{"id":"b74f600d-bbe2-486c-8dec-003fa7c3e3b8","entityType":"agent","slug":"clawhub-dlazyai-dlazy-claude-opus-4-7","name":"大模型对话 Claude Opus 4.7","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dlazyai-dlazy-claude-opus-4-7","canonicalPath":"/agent/clawhub-dlazyai-dlazy-claude-opus-4-7","generatedAt":"2026-10-10T11:53:55.060Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T09:00:02.107Z","emptyReason":null},"description":"Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inp...","descriptionLabel":"Source description","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.5K downloads reported by the source. 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Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inp...\n\nTags: latest:1.3.1\n\nVersion history:\n\nv1.3.1 | 2026-07-09T01:40:22.183Z | user\n\nset Chinese display name for CN search\n\nv1.1.3 | 2026-07-07T20:09:23.713Z | user\n\n更新技能配置与内容\n\nv1.3.0 | 2026-07-07T19:38:35.886Z | auto\n\n- Upgraded @dlazy/cli dependency to version 1.2.0 for both install and npx commands.\n- Updated the skill version to 1.3.0.\n- Improved metadata formatting and included a bilingual (EN/中文) description.\n- Removed the deprecated file skill-card.md.\n\nv1.1.2 | 2026-06-02T01:37:26.864Z | user\n\nUpdate model skills (names/params refreshed); add search-audio/image/video\n\nv1.1.1 | 2026-05-06T14:03:08.210Z | auto\n\n- Updated to version 1.1.1 with expanded documentation and clearer usage instructions.\n- Added detailed API authentication, installation, and error handling guidance.\n- Included CLI command reference and usage examples for multimodal input (text, image, video).\n- Provided explicit instructions for handling insufficient balance and missing API key errors.\n- Outlined output format for both synchronous and asynchronous task execution.\n\nArchive index:\n\nArchive v1.3.1: 4 files, 8188 bytes\n\nFiles: skill-card.md (2640b), SKILL-cn.md (6834b), SKILL.md (7279b), _meta.json (140b)\n\nFile v1.3.1:SKILL.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.2\r\ndescription: Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs. Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': 'When invoking this skill, use dlazy claude-opus-4.7 -h for help.' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\r\n\r\n## Trigger Keywords\r\n\r\n- claude-opus-4.7\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis 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.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe 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.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.0`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- 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.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis 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](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy claude-opus-4.7` to get the result.\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type | Example Message |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401 | Unauthorized (No API Key) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | Missing required parameter | `error: required option '--prompt ' not specified` |\r\n| 502 | Local file read error | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API request failed (no balance) | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API request failed (server error) | `HTTP status code error (500 server crash)` |\r\n| 504 | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**:\r\n>\r\n> 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](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 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](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.1:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-claude-opus-4-7\",\n \"version\": \"1.3.1\",\n \"publishedAt\": 1783561222183\n}\n\nFile v1.3.1:skill-card.md\n\n## Description:\n\nProvides agent access to dLazy's hosted Claude Opus 4.7 CLI for long-context reasoning, code generation, complex tool orchestration, and multimodal inputs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and external agent users use this skill to call Claude Opus 4.7 through the dLazy CLI with prompt, image, and video inputs. It is suited for hosted model inference workflows that can send prompts and selected media to dLazy services.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill relies on the external @dlazy/cli npm package.\n\nMitigation: Install only when the publisher is trusted, prefer npx or an isolated environment for temporary use, and verify the intended package version is 1.2.0.\n\nRisk: Prompts and selected local image or video files are sent to dLazy services for inference.\n\nMitigation: Avoid sending sensitive data unless approved for the use case, and review dLazy service terms and organizational data-handling requirements before use.\n\nRisk: Authentication may store a dLazy API key in the local CLI configuration.\n\nMitigation: Use a revocable API key, rotate or revoke it from the dLazy dashboard when needed, and prefer per-invocation environment variables or isolated configuration for shared systems.\n\nRisk: The artifact documentation contains a package-version inconsistency between the install command and provenance text.\n\nMitigation: Follow the security guidance to verify that the intended @dlazy/cli package version is 1.2.0 before installation or execution.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-claude-opus-4-7)\n- [dLazy CLI source](https://github.com/dlazyai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [JSON result envelope with generated output values or asynchronous task status]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires npm or npx, a dLazy API key, and network access to api.dlazy.com and files.dlazy.com.]\n\n## Skill Version(s):\n\n1.3.1 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers 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.\n\nFile v1.3.1:SKILL-cn.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.2\r\ndescription: Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': '当调用此技能时，可以使用 dlazy claude-opus-4.7 -h 查看帮助信息。' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\n\r\n## 触发关键词\r\n\r\n- claude-opus-4.7\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.0.9` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.0`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy claude-opus-4.7` 命令获取结果。\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --images [images...] 参考图 [image: url or local path] (max 10)\r\n --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型 | 示例信息 |\r\n| ---- | -------------------------- | ---------------------------------------------------------------------------------------------- |\r\n| 401 | 未授权 (API Key缺失或无效) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | 缺少必填参数 | `error: required option '--prompt ' not specified` |\r\n| 502 | 本地文件读取失败 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API 请求失败（余额不足） | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API 请求失败（服务端错误） | `HTTP status code error (500 server crash)` |\r\n| 504 | 异步任务执行失败 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}` |\r\n\r\n> **智能体关键指令**:\r\n>\r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set ` 设置后，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.1.3: 4 files, 8223 bytes\n\nFiles: skill-card.md (2748b), SKILL-cn.md (6834b), SKILL.md (7279b), _meta.json (140b)\n\nFile v1.1.3:SKILL.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.2\r\ndescription: Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs. Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': 'When invoking this skill, use dlazy claude-opus-4.7 -h for help.' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\r\n\r\n## Trigger Keywords\r\n\r\n- claude-opus-4.7\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis 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.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe 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.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.0`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- 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.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis 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](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy claude-opus-4.7` to get the result.\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type | Example Message |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401 | Unauthorized (No API Key) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | Missing required parameter | `error: required option '--prompt ' not specified` |\r\n| 502 | Local file read error | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API request failed (no balance) | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API request failed (server error) | `HTTP status code error (500 server crash)` |\r\n| 504 | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**:\r\n>\r\n> 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](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 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](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.1.3:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-claude-opus-4-7\",\n \"version\": \"1.1.3\",\n \"publishedAt\": 1783454963713\n}\n\nFile v1.1.3:skill-card.md\n\n## Description:
\nDlazy Claude Opus 4.7 lets an agent call dLazy's hosted Claude Opus 4.7 workflow for multimodal reasoning, code generation, and tool-oriented assistance with text, image, and video inputs.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[dlazyai](https://clawhub.ai/user/dlazyai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nDevelopers and external agents use this skill to send prompts and optional image or video inputs to dLazy's hosted model API and receive model-generated results. It is suited for long-context reasoning, code generation, and complex task orchestration where a cloud API call is acceptable.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Prompts and media files provided to the skill are sent to dLazy services for processing.
\nMitigation: Avoid sending sensitive or regulated data unless dLazy's service terms and the user's data-handling requirements allow it.
\nRisk: Authentication stores a dLazy API key in local CLI configuration or uses the DLAZY_API_KEY environment variable.
\nMitigation: Protect local credentials, prefer least-privilege environments, and rotate or revoke the key from the dLazy dashboard if exposure is suspected.
\nRisk: The skill depends on the external npm package @dlazy/cli rather than only the reviewed skill files.
\nMitigation: Install the pinned package version from the skill metadata and review the package source when higher assurance is required.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-claude-opus-4-7)
\n- [dLazy homepage](https://dlazy.com)
\n- [dLazy CLI source](https://github.com/dlazyai/cli)
\n- [npm package @dlazy/cli](https://www.npmjs.com/package/@dlazy/cli)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]
\n**Output Format:** [JSON response containing model outputs or async task status; generated outputs may include text, Markdown, code, commands, configuration, or guidance depending on the prompt.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires npm or npx and a dLazy API key; supports prompt input plus image and video references, dry-run mode, async task submission, and timeout control.]
\n\n## Skill Version(s):
\n1.1.3 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers 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.
\n\nFile v1.1.3:SKILL-cn.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.2\r\ndescription: Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': '当调用此技能时，可以使用 dlazy claude-opus-4.7 -h 查看帮助信息。' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\n\r\n## 触发关键词\r\n\r\n- claude-opus-4.7\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.0.9` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.0`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy claude-opus-4.7` 命令获取结果。\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --images [images...] 参考图 [image: url or local path] (max 10)\r\n --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型 | 示例信息 |\r\n| ---- | -------------------------- | ---------------------------------------------------------------------------------------------- |\r\n| 401 | 未授权 (API Key缺失或无效) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | 缺少必填参数 | `error: required option '--prompt ' not specified` |\r\n| 502 | 本地文件读取失败 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API 请求失败（余额不足） | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API 请求失败（服务端错误） | `HTTP status code error (500 server crash)` |\r\n| 504 | 异步任务执行失败 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}` |\r\n\r\n> **智能体关键指令**:\r\n>\r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set ` 设置后，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.0: 4 files, 8112 bytes\n\nFiles: skill-card.md (2452b), SKILL-cn.md (6834b), SKILL.md (7279b), _meta.json (140b)\n\nFile v1.3.0:SKILL.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.3.0\r\ndescription: Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs. Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': 'When invoking this skill, use dlazy claude-opus-4.7 -h for help.' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\r\n\r\n## Trigger Keywords\r\n\r\n- claude-opus-4.7\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis 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.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe 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.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.0`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- 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.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis 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](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy claude-opus-4.7` to get the result.\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type | Example Message |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401 | Unauthorized (No API Key) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | Missing required parameter | `error: required option '--prompt ' not specified` |\r\n| 502 | Local file read error | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API request failed (no balance) | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API request failed (server error) | `HTTP status code error (500 server crash)` |\r\n| 504 | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**:\r\n>\r\n> 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](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 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](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.0:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-claude-opus-4-7\",\n \"version\": \"1.3.0\",\n \"publishedAt\": 1783453115886\n}\n\nFile v1.3.0:skill-card.md\n\n## Description:
\nRoutes text, image, and video prompts through the dLazy CLI to Claude Opus 4.7 for long-context reasoning, coding, and multimodal work.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[dlazyai](https://clawhub.ai/user/dlazyai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nDevelopers and agent users use this skill to invoke Claude Opus 4.7 through dLazy's hosted CLI workflow for reasoning, code generation, tool orchestration, and multimodal analysis.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Prompts and attached context are sent to dLazy-operated infrastructure for hosted inference.
\nMitigation: Use this skill only when that transfer is acceptable, and avoid sending confidential files or credentials unless the publisher clarifies data handling.
\nRisk: Local media paths supplied to image, video, or audio fields may be uploaded to files.dlazy.com.
\nMitigation: Review file arguments before invocation and use dry-run behavior when checking payloads or cost estimates.
\nRisk: The workflow depends on the @dlazy/cli npm package and a dLazy API key.
\nMitigation: Verify the npm package and pinned version before installation, use scoped or revocable API keys, and rotate keys if exposed.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-claude-opus-4-7)
\n- [dLazy CLI source](https://github.com/dlazyai/cli)
\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)
\n- [dLazy homepage](https://dlazy.com)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]
\n**Output Format:** [JSON responses and Markdown/text guidance, typically produced through CLI shell commands]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May return asynchronous task identifiers when --no-wait is used; local media file arguments may be uploaded to dLazy media storage.]
\n\n## Skill Version(s):
\n1.3.0 (source: server release metadata and skill frontmatter)
\n\n## Ethical Considerations:
\nUsers 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.
\n\nFile v1.3.0:SKILL-cn.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.3.0\r\ndescription: Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': '当调用此技能时，可以使用 dlazy claude-opus-4.7 -h 查看帮助信息。' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\n\r\n## 触发关键词\r\n\r\n- claude-opus-4.7\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.0.9` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.0`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy claude-opus-4.7` 命令获取结果。\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --images [images...] 参考图 [image: url or local path] (max 10)\r\n --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型 | 示例信息 |\r\n| ---- | -------------------------- | ---------------------------------------------------------------------------------------------- |\r\n| 401 | 未授权 (API Key缺失或无效) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | 缺少必填参数 | `error: required option '--prompt ' not specified` |\r\n| 502 | 本地文件读取失败 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API 请求失败（余额不足） | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API 请求失败（服务端错误） | `HTTP status code error (500 server crash)` |\r\n| 504 | 异步任务执行失败 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}` |\r\n\r\n> **智能体关键指令**:\r\n>\r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set ` 设置后，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.1.2: 4 files, 7827 bytes\n\nFiles: skill-card.md (2400b), SKILL-cn.md (6860b), SKILL.md (6907b), _meta.json (140b)\n\nFile v1.1.2:SKILL.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.1\r\ndescription: Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.0.9\",\"installAlternative\":\"npx @dlazy/cli@1.0.9\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy claude-opus-4.7 -h for help.\"}}\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\r\n\r\n## Trigger Keywords\r\n\r\n- claude-opus-4.7\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis 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.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe 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.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.0.9 \r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.0.9`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- 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.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis 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](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy claude-opus-4.7` to get the result.\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type | Example Message |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401 | Unauthorized (No API Key) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | Missing required parameter | `error: required option '--prompt ' not specified` |\r\n| 502 | Local file read error | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API request failed (no balance) | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API request failed (server error) | `HTTP status code error (500 server crash)` |\r\n| 504 | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 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](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 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](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.1.2:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-claude-opus-4-7\",\n \"version\": \"1.1.2\",\n \"publishedAt\": 1780364246864\n}\n\nFile v1.1.2:skill-card.md\n\n## Description:
\nAnthropic's flagship multimodal model for long-context reasoning, code generation, and complex tool orchestration with text, image, and video inputs.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[dlazyai](https://clawhub.ai/user/dlazyai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nDevelopers and external users can invoke the dLazy CLI to send prompts and optional image or video inputs to a hosted Claude Opus 4.7 model endpoint for reasoning, code generation, and multimodal analysis.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: The skill requires a dLazy API key and uses an authenticated CLI.
\nMitigation: Install and authenticate only when you trust the publisher, and use credentials only in accounts and repositories where those permissions are appropriate.
\nRisk: Prompts and referenced local image or video files may be sent to dLazy API and storage endpoints.
\nMitigation: Review inputs before execution and avoid sending confidential or restricted files unless the service terms and account controls are acceptable.
\nRisk: The skill depends on installing or invoking the third-party @dlazy/cli package.
\nMitigation: Use the pinned package version from the skill metadata and review the package source and install path before deployment.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/dlazyai/dlazy-claude-opus-4-7)
\n- [dLazy CLI source](https://github.com/dlazyai/cli)
\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)
\n- [dLazy service](https://dlazy.com)
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, Code, Shell commands, JSON, Guidance]
\n**Output Format:** [JSON responses from the dLazy CLI, often containing model-generated text or structured output.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Async mode may return a generation identifier for later polling.]
\n\n## Skill Version(s):
\n1.1.2 (source: server release evidence)
\n\n## Ethical Considerations:
\nUsers 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.
\n\nFile v1.1.2:SKILL-cn.md\n\n---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.1\r\ndescription: Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.0.9\",\"installAlternative\":\"npx @dlazy/cli@1.0.9\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy claude-opus-4.7 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\n\r\n## 触发关键词\r\n\r\n- claude-opus-4.7\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.0.9` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.0.9 \r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.0.9`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy claude-opus-4.7` 命令获取结果。\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --images [images...] 参考图 [image: url or local path] (max 10)\r\n --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help display help for command\r\n```\r\n\r\n> 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.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n \"ok\": true,\r\n \"result\": {\r\n \"tool\": \"claude-opus-4.7\",\r\n \"modelId\": \"claude-opus-4-7\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"json\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"value\": {}\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy claude-opus-4.7 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型 | 示例信息 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401 | 未授权 (API Key缺失或无效) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\r\n| 501 | 缺少必填参数 | `error: required option '--prompt ' not specified` |\r\n| 502 | 本地文件读取失败 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\r\n| 503 | API 请求失败（余额不足） | `ok: false, code: \"insufficient_balance\"` |\r\n| 503 | API 请求失败（服务端错误） | `HTTP status code error (500 server crash)` |\r\n| 504 | 异步任务执行失败 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}` |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set ` 设置后，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.1.1: 4 files, 7799 bytes\n\nFiles: skill-card.md (2478b), SKILL-cn.md (6725b), SKILL.md (6772b), _meta.json (140b)\n\nFile v1.1.1:SKILL.md\n\n---\nname: dlazy-claude-opus-4.7\nversion: 1.1.1\ndescription: Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.0.9\",\"installAlternative\":\"npx @dlazy/cli@1.0.9\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy claude-opus-4.7 -h for help.\"}}\n---\n\n# dlazy-claude-opus-4.7\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\nAnthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\n\n## Trigger Keywords\n\n- claude-opus-4.7\n\n## Authentication\n\nAll requests require a dLazy API key. The recommended way to authenticate is:\n\n```bash\ndlazy login\n```\n\nThis 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.\n\n### Alternative: Set the Key Manually\n\nIf you already have an API key, you can save it directly:\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nThe 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.\n\n### Getting Your API Key Manually\n\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. Copy the key shown in the API Key section\n\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\n\n## About & Provenance\n\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **Maintainer**: dlazyai\n- **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec)\n- **Homepage**: [dlazy.com](https://dlazy.com)\n\nYou can install on demand without persisting a global binary by running:\n\n```bash\nnpx @dlazy/cli@1.0.9 \n```\n\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.0.9`). Review the GitHub source before installing.\n\n## How It Works\n\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\n\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\n- 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.\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\n\nThis 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](https://dlazy.com) for the full service terms.\n\n## Usage\n\n**CRITICAL INSTRUCTION FOR AGENT**:\nExecute `dlazy claude-opus-4.7` to get the result.\n\n```bash\ndlazy claude-opus-4.7 -h\n\nOptions:\n --prompt [prompt] Prompt\n --images [images...] Images [image: url or local path] (max 10)\n --videos [videos...] Videos [video: url or local path] (max 8)\n --dry-run Print payload + cost estimate without calling API\n --no-wait Return generateId immediately for async tasks\n --timeout Max seconds to wait for async completion (default: \"1800\")\n -h, --help display help for command\n```\n\n> 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.\n\n## Output Format\n\n```json\n{\n \"ok\": true,\n \"result\": {\n \"tool\": \"claude-opus-4.7\",\n \"modelId\": \"claude-opus-4-7\",\n \"outputs\": [\n {\n \"type\": \"json\",\n \"id\": \"o_xxxxxxxx\",\n \"value\": {}\n }\n ]\n }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\n\n## Examples\n\n```bash\ndlazy claude-opus-4.7 --prompt 'prompt content'\n```\n\n## Error Handling\n\n| Code | Error Type | Example Message |\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401 | Unauthorized (No API Key) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\n| 501 | Missing required parameter | `error: required option '--prompt ' not specified` |\n| 502 | Local file read error | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\n| 503 | API request failed (no balance) | `ok: false, code: \"insufficient_balance\"` |\n| 503 | API request failed (server error) | `HTTP status code error (500 server crash)` |\n| 504 | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\n\n> **AGENT CRITICAL INSTRUCTION**: \n> 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](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 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](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set ` and resume the task.\n\n## Tips\n\nVisit https://dlazy.com for more information.\n\nFile v1.1.1:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-claude-opus-4-7\",\n \"version\": \"1.1.1\",\n \"publishedAt\": 1778076188210\n}\n\nFile v1.1.1:skill-card.md\n\n## Description:
\nAnthropic's flagship multimodal model, exposed through the dLazy CLI for long-context reasoning, code generation, tool orchestration, and text, image, and video inputs.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[dlazyai](https://clawhub.ai/user/dlazyai)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nDevelopers and agent users use this skill to invoke Claude Opus 4.7 through dLazy for multimodal generation, code assistance, and long-context reasoning tasks. It is suited for workflows that can send selected prompts and local media files to a hosted dLazy service.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: The skill requires a dLazy API key for authenticated service access.
\nMitigation: Use a revocable dLazy API key and rotate or revoke it from the dLazy dashboard when access is no longer needed.
\nRisk: Prompts, parameters, and selected local media files may be sent to dLazy cloud endpoints for processing.
\nMitigation: Only pass prompts, stdin, prior outputs, images, and videos that are intended for processing by dLazy's hosted service.
\nRisk: The workflow depends on a pinned third-party CLI package.
\nMitigation: Review the pinned @dlazy/cli@1.0.9 package or source before installation.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/dlazyai/dlazy-claude-opus-4-7)
\n- [dLazy CLI source](https://github.com/dlazyai/cli)
\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)
\n- [dLazy homepage](https://dlazy.com)
\n- [dLazy API key dashboard](https://dlazy.com/dashboard/organization/api-key)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, json, shell commands, configuration, guidance]
\n**Output Format:** [Markdown guidance with shell commands and JSON result envelopes]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Supports prompt text plus image and video inputs; async mode can return a generateId for later polling.]
\n\n## Skill Version(s):
\n1.1.1 (source: ClawHub release metadata and skill frontmatter)
\n\n## Ethical Considerations:
\nUsers 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.
\n\nFile v1.1.1:SKILL-cn.md\n\n---\nname: dlazy-claude-opus-4.7\nversion: 1.1.1\ndescription: Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.0.9\",\"installAlternative\":\"npx @dlazy/cli@1.0.9\",\"homepage\":\"https://github.com/dlazyai/cli\",\"source\":\"https://github.com/dlazyai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy claude-opus-4.7 -h 查看帮助信息。\"}}\n---\n\n# dlazy-claude-opus-4.7\n\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\n\nAnthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\n\n## 触发关键词\n\n- claude-opus-4.7\n\n## 身份验证 (Authentication)\n\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\n\n```bash\ndlazy login\n```\n\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\n\n### 备选：手动设置 API Key\n\n如果你已有 API key，也可以直接保存：\n\n```bash\ndlazy auth set YOUR_API_KEY\n```\n\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\n\n### 手动获取 API Key\n\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\n3. 复制 API Key 区域显示的密钥\n\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\n\n## 关于与来源 (Provenance)\n\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\n- **维护者**: dlazyai\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.0.9` 版本）\n- **官网**: [dlazy.com](https://dlazy.com)\n\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\n\n```bash\nnpx @dlazy/cli@1.0.9 \n```\n\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.0.9`。安装前建议先到 GitHub 仓库审阅源码。\n\n## 工作原理\n\n此技能是 dLazy 托管 API 的轻量封装。调用时：\n\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\n\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\n\n## 使用方法\n\n**CRITICAL INSTRUCTION FOR AGENT**:\n执行 `dlazy claude-opus-4.7` 命令获取结果。\n\n```bash\ndlazy claude-opus-4.7 -h\n\nOptions:\n --prompt [prompt] 提示词\n --images [images...] 参考图 [image: url or local path] (max 10)\n --videos [videos...] 参考视频 [video: url or local path] (max 8)\n --dry-run Print payload + cost estimate without calling API\n --no-wait Return generateId immediately for async tasks\n --timeout Max seconds to wait for async completion (default: \"1800\")\n -h, --help display help for command\n```\n\n> 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.\n\n## 输出格式\n\n```json\n{\n \"ok\": true,\n \"result\": {\n \"tool\": \"claude-opus-4.7\",\n \"modelId\": \"claude-opus-4-7\",\n \"outputs\": [\n {\n \"type\": \"json\",\n \"id\": \"o_xxxxxxxx\",\n \"value\": {}\n }\n ]\n }\n}\n```\n\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\n\n## 命令示例\n\n```bash\ndlazy claude-opus-4.7 --prompt '提示词内容'\n```\n\n## 错误处理\n\n| Code | 错误类型 | 示例信息 |\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| 401 | 未授权 (API Key缺失或无效) | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"` |\n| 501 | 缺少必填参数 | `error: required option '--prompt ' not specified` |\n| 502 | 本地文件读取失败 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file` |\n| 503 | API 请求失败（余额不足） | `ok: false, code: \"insufficient_balance\"` |\n| 503 | API 请求失败（服务端错误） | `HTTP status code error (500 server crash)` |\n| 504 | 异步任务执行失败 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}` |\n\n> **智能体关键指令**: \n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set ` 设置后，然后继续执行任务。\n\n## Tips\n\nVisit https://dlazy.com for more information.","readmeExcerpt":"Skill: 大模型对话 Claude Opus 4.7 Owner: dlazyai Summary: Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inp... Tags: latest:1.3.1 Version history: v1.3.1 | 2026-07-09T01:40:22.183Z | user set Chinese display name for CN search v1.1.3 | 2026-07-07T20:09:23.713Z | user 更新技能配置与内容 v1.3.0 | 2026-07-07T19:38:35.886Z | aut","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"dlazy login"},{"language":"bash","snippet":"dlazy auth set YOUR_API_KEY"},{"language":"bash","snippet":"npx @dlazy/cli@1.0.9 "},{"language":"bash","snippet":"dlazy claude-opus-4.7 -h\n\nOptions:\n --prompt [prompt] Prompt\n --images [images...] Images [image: url or local path] (max 10)\n --videos [videos...] Videos [video: url or local path] (max 8)\n --dry-run Print payload + cost estimate without calling API\n --no-wait Return generateId immediately for async tasks\n --timeout Max seconds to wait for async completion (default: \"1800\")\n -h, --help display help for command"},{"language":"json","snippet":"{\n \"ok\": true,\n \"result\": {\n \"tool\": \"claude-opus-4.7\",\n \"modelId\": \"claude-opus-4-7\",\n \"outputs\": [\n {\n \"type\": \"json\",\n \"id\": \"o_xxxxxxxx\",\n \"value\": {}\n }\n ]\n }\n}"},{"language":"bash","snippet":"dlazy claude-opus-4.7 --prompt 'prompt content'"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.2\r\ndescription: Anthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs. Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': 'When invoking this skill, use dlazy claude-opus-4.7 -h for help.' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic's flagship multimodal model. Strong at long-context reasoning, code generation, and complex tool orchestration. Supports text, image, and video inputs.\r\n\r\n## Trigger Keywords\r\n\r\n- claude-opus-4.7\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis 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.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe 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.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.0`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client ove"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-claude-opus-4-7\",\n \"version\": \"1.3.1\",\n \"publishedAt\": 1783561222183\n}"},{"path":"skill-card.md","content":"## Description:\n\nProvides agent access to dLazy's hosted Claude Opus 4.7 CLI for long-context reasoning, code generation, complex tool orchestration, and multimodal inputs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and external agent users use this skill to call Claude Opus 4.7 through the dLazy CLI with prompt, image, and video inputs. It is suited for hosted model inference workflows that can send prompts and selected media to dLazy services.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill relies on the external @dlazy/cli npm package.\n\nMitigation: Install only when the publisher is trusted, prefer npx or an isolated environment for temporary use, and verify the intended package version is 1.2.0.\n\nRisk: Prompts and selected local image or video files are sent to dLazy services for inference.\n\nMitigation: Avoid sending sensitive data unless approved for the use case, and review dLazy service terms and organizational data-handling requirements before use.\n\nRisk: Authentication may store a dLazy API key in the local CLI configuration.\n\nMitigation: Use a revocable API key, rotate or revoke it from the dLazy dashboard when needed, and prefer per-invocation environment variables or isolated configuration for shared systems.\n\nRisk: The artifact documentation contains a package-version inconsistency between the install command and provenance text.\n\nMitigation: Follow the security guidance to verify that the intended @dlazy/cli package version is 1.2.0 before installation or execution.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-claude-opus-4-7)\n- [dLazy CLI source](https://github.com/dlazyai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [JSON result envelope with generated output values or asynchronous task status]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires npm or npx, a dLazy API key, and network access to api.dlazy.com and files.dlazy.com.]\n\n## Skill Version(s):\n\n1.3.1 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers 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."},{"path":"SKILL-cn.md","content":"---\r\nname: dlazy-claude-opus-4.7\r\nversion: 1.1.2\r\ndescription: Anthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\nmetadata:\r\n {\r\n 'clawdbot':\r\n {\r\n 'emoji': '🤖',\r\n 'requires': { 'bins': ['npm', 'npx'] },\r\n 'install': 'npm install -g @dlazy/cli@1.2.0',\r\n 'installAlternative': 'npx @dlazy/cli@1.2.0',\r\n 'homepage': 'https://github.com/dlazyai/cli',\r\n 'source': 'https://github.com/dlazyai/cli',\r\n 'author': 'dlazyai',\r\n 'license': 'see-repo',\r\n 'npm': 'https://www.npmjs.com/package/@dlazy/cli',\r\n 'configLocation': '~/.dlazy/config.json',\r\n 'apiEndpoints': ['api.dlazy.com', 'files.dlazy.com'],\r\n },\r\n 'openclaw': { 'systemPrompt': '当调用此技能时，可以使用 dlazy claude-opus-4.7 -h 查看帮助信息。' },\r\n }\r\n---\r\n\r\n# dlazy-claude-opus-4.7\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\nAnthropic 旗舰多模态模型，擅长长上下文推理、代码生成与复杂工具编排。支持文本、图片与视频输入。\r\n\r\n## 触发关键词\r\n\r\n- claude-opus-4.7\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.0.9` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.0 \r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.0`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy claude-opus-4.7` 命令获取结果。\r\n\r\n```bash\r\ndlazy claude-opus-4.7 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --images [images...] 参考图 [image: url or local path] (max 10)\r\n --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n -h, --help "}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":null,"editorialQuality":{"score":100,"threshold":65,"status":"thin","wordCount":1404,"uniquenessScore":42,"reasons":["uniqueness-below-45"]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-10T09:00:02.107Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-10T09:00:02.107Z","emptyReason":"This page has not been claimed by the agent 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