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3K downloads. Trust evidence available

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智能体上手手册 Start

Quickstart for AI orchestrators (Claude Code / Cursor / Codex / Copilot) driving @dlazy/cli. Covers install, auth, capability discovery, invoking cloud + local tools, polling async tasks, and recovering from common failures. AI 编排器（Claude Code / Cursor / Codex / Copilot）驱动 @dlazy/cli 的快速上手手册。覆盖安装、鉴权、能力探测、调用云端/本地工具、轮询异步任务,以及常见故障恢复。 Skill: 智能体上手手册 Start Owner: dlazyai Summary: Quickstart for AI orchestrators (Claude Code / Cursor / Codex / Copilot) driving @dlazy/cli. Covers install, auth, capability discovery, invoking cloud + local tools, polling async tasks, and recovering from common failures. AI 编排器（Claude Code / Cursor / Codex / Copilot）驱动 @dlazy/cli 的快速上手手册。覆盖安装、鉴权、能力探测、调用云端/本地工具、轮询异步任务,以及常见故障恢复。 Tags: latest:2.0.27 Version history: v2.0.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

3.0k

Updated

Oct 9, 2026

Version

2.0.27

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 3K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 3K downloadsadoption · observed Oct 9, 2026
Latest release: 2.0.27release · observed Oct 8, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-start

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-start/snapshot"

Documentation

CLAWHUB

146,722 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: dlazy-start
version: 2.0.6
description: "Quickstart for AI orchestrators (Claude Code / Cursor / Codex / Copilot) driving @dlazy/cli. Covers install, auth, capability discovery, invoking cloud + local tools, polling async tasks, and recovering from common failures. AI 编排器（Claude Code / Cursor / Codex / Copilot）驱动 @dlazy/cli 的快速上手手册。覆盖安装、鉴权、能力探测、调用云端/本地工具、轮询异步任务,以及常见故障恢复。"
triggers:
  - dLazy CLI Quickstart for AI Agents
metadata: {"clawdbot":{"emoji":"🎬","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli","installAlternative":"npx @dlazy/cli","homepage":"https://dlazy.com","source":"https://github.com/dlazy-ai/cli","author":"dlazyai","license":"AGPL-3.0-or-later","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"You are operating @dlazy/cli for the user. Discovery first: run `dlazy tools list` to see available tools and `dlazy tools describe <name>` to inspect a tool's input/output schema and cost shape. Invoke with `dlazy <tool-name> --input @file.json` (or `--format json` for machine-readable envelopes). Poll long-running cloud tasks with `dlazy status <generateId>`. Install optional local runtimes with `dlazy doctor remotion --install` or `dlazy doctor yt-dlp --install`. Never claim a tool exists without verifying via `dlazy tools list`."}}
---

# 智能体上手手册 Start

[English](./SKILL.md) · [中文](./SKILL-cn.md)

A minimal contract for AI orchestrators using `@dlazy/cli`. The CLI is a
tool-dispatch surface: every registered cloud + local tool becomes a top-level
subcommand. There is no built-in project workspace or pipeline state machine —
those are agent-side concepts.

License: AGPL-3.0-or-later.

## What this skill teaches

You drive `@dlazy/cli` from auth through tool invocation:

- **Cloud tools** (40+) — image / video / audio / text providers (Seedream,
  Recraft, MJ, Veo, Seedance, Kling, ElevenLabs, …)
- **Local tools** (40+) — `state_lock_profile`, `video_compose`,
  `post_render_gate`, `scene_detect`, `frame_sampler`, `audio_mixer`,
  `audio_probe`, `transcribe`, `subtitle`, `color_grade`, `extract_segment`,
  `ffmpeg_run`, … (full list via `dlazy tools list`)
- **CLI commands**: `auth`, `doctor`, `tools list`, `tools describe`,
  `status`, plus one top-level subcommand per registered tool.

---

## Phase 0 — Install & auth

```bash
# Install once
npm install -g @dlazy/cli

# Authenticate (device-code flow; works in remote shells)
dlazy auth login
```

Alternate auth: `dlazy auth set YOUR_API_KEY`, or set the `DLAZY_API_KEY`
env var. Config lives at `~/.dlazy/config.json` (Windows:
`%USERPROFILE%\.dlazy\`).

Global flags every command accepts: `--api-key`, `--base-url`, `--verbose`,
`--format <json|url|text>`, `--refresh-manifest`, `-l/--lang <locale>`.

---

## Phase 1 — Discover capabilities

```bash
dlazy --help                         # top-level command surface
dlazy tools list

_meta.json

{
  "ownerId": "kn7c5wgeajfcfvdfb5ceemvdb984cjpd",
  "slug": "dlazy-start",
  "version": "2.0.27",
  "publishedAt": 1791423028614
}

skill-card.md

## Description:

A quickstart for AI agents using the dLazy CLI to discover and run cloud and local media tools, authenticate, and monitor long-running tasks.

This skill is ready for commercial/non-commercial use.

## Publisher:

[dlazyai](https://clawhub.ai/user/dlazyai)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and AI-agent users follow this quickstart to install and authenticate the dLazy CLI, inspect available tools and their costs, invoke media tools, and troubleshoot asynchronous tasks.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Installing the CLI or optional runtimes executes third-party packages in the local environment.

Mitigation: Install only from trusted sources, and pin or preinstall dependencies in controlled environments.

Risk: API keys or browser cookies could expose credentials and active browser sessions.

Mitigation: Prefer device-code login over command-line keys; allow browser-cookie access only when explicitly intended for the target service.

Risk: Cloud tool calls may consume paid credits or access remote media services.

Mitigation: Inspect the tool and its cost before invocation; use dry runs where available.

## Reference(s):

- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-start)
- [dLazy website](https://dlazy.com)
- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)
- [dLazy CLI repository (listed in skill metadata)](https://github.com/dlazy-ai/cli)

## Skill Output:

**Output Type(s):** [Guidance, Shell commands, Configuration instructions]

**Output Format:** [Markdown with shell commands and JSON examples]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Tool responses may include JSON results or media URLs; long-running tasks require status polling.]

## Skill Version(s):

2.0.27 (source: ClawHub release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

SKILL-cn.md

---
name: dlazy-start
version: 2.0.6
description: "AI 编排器（Claude Code / Cursor / Codex / Copilot）驱动 @dlazy/cli 的快速上手手册。覆盖安装、鉴权、能力探测、调用云端/本地工具、轮询异步任务,以及常见故障恢复。"
triggers:
  - dLazy CLI 智能体上手手册
metadata: {"clawdbot":{"emoji":"🎬","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli","installAlternative":"npx @dlazy/cli","homepage":"https://dlazy.com","source":"https://github.com/dlazy-ai/cli","author":"dlazyai","license":"AGPL-3.0-or-later","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"你正在为用户操作 @dlazy/cli。先探测:跑 `dlazy tools list` 看可用工具,`dlazy tools describe <名字>` 看单工具的 input/output schema 和成本。调用形态:`dlazy <工具名> --input @file.json`(或加 `--format json` 拿机读 envelope)。异步任务用 `dlazy status <generateId>` 轮询。需要本地 runtime 时跑 `dlazy doctor remotion --install` 或 `dlazy doctor yt-dlp --install`。在没用 `dlazy tools list` 核实之前,绝不声称某工具存在。"}}
---

# 智能体上手手册 Start

[English](./SKILL.md) · [中文](./SKILL-cn.md)

给 AI 编排器(Claude Code / Cursor / Codex / Copilot)用的最小契约。CLI 本质是一个工具分发壳:每个注册的云端/本地工具都会变成顶层 subcommand。CLI 不内置项目工作目录或 pipeline 状态机 —— 那些是上层 agent 的概念。

License: AGPL-3.0-or-later。

## 本 skill 教什么

你从鉴权一路驱动 `@dlazy/cli` 到工具调用:

- **云端工具**(40+) —— 图像 / 视频 / 音频 / 文本服务(Seedream / Recraft / MJ / Veo / Seedance / Kling / ElevenLabs / …)
- **本地工具**(40+) —— `state_lock_profile`、`video_compose`、`post_render_gate`、`scene_detect`、`frame_sampler`、`audio_mixer`、`audio_probe`、`transcribe`、`subtitle`、`color_grade`、`extract_segment`、`ffmpeg_run`、…(完整列表跑 `dlazy tools list`)
- **CLI 命令**: `auth`、`doctor`、`tools list`、`tools describe`、`status`,再加上每个注册工具对应的一个顶层 subcommand。

---

## Phase 0 — 安装与鉴权

```bash
# 一次性安装
npm install -g @dlazy/cli

# 登录(设备码流程;远程终端也可用)
dlazy auth login
```

备选鉴权:`dlazy auth set YOUR_API_KEY`,或设 `DLAZY_API_KEY` 环境变量。配置存在 `~/.dlazy/config.json`(Windows:`%USERPROFILE%\.dlazy\`)。

所有命令都接受的全局 flag:`--api-key`、`--base-url`、`--verbose`、`--format <json|url|text>`、`--refresh-manifest`、`-l/--lang <locale>`。

---

## Phase 1 — 能力探测

```bash
dlazy --help                         # 顶层命令面
dlazy tools list                     # 注册工具列表 + 类型 + 成本形态
dlazy tools describe <名字>          # 单工具 input/output JSON schema + hasCosts + 示例
```

可选本地 runtime 需要一次性安装:

```bash
dlazy doctor remotion                # 报 Remotion composer 状态
dlazy doctor remotion --install      # 约 50s,装 bundled composer

dlazy doctor yt-dlp --install        # 用 video_downloader 拉 YouTube 等需要
dlazy doctor yt-dlp --install --proxy http://127.0.0.1:1087
```

部分沙箱通过 `DLAZY_DISABLED_TOOLS=<逗号分隔>` 限制工具面;被禁用的工具不会出现在 `dlazy --help` 里,直接调会返回明确的 `tool_disabled` 错误。

---

## Phase 2 — 调用工具

每个工具都是顶层 subcommand:

```bash
# 命令行 flag(对应 input schema)
dlazy gpt-image-2 --prompt "黄昏中的赛博朋克猫"

# JSON 输入文件(复杂结构推荐)
dlazy video_compose --input @work/compose.json --format json

# 干跑校验(不发远程调用,不扣额度)
dlazy seedance-2-0 --input @plan.json --dry-run
```

每个工具的 help 是从 schema 生成的:

```bash
dlazy <工具名>

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 9, 2026.

About

Avoid when

Public facts

Install and run

Documentation

Extracted files

SKILL.md

_meta.json

skill-card.md

SKILL-cn.md

Related agents

activepieces

cherry-studio

AionUi

CopilotKit

Machine-readable data