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dlazyai

Dlazy Chat

作者 dlazy · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install dlazy-chat
功能描述
Chat with the dlazy sandbox agent — a project-scoped assistant that runs skills end-to-end over multiple turns. Discover skills and projects with dlazy skill...
使用说明 (SKILL.md)

dlazy-chat

English · 中文

Chat with the dlazy sandbox agent — a project-scoped assistant that runs skills end-to-end over multiple turns. Discover skills and projects with dlazy skills list / dlazy projects list.

Trigger Keywords

  • chat, talk to the agent
  • sandbox agent, project conversation
  • continue a project, multi-turn task

Authentication

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


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:

```bash
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 sandbox agent. When you invoke it:

  • Your messages and options are sent to the dLazy API (api.dlazy.com), which streams the agent's reply back to your terminal.
  • Any local files you attach via --files are uploaded to dLazy's media storage (files.dlazy.com) first, then referenced by url.
  • Chat sessions are tracked per project so follow-up turns keep context; project and skill ids come from dlazy projects list / dlazy skills list.

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

This skill talks to the dlazy sandbox agent — a project-scoped assistant that can run skills (templates) end-to-end. Use it for conversational, multi-turn work rather than one-shot generation.

Discover Skills and Projects

# List the skills/templates you can start a chat with
dlazy skills list

# List existing projects in your organization
dlazy projects list

Start or Continue a Chat

# Auto-select a template from your prompt (creates a new project)
dlazy chat --prompt "Make a 3-scene storyboard about a city at night"

# Start a new project with a specific skill/template
dlazy chat --skill storyboard --prompt "..."

# Continue an existing project (skips --skill)
dlazy chat --project \x3Cproject_id> --prompt "..."

# Attach local files (uploaded to storage first)
dlazy chat --project \x3Cproject_id> --prompt "Use this reference" --files ref.png

# Session control
dlazy chat --project \x3Cproject_id> --clear      # drop the saved session, start fresh
dlazy chat --project \x3Cproject_id> --compact    # compact the current session's context

On a TTY, dlazy chat stays interactive after the first turn — type follow-up messages, or exit to leave.

CRITICAL INSTRUCTION FOR AGENT:

  1. Run dlazy skills list (and dlazy projects list when continuing work) to discover valid ids.
  2. Pick --skill for a new project, or --project to continue an existing one — never both.
  3. Always pass --prompt for non-interactive (no-TTY) runs.
  4. Run dlazy chat -h to see every option.

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
Install only if you intend to use dLazy's hosted service. Treat prompts, project context, and any files passed with --files as data sent to dLazy, and protect or rotate the stored API key if the machine is shared or compromised.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose is to chat with a project-scoped dLazy sandbox agent, and the artifacts disclose the CLI commands, remote API endpoints, project context, and optional file upload behavior.
Instruction Scope
The trigger phrases include generic terms like "chat" and "talk to the agent," which could cause accidental routing, but the runtime instructions otherwise stay focused on dLazy chat usage and error handling.
Install Mechanism
Installation is disclosed as a pinned npm/npx invocation for @dlazy/cli, with source, npm package, homepage, and required binaries listed.
Credentials
Network access to api.dlazy.com and files.dlazy.com, local file reads for explicitly attached files, and prompt/project data transfer are proportionate to a hosted chat-agent integration and are described in the skill text.
Persistence & Privilege
The CLI stores a dLazy API key in ~/.dlazy/config.json or accepts DLAZY_API_KEY; this is sensitive but disclosed, user-controlled, and tied to authentication for the service.
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-chat
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dlazy-chat 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
dlazy-chat 1.2.0 - Added detailed usage instructions for authentication with dLazy API key, including device-code flow, manual key setting, and key retrieval steps. - Included comprehensive error code documentation and critical agent instructions for handling insufficient credits and unauthorized errors. - Expanded how-to and examples for discovering skills, managing projects, and using the `dlazy chat` command in multiple scenarios. - Updated metadata with npm install recommendations and version pinning for CLI dependency. - Clarified interaction model, session management, and security practices regarding credentials and storage.
元数据
Slug dlazy-chat
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 Chat 是什么?

Chat with the dlazy sandbox agent — a project-scoped assistant that runs skills end-to-end over multiple turns. Discover skills and projects with dlazy skill... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 29 次。

如何安装 Dlazy Chat?

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

Dlazy Chat 是免费的吗?

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

Dlazy Chat 支持哪些平台?

Dlazy Chat 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 Chat?

由 dlazy(@dlazyai)开发并维护,当前版本 v1.2.0。

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