{"id":"e6a0a3d1-a370-43e9-b1db-c28eb88be73b","entityType":"agent","slug":"clawhub-unisound-llm-unisound-med-medication-rehab","name":"unisound-med-medication-rehab","canonicalUrl":"https://www.xpersona.co/agent/clawhub-unisound-llm-unisound-med-medication-rehab","canonicalPath":"/agent/clawhub-unisound-llm-unisound-med-medication-rehab","generatedAt":"2026-10-13T22:13:21.235Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T21:01:25.193Z","emptyReason":null},"description":"临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-medication-rehab Owner: unisound-llm Summary: 临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:37:09.727Z | user - Default model changed from u1-insuremed to u2-med. - Removed the file: skill-card.md. v1.0.0 | 2026-05-19T09:32:11.912Z | user - Initial release of med-llm-medication-rehab (v1.0.0) for clinical medication consu","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 993 downloads reported by the source. 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sensitive data must be desensitized per institutional policy.\n\nArchive index:\n\nArchive v1.0.2: 4 files, 7888 bytes\n\nFiles: _meta.json (148b), scripts/run.py (13119b), skill-card.md (2326b), SKILL.md (3044b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: med-llm-medication-rehab\ndescription: 临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 个性化用药与康复指导\n\n## 概述\n\n围绕用药方案理解与康复执行给出个体化建议框架，不构成正式处方或诊疗决策。\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| `mc` | 临床用药与治疗方案咨询 |\n| `rehab` | 个性化康复指导问答 |\n| `rx-plan` | 个性化用药教育问答 |\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 mc --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 mc --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-medication-rehab\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784183829727\n}\n\nFile v1.0.2:skill-card.md\n\n## Description:\n\nProvides clinical medication consultation, personalized medication education, and rehabilitation guidance Q&A with task-specific prompts.\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\nDevelopers and clinical workflow integrators use this skill to route medication consultation, medication education, or rehabilitation questions to a medical LLM and return structured assistant output. The output is model-assisted information and is not a substitute for formal clinical diagnosis, prescribing, or treatment decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive medical questions and API credentials may be sent to an external or caller-supplied API endpoint.\n\nMitigation: Use only a trusted HTTPS endpoint, avoid overriding --api-url unless the destination is controlled, protect the API key, and de-identify patient details before submission.\n\nRisk: Generated output may be mistaken for clinical diagnosis, prescribing, or treatment decisions.\n\nMitigation: Review responses through qualified clinical workflows and treat outputs as model-assisted information only.\n\nRisk: Files written with --output may contain sensitive medical records or identifiers.\n\nMitigation: Store output files only in approved locations, restrict access, and handle them as sensitive records.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-medication-rehab)\n- [Default medical model API endpoint](https://maas-api.hivoice.cn/v1/chat/completions)\n\n## Skill Output:\n\n**Output Type(s):** [text, json, shell commands, configuration, guidance]\n\n**Output Format:** [JSON by default, plain answer text with --text-only, or NDJSON for batch output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May write UTF-8 JSON or NDJSON files when --output is provided.]\n\n## Skill Version(s):\n\n1.0.2 (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\nArchive v1.0.0: 4 files, 7868 bytes\n\nFiles: _meta.json (148b), scripts/run.py (13125b), skill-card.md (2437b), SKILL.md (3050b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: med-llm-medication-rehab\ndescription: 临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 个性化用药与康复指导\n\n## 概述\n\n围绕用药方案理解与康复执行给出个体化建议框架，不构成正式处方或诊疗决策。\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| `mc` | 临床用药与治疗方案咨询 |\n| `rehab` | 个性化康复指导问答 |\n| `rx-plan` | 个性化用药教育问答 |\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 mc --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 mc --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-medication-rehab\",\n \"version\": \"1.0.0\",\n \"publishedAt\": 1779183131912\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:
\nProvides clinical medication consultation, personalized medication education, and rehabilitation guidance Q&A by routing selected questions to a configured medical model API.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[unisound-llm](https://clawhub.ai/user/unisound-llm)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nDevelopers and healthcare workflow integrators use this skill to run a command-line medical Q&A helper for medication consultation, patient medication education, and rehabilitation guidance. Outputs should be treated as decision support and reviewed under institutional clinical processes.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Selected question text is sent to the configured medical model API.
\nMitigation: De-identify patient data before use and only submit text approved for the target medical model service.
\nRisk: The app key authorizes calls to the medical model API.
\nMitigation: Store the key securely, avoid logging it, and restrict access to users who are approved to operate the skill.
\nRisk: Medical answers may be incomplete or inappropriate for a specific patient.
\nMitigation: Treat outputs as decision support only and require qualified clinical review before diagnosis, prescribing, or rehabilitation decisions.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/unisound-med-medication-rehab)
\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)
\n- [Configured medical model API endpoint](https://maas-api.hivoice.cn/v1/chat/completions)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, JSON, guidance]
\n**Output Format:** [JSON by default, plain text answer with --text-only, and NDJSON for batch output]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Includes task, question, answer, model, input mode, and metadata fields; dry-run mode emits parsed input without calling the model.]
\n\n## Skill Version(s):
\n1.0.0 (source: ClawHub 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.
","readmeExcerpt":"Skill: unisound-med-medication-rehab Owner: unisound-llm Summary: 临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:37:09.727Z | user - Default model changed from u1-insuremed to u2-med. - Removed the file: skill-card.md. v1.0.0 | 2026-05-19T09:32:11.912Z | user - Initial release of med-llm-medication-rehab (v1.0.0) for clinical medication consu","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"# 指定任务类型与题干\npython3 scripts/run.py --task mc --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 mc --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 mc --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 mc --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: med-llm-medication-rehab\ndescription: 临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 个性化用药与康复指导\n\n## 概述\n\n围绕用药方案理解与康复执行给出个体化建议框架，不构成正式处方或诊疗决策。\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| `mc` | 临床用药与治疗方案咨询 |\n| `rehab` | 个性化康复指导问答 |\n| `rx-plan` | 个性化用药教育问答 |\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 mc --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 mc --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-medication-rehab\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784183829727\n}"},{"path":"skill-card.md","content":"## Description:\n\nProvides clinical medication consultation, personalized medication education, and rehabilitation guidance Q&A with task-specific prompts.\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\nDevelopers and clinical workflow integrators use this skill to route medication consultation, medication education, or rehabilitation questions to a medical LLM and return structured assistant output. The output is model-assisted information and is not a substitute for formal clinical diagnosis, prescribing, or treatment decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive medical questions and API credentials may be sent to an external or caller-supplied API endpoint.\n\nMitigation: Use only a trusted HTTPS endpoint, avoid overriding --api-url unless the destination is controlled, protect the API key, and de-identify patient details before submission.\n\nRisk: Generated output may be mistaken for clinical diagnosis, prescribing, or treatment decisions.\n\nMitigation: Review responses through qualified clinical workflows and treat outputs as model-assisted information only.\n\nRisk: Files written with --output may contain sensitive medical records or identifiers.\n\nMitigation: Store output files only in approved locations, restrict access, and handle them as sensitive records.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-medication-rehab)\n- [Default medical model API endpoint](https://maas-api.hivoice.cn/v1/chat/completions)\n\n## Skill Output:\n\n**Output Type(s):** [text, json, shell commands, configuration, guidance]\n\n**Output Format:** [JSON by default, plain answer text with --text-only, or NDJSON for batch output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May write UTF-8 JSON or NDJSON files when --output is provided.]\n\n## Skill Version(s):\n\n1.0.2 (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."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-medication-rehab Owner: unisound-llm Summary: 临床用药咨询、个性化用药教育与康复指导问答。通过 --task 切换场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:37:09.727Z | user - Default model changed from u1-insuremed to u2-med. - Removed the file: skill-card.md. v1.0.0 | 2026-05-19T09:32:11.912Z | user - Initial release of med-llm-medication-rehab (v1.0.0) for clinical medication consu","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":903,"uniquenessScore":53,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T21:01:25.193Z","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":"2026-10-11T21:01:25.193Z","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":"2026-10-13T22:13:21.235Z","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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