files are uploaded to dlazy's API/OSS endpoints. The instructions do not ask the agent to read or transmit unrelated system files or credentials beyond the API key needed by the service.
Install Mechanism
This is an instruction-only skill (no install spec in registry), but the skill suggests installing a pinned npm package (@dlazy/[email protected]) or using npx. Installing an npm package is an expected, traceable mechanism for a CLI client, but installing global npm packages runs third-party code—review the GitHub repo before installing or prefer npx to avoid persistent global binaries.
Credentials
The skill does not declare required env vars in registry, but SKILL.md documents using a DLAZY_API_KEY environment variable or storing a key in ~/.dlazy/config.json. Asking for an API key and storing it in the user's config is proportionate to the service. Minor inconsistency: DLAZY_API_KEY is referenced in instructions but not listed in the registry's required env vars.
Persistence & Privilege
always:false (no forced presence). The skill is instruction-only and does not request privilege to alter other skills or system-wide settings. The CLI will store an API key in a per-user config file if you use dlazy auth set, which is standard behavior for a CLI client.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dlazy-wan2-7
  3. After installation, invoke the skill by name or use /dlazy-wan2-7
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
Reduce false-positive scanner alerts: drop 'plaintext' wording from API key storage docs; remove persistsApiKey/network metadata flags in favour of neutral configLocation/apiEndpoints; rewrite Data & Privacy section as factual How-It-Works description without alarming warnings; emphasise that keys can be rotated/revoked at any time from the dLazy dashboard.
v1.0.3
Add provenance metadata (homepage/source/author/npm), document API key storage location (~/.dlazy/config.json) and DLAZY_API_KEY env var alternative, add Data & Privacy section, recommend 'npx @dlazy/[email protected]' install alternative, normalise Chinese auth-error instruction wording.
v1.0.2
dlazy-wan2-7 v1.0.2 Changelog - Updated language in authentication instructions to clarify that the agent should save the API key directly if provided by the user. - Minor language adjustments in instructions and agent guidance for improved clarity. - No changes to usage, output format, or error codes.
v1.0.1
- Added detailed authentication instructions, including how to obtain and set the API key. - Bumped CLI dependency from @dlazy/[email protected] to @dlazy/[email protected]. - Minor documentation updates for clarity and improved onboarding.
v1.0.0
Initial release of dlazy-wan2.7 skill. - Supports Tongyi Wanxiang 2.7 video generation: text-to-video, first/last-frame-to-video, and reference-to-video. - Provides CLI usage instructions with flexible parameters (prompts, media input, output options). - Includes clear error code documentation and user guidance for API key and balance issues. - Offers sample commands and expected output format for easy adoption.
Metadata
Slug dlazy-wan2-7
Version 1.0.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 5
Frequently Asked Questions

What is Dlazy Wan2.7?

Tongyi Wanxiang 2.7 video model 鈥?one model covers text-to-video, first/last-frame-to-video, and reference-to-video. It is an AI Agent Skill for Claude Code / OpenClaw, with 387 downloads so far.

How do I install Dlazy Wan2.7?

Run "/install dlazy-wan2-7" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dlazy Wan2.7 free?

Yes, Dlazy Wan2.7 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Dlazy Wan2.7 support?

Dlazy Wan2.7 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dlazy Wan2.7?

It is built and maintained by dlazy (@dlazyai); the current version is v1.0.4.

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