{"id":"378db546-5634-467e-b176-c3f0b50d96af","entityType":"agent","slug":"clawhub-unisound-llm-unisound-med-health-consult","name":"unisound-med-health-consult","canonicalUrl":"https://www.xpersona.co/agent/clawhub-unisound-llm-unisound-med-health-consult","canonicalPath":"/agent/clawhub-unisound-llm-unisound-med-health-consult","generatedAt":"2026-10-11T21:00:37.262Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T17:43:02.782Z","emptyReason":null},"description":"健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-health-consult Owner: unisound-llm Summary: 健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:20:32.117Z | user - Default model changed from u1-insuremed to u2-med in the documentation. - Removed the file skill-card.md; no code or interface changes. - No other functional or parameter modifications. v1.0.0 | 2026-05-19T09:","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. 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no code or interface changes.\n- No other functional or parameter modifications.\n\nv1.0.0 | 2026-05-19T09:30:22.742Z | user\n\nmed-llm-health-consult v1.0.0\n\n- Initial release providing health consultation and smart triage/department recommendation.\n- Switch between consultation and triage modes via `--task` (hc for health Q&A, hg for triage).\n- Accepts input as direct question, JSON/JSONL file, or stdin; outputs structured JSON.\n- Integrates with internal medical LLM (default: u1-insuremed) via configurable API.\n- Supports customizable system prompts and flexible parameter options.\n- Designed to be standalone, deployable with only `scripts/run.py`.\n\nArchive index:\n\nArchive v1.0.2: 4 files, 7723 bytes\n\nFiles: _meta.json (146b), scripts/run.py (12985b), skill-card.md (2027b), SKILL.md (2992b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: med-llm-health-consult\ndescription: 健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"emoji\": \"🩺\"\n      }\n  }\n---\n\n# 健康咨询与导诊\n\n## 概述\n\n面向大众健康咨询与就医路径引导，由医疗大模型结合场景提示词作答。\n\n具体场景通过 **`--task`** 切换系统提示词（见下表），能力依赖内部医疗大模型；集成方也可通过 `--system-prompt` 完全自定义。\n\n| `--task` | 能力 |\n| --- | --- |\n| `hc` | 健康咨询与体检解读问答 |\n| `hg` | 智能导诊与挂号科室推荐 |\n\n本能力与具体业务请求解耦：平台或调用方如何组织用户输入由集成方决定；此处只约定**如何把题目交给脚本**（见下）。\n\n## 题目输入（三选一）\n\n1. **`--question`**：直接传入完整题干字符串。  \n2. **`--input PATH`**：  \n   - `.jsonl`：每行一个 JSON 对象，须含非空字符串字段 `question`；可用 `--index` / `--batch` / `--match-id` 选取记录；  \n   - `.json`：单个对象，须含 `question`；  \n   - 其他扩展名：按 UTF-8 纯文本整文件作为题干。  \n   - 传 `-` 时从 **stdin** 读取一条 JSON（含 `question`）或纯文本。  \n3. **stdin**（且未传 `--question` / `--input`、且 stdin 非 TTY）：读入 JSON 对象或纯文本，规则同 `-`。\n\n可在 JSON 的 `other.task` 中指定任务类型（与 `--task` 等价；命令行 `--task` 优先）。\n\n## 模型\n\n- 默认 `u2-med`，接口 `https://maas-api.hivoice.cn/v1/chat/completions`（可通过参数覆盖）。\n\n## 用法示例\n\n```bash\n# 指定任务类型与题干\npython3 scripts/run.py --task hc --question \"题干……\" --appkey YOUR_KEY\n\n# 从 jsonl 取题（other.task 可省略若命令行已传 --task）\npython3 scripts/run.py --task hc --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY\n```\n\n## 参数\n\n- `--task`：**必填**（除非 `other.task` 已给出）。见上表。\n- `--question` / `--input`：见上，与 stdin 三选一（`--question` 与 `--input` 不可同时使用）。\n- `--appkey STRING`：**必填**（`--dry-run` 时除外）。内部医疗大模型鉴权 key。\n- `--index`、`--match-id`、`--batch`：仅对 `.jsonl` 生效。\n- `--dry-run`：不调用模型，仅输出解析后的题目 JSON。\n- `--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`：调模型参数。\n- `--output PATH`：另存完整 JSON（批量为 NDJSON）。\n- `--text-only`：标准输出仅打印模型答案文本。\n\n## 输出\n\n默认可解析 JSON：含 `status`、`task`、`task_title`、`question`、`answer`、`record_index`、`meta`、`model`、`input_mode`、`input_path` 等；`skill` 为本 skill 标题。\n\n## 合规说明\n\n输出为模型辅助信息，不构成正式诊疗决策；涉及真实患者数据须先脱敏并遵守院内流程。\n\nFile v1.0.2:_meta.json\n\n{\n  \"ownerId\": \"kn7ft98qwhxyrgcy7b7rzdhrrd8366k6\",\n  \"slug\": \"unisound-med-health-consult\",\n  \"version\": \"1.0.2\",\n  \"publishedAt\": 1784182832117\n}\n\nFile v1.0.2:skill-card.md\n\n## Description:\n\nProvides health consultation, physical exam interpretation, and medical department-routing guidance through task-specific prompts to a configured medical LLM.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[unisound-llm](https://clawhub.ai/user/unisound-llm)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and integrators use this skill to submit health questions, physical exam interpretation requests, or triage-routing prompts to a medical LLM and receive explanatory answers or suggested registration departments. Outputs are model-assisted information and are not formal clinical decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive health questions and bearer credentials can be sent to the configured API endpoint.\n\nMitigation: Use only de-identified questions, avoid passing secrets through shell history where possible, and keep --api-url limited to trusted HTTPS endpoints.\n\nRisk: Model-assisted medical guidance may be incomplete, misleading, or unsuitable for regulated patient care.\n\nMitigation: Treat outputs as informational support only and require appropriate clinical review before using them in real patient workflows.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-health-consult)\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Guidance]\n\n**Output Format:** [JSON by default, with optional plain text answer output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports single-question, JSON, JSONL batch, text file, and stdin inputs; can write complete JSON or NDJSON results to a file.]\n\n## Skill Version(s):\n\n1.0.2 (source: server release evidence)\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\nArchive v1.0.0: 4 files, 7778 bytes\n\nFiles: _meta.json (146b), scripts/run.py (12991b), skill-card.md (2289b), SKILL.md (2998b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: med-llm-health-consult\ndescription: 健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"emoji\": \"🩺\"\n      }\n  }\n---\n\n# 健康咨询与导诊\n\n## 概述\n\n面向大众健康咨询与就医路径引导，由医疗大模型结合场景提示词作答。\n\n具体场景通过 **`--task`** 切换系统提示词（见下表），能力依赖内部医疗大模型；集成方也可通过 `--system-prompt` 完全自定义。\n\n| `--task` | 能力 |\n| --- | --- |\n| `hc` | 健康咨询与体检解读问答 |\n| `hg` | 智能导诊与挂号科室推荐 |\n\n本能力与具体业务请求解耦：平台或调用方如何组织用户输入由集成方决定；此处只约定**如何把题目交给脚本**（见下）。\n\n## 题目输入（三选一）\n\n1. **`--question`**：直接传入完整题干字符串。  \n2. **`--input PATH`**：  \n   - `.jsonl`：每行一个 JSON 对象，须含非空字符串字段 `question`；可用 `--index` / `--batch` / `--match-id` 选取记录；  \n   - `.json`：单个对象，须含 `question`；  \n   - 其他扩展名：按 UTF-8 纯文本整文件作为题干。  \n   - 传 `-` 时从 **stdin** 读取一条 JSON（含 `question`）或纯文本。  \n3. **stdin**（且未传 `--question` / `--input`、且 stdin 非 TTY）：读入 JSON 对象或纯文本，规则同 `-`。\n\n可在 JSON 的 `other.task` 中指定任务类型（与 `--task` 等价；命令行 `--task` 优先）。\n\n## 模型\n\n- 默认 `u1-insuremed`，接口 `https://maas-api.hivoice.cn/v1/chat/completions`（可通过参数覆盖）。\n\n## 用法示例\n\n```bash\n# 指定任务类型与题干\npython3 scripts/run.py --task hc --question \"题干……\" --appkey YOUR_KEY\n\n# 从 jsonl 取题（other.task 可省略若命令行已传 --task）\npython3 scripts/run.py --task hc --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY\n```\n\n## 参数\n\n- `--task`：**必填**（除非 `other.task` 已给出）。见上表。\n- `--question` / `--input`：见上，与 stdin 三选一（`--question` 与 `--input` 不可同时使用）。\n- `--appkey STRING`：**必填**（`--dry-run` 时除外）。内部医疗大模型鉴权 key。\n- `--index`、`--match-id`、`--batch`：仅对 `.jsonl` 生效。\n- `--dry-run`：不调用模型，仅输出解析后的题目 JSON。\n- `--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`：调模型参数。\n- `--output PATH`：另存完整 JSON（批量为 NDJSON）。\n- `--text-only`：标准输出仅打印模型答案文本。\n\n## 输出\n\n默认可解析 JSON：含 `status`、`task`、`task_title`、`question`、`answer`、`record_index`、`meta`、`model`、`input_mode`、`input_path` 等；`skill` 为本 skill 标题。\n\n## 合规说明\n\n输出为模型辅助信息，不构成正式诊疗决策；涉及真实患者数据须先脱敏并遵守院内流程。\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7ft98qwhxyrgcy7b7rzdhrrd8366k6\",\n  \"slug\": \"unisound-med-health-consult\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1779183022742\n}\n\nFile v1.0.0:skill-card.md\n\n## Description: <br>\nProvides health consultation, health-check interpretation, and triage department recommendations through task-selected medical model prompts. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[unisound-llm](https://clawhub.ai/user/unisound-llm) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal developers and healthcare workflow integrators use this skill to route user-provided health questions to a configured medical LLM for general health Q&A, health-check interpretation, or department triage recommendations. Outputs are assistive information and should not be treated as formal clinical decisions. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Health questions are sent to the configured medical model endpoint. <br>\nMitigation: Avoid identifiable patient information unless the workflow has been approved by the organization; use --dry-run to inspect parsed input before making a network call. <br>\nRisk: Model answers may be mistaken for clinical decisions. <br>\nMitigation: Present outputs as assistive information and require appropriate clinical or institutional review for real patient care. <br>\nRisk: The API key is provided on the command line or by the calling workflow. <br>\nMitigation: Keep the key in an approved secret-handling path and avoid logging command invocations that include credentials. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/unisound-med-health-consult) <br>\n- [Publisher profile](https://clawhub.ai/user/unisound-llm) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, JSON, Guidance] <br>\n**Output Format:** [JSON by default, with optional plain text answer output] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Can write full results to a file; batch JSONL input emits NDJSON.] <br>\n\n## Skill Version(s): <br>\n1.0.0 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\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. <br>","readmeExcerpt":"Skill: unisound-med-health-consult Owner: unisound-llm Summary: 健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:20:32.117Z | user - Default model changed from u1-insuremed to u2-med in the documentation. - Removed the file skill-card.md; no code or interface changes. - No other functional or parameter modifications. v1.0.0 | 2026-05-19T09:","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"# 指定任务类型与题干\npython3 scripts/run.py --task hc --question \"题干……\" --appkey YOUR_KEY\n\n# 从 jsonl 取题（other.task 可省略若命令行已传 --task）\npython3 scripts/run.py --task hc --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY"},{"language":"bash","snippet":"# 指定任务类型与题干\npython3 scripts/run.py --task hc --question \"题干……\" --appkey YOUR_KEY\n\n# 从 jsonl 取题（other.task 可省略若命令行已传 --task）\npython3 scripts/run.py --task hc --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: med-llm-health-consult\ndescription: 健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"emoji\": \"🩺\"\n      }\n  }\n---\n\n# 健康咨询与导诊\n\n## 概述\n\n面向大众健康咨询与就医路径引导，由医疗大模型结合场景提示词作答。\n\n具体场景通过 **`--task`** 切换系统提示词（见下表），能力依赖内部医疗大模型；集成方也可通过 `--system-prompt` 完全自定义。\n\n| `--task` | 能力 |\n| --- | --- |\n| `hc` | 健康咨询与体检解读问答 |\n| `hg` | 智能导诊与挂号科室推荐 |\n\n本能力与具体业务请求解耦：平台或调用方如何组织用户输入由集成方决定；此处只约定**如何把题目交给脚本**（见下）。\n\n## 题目输入（三选一）\n\n1. **`--question`**：直接传入完整题干字符串。  \n2. **`--input PATH`**：  \n   - `.jsonl`：每行一个 JSON 对象，须含非空字符串字段 `question`；可用 `--index` / `--batch` / `--match-id` 选取记录；  \n   - `.json`：单个对象，须含 `question`；  \n   - 其他扩展名：按 UTF-8 纯文本整文件作为题干。  \n   - 传 `-` 时从 **stdin** 读取一条 JSON（含 `question`）或纯文本。  \n3. **stdin**（且未传 `--question` / `--input`、且 stdin 非 TTY）：读入 JSON 对象或纯文本，规则同 `-`。\n\n可在 JSON 的 `other.task` 中指定任务类型（与 `--task` 等价；命令行 `--task` 优先）。\n\n## 模型\n\n- 默认 `u2-med`，接口 `https://maas-api.hivoice.cn/v1/chat/completions`（可通过参数覆盖）。\n\n## 用法示例\n\n```bash\n# 指定任务类型与题干\npython3 scripts/run.py --task hc --question \"题干……\" --appkey YOUR_KEY\n\n# 从 jsonl 取题（other.task 可省略若命令行已传 --task）\npython3 scripts/run.py --task hc --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY\n```\n\n## 参数\n\n- `--task`：**必填**（除非 `other.task` 已给出）。见上表。\n- `--question` / `--input`：见上，与 stdin 三选一（`--question` 与 `--input` 不可同时使用）。\n- `--appkey STRING`：**必填**（`--dry-run` 时除外）。内部医疗大模型鉴权 key。\n- `--index`、`--match-id`、`--batch`：仅对 `.jsonl` 生效。\n- `--dry-run`：不调用模型，仅输出解析后的题目 JSON。\n- `--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`：调模型参数。\n- `--output PATH`：另存完整 JSON（批量为 NDJSON）。\n- `--text-only`：标准输出仅打印模型答案文本。\n\n## 输出\n\n默认可解析 JSON：含 `status`、`task`、`task_title`、`question`、`answer`、`record_index`、`meta`、`model`、`input_mode`、`input_path` 等；`skill` 为本 skill 标题。\n\n## 合规说明\n\n输出为模型辅助信息，不构成正式诊疗决策；涉及真实患者数据须先脱敏并遵守院内流程。"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7ft98qwhxyrgcy7b7rzdhrrd8366k6\",\n  \"slug\": \"unisound-med-health-consult\",\n  \"version\": \"1.0.2\",\n  \"publishedAt\": 1784182832117\n}"},{"path":"skill-card.md","content":"## Description:\n\nProvides health consultation, physical exam interpretation, and medical department-routing guidance through task-specific prompts to a configured medical LLM.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[unisound-llm](https://clawhub.ai/user/unisound-llm)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and integrators use this skill to submit health questions, physical exam interpretation requests, or triage-routing prompts to a medical LLM and receive explanatory answers or suggested registration departments. Outputs are model-assisted information and are not formal clinical decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive health questions and bearer credentials can be sent to the configured API endpoint.\n\nMitigation: Use only de-identified questions, avoid passing secrets through shell history where possible, and keep --api-url limited to trusted HTTPS endpoints.\n\nRisk: Model-assisted medical guidance may be incomplete, misleading, or unsuitable for regulated patient care.\n\nMitigation: Treat outputs as informational support only and require appropriate clinical review before using them in real patient workflows.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-health-consult)\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Guidance]\n\n**Output Format:** [JSON by default, with optional plain text answer output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports single-question, JSON, JSONL batch, text file, and stdin inputs; can write complete JSON or NDJSON results to a file.]\n\n## Skill Version(s):\n\n1.0.2 (source: server release evidence)\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."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-health-consult Owner: unisound-llm Summary: 健康咨询、体检解读与智能导诊挂号科室推荐。通过 --task 区分咨询与导诊场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:20:32.117Z | user - Default model changed from u1-insuremed to u2-med in the documentation. - Removed the file skill-card.md; no code or interface changes. - No other functional or parameter modifications. v1.0.0 | 2026-05-19T09:","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":856,"uniquenessScore":55,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T17:43:02.782Z","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":"2026-10-11T17:43:02.782Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-11T21:00:37.262Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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