{"id":"0e055c66-1349-4567-b9e4-2495b38879d7","entityType":"agent","slug":"clawhub-unisound-llm-unisound-med-clinical-decision","name":"unisound-med-clinical-decision","canonicalUrl":"https://www.xpersona.co/agent/clawhub-unisound-llm-unisound-med-clinical-decision","canonicalPath":"/agent/clawhub-unisound-llm-unisound-med-clinical-decision","generatedAt":"2026-10-13T18:43:39.077Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T22:46:09.914Z","emptyReason":null},"description":"专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-clinical-decision Owner: unisound-llm Summary: 专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:09:37.039Z | user - 默认模型从 u1-insuremed 更新为 u2-med。 - 移除 skill-card.md 文件。 - 其他功能和调用方式保持不变。 v1.0.0 | 2026-05-19T09:28:27.227Z | user - Initial release of the med-llm-clinical-decision skill for clinical decision support and","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. 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supports overriding model/api settings.\n- Outputs structured JSON results with detailed task, input, and model information.\n- Emphasizes compliance: model output is for clinical assistance and not formal diagnosis; requires data de-identification.\n\nArchive index:\n\nArchive v1.0.2: 4 files, 8150 bytes\n\nFiles: _meta.json (149b), scripts/run.py (13388b), skill-card.md (2460b), SKILL.md (3191b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: med-llm-clinical-decision\ndescription: 专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 临床决策与健康管理\n\n## 概述\n\n面向临床决策与健康管理类问题，给出结构化建议并强调需结合实际情况。\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| `analysis` | 病情分析与量表计算问答 |\n| `care` | 基层诊疗处置建议 |\n| `outcome` | 治疗效果与结局分析 |\n| `phm` | 慢病个性化健康管理 |\n| `primary` | 基层全科诊疗辅助 |\n| `treat` | 专病诊疗方案制定 |\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 analysis --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 analysis --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-clinical-decision\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182177039\n}\n\nFile v1.0.2:skill-card.md\n\n## Description:\n\nProvides structured medical model assistance for specialty diagnosis and treatment, primary care handling, general practice support, outcomes analysis, condition analysis, and chronic disease management selected by --task.\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 integrators and clinical application developers use this skill to pass clinical questions into a medical LLM workflow for structured assistance across condition analysis, primary care, treatment planning, outcomes review, and chronic disease management. Outputs are auxiliary information and are not formal medical decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Clinical questions and bearer API keys can be sent to any configured API endpoint.\n\nMitigation: Pin --api-url to the intended trusted HTTPS endpoint, use endpoint-specific keys, and control who can invoke the script.\n\nRisk: Clinical prompts may include identifiable patient information.\n\nMitigation: Do not send identifiable patient information unless the organization has approved the data flow, retention policy, and required de-identification process.\n\nRisk: Model output may be mistaken for a formal diagnosis or treatment decision.\n\nMitigation: Treat answers as auxiliary information and require review through the applicable clinical workflow before use.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-clinical-decision)\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)\n- [Default OpenAI-compatible model endpoint](https://maas-api.hivoice.cn/v1/chat/completions)\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Guidance]\n\n**Output Format:** [JSON by default, optional plain text answer with --text-only, and NDJSON for batched input]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May write complete JSON or NDJSON results to --output; dry-run mode emits parsed input metadata without calling the model.]\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, 8070 bytes\n\nFiles: _meta.json (149b), scripts/run.py (13394b), skill-card.md (2298b), SKILL.md (3197b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: med-llm-clinical-decision\ndescription: 专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 临床决策与健康管理\n\n## 概述\n\n面向临床决策与健康管理类问题，给出结构化建议并强调需结合实际情况。\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| `analysis` | 病情分析与量表计算问答 |\n| `care` | 基层诊疗处置建议 |\n| `outcome` | 治疗效果与结局分析 |\n| `phm` | 慢病个性化健康管理 |\n| `primary` | 基层全科诊疗辅助 |\n| `treat` | 专病诊疗方案制定 |\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 analysis --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 analysis --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-clinical-decision\",\n \"version\": \"1.0.0\",\n \"publishedAt\": 1779182907227\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:
\nSupports clinical decision and health management tasks including specialty treatment planning, primary care handling, general practice assistance, outcome analysis, condition review, and chronic disease management.
\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:
\nExternal developers and clinical workflow integrators use this skill to send medical questions to a configured medical language model and receive structured clinical assistance across selectable task modes. Outputs are intended to support review and workflow assistance, not to replace formal diagnosis or care decisions.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Medical questions may be sent to a remote API without a documented consent, redaction, or minimization step.
\nMitigation: Use only de-identified inputs unless the publisher documents the processor, retention policy, consent flow, and privacy safeguards.
\nRisk: Model output could be mistaken for a formal diagnosis or care decision.
\nMitigation: Require qualified clinical review and keep the output as assistance rather than authoritative medical advice.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/unisound-med-clinical-decision)
\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, JSON, shell commands, configuration, guidance]
\n**Output Format:** [JSON by default, optional plain text answer, and NDJSON for batch output]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Includes task metadata, input provenance fields, model identifier, and the model answer; dry-run mode emits parsed input without calling the model.]
\n\n## Skill Version(s):
\n1.0.0 (source: server release metadata)
\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-clinical-decision Owner: unisound-llm Summary: 专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:09:37.039Z | user - 默认模型从 u1-insuremed 更新为 u2-med。 - 移除 skill-card.md 文件。 - 其他功能和调用方式保持不变。 v1.0.0 | 2026-05-19T09:28:27.227Z | user - Initial release of the med-llm-clinical-decision skill for clinical decision support and","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"# 指定任务类型与题干\npython3 scripts/run.py --task analysis --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 analysis --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 analysis --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 analysis --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: med-llm-clinical-decision\ndescription: 专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 临床决策与健康管理\n\n## 概述\n\n面向临床决策与健康管理类问题，给出结构化建议并强调需结合实际情况。\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| `analysis` | 病情分析与量表计算问答 |\n| `care` | 基层诊疗处置建议 |\n| `outcome` | 治疗效果与结局分析 |\n| `phm` | 慢病个性化健康管理 |\n| `primary` | 基层全科诊疗辅助 |\n| `treat` | 专病诊疗方案制定 |\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 analysis --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 analysis --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-clinical-decision\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182177039\n}"},{"path":"skill-card.md","content":"## Description:\n\nProvides structured medical model assistance for specialty diagnosis and treatment, primary care handling, general practice support, outcomes analysis, condition analysis, and chronic disease management selected by --task.\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 integrators and clinical application developers use this skill to pass clinical questions into a medical LLM workflow for structured assistance across condition analysis, primary care, treatment planning, outcomes review, and chronic disease management. Outputs are auxiliary information and are not formal medical decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Clinical questions and bearer API keys can be sent to any configured API endpoint.\n\nMitigation: Pin --api-url to the intended trusted HTTPS endpoint, use endpoint-specific keys, and control who can invoke the script.\n\nRisk: Clinical prompts may include identifiable patient information.\n\nMitigation: Do not send identifiable patient information unless the organization has approved the data flow, retention policy, and required de-identification process.\n\nRisk: Model output may be mistaken for a formal diagnosis or treatment decision.\n\nMitigation: Treat answers as auxiliary information and require review through the applicable clinical workflow before use.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-clinical-decision)\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)\n- [Default OpenAI-compatible model endpoint](https://maas-api.hivoice.cn/v1/chat/completions)\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Guidance]\n\n**Output Format:** [JSON by default, optional plain text answer with --text-only, and NDJSON for batched input]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May write complete JSON or NDJSON results to --output; dry-run mode emits parsed input metadata without calling the model.]\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":"专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-clinical-decision Owner: unisound-llm Summary: 专病诊疗、基层处置、全科辅助、结局分析、病情分析与慢病管理。通过 --task 选择场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:09:37.039Z | user - 默认模型从 u1-insuremed 更新为 u2-med。 - 移除 skill-card.md 文件。 - 其他功能和调用方式保持不变。 v1.0.0 | 2026-05-19T09:28:27.227Z | user - Initial release of the med-llm-clinical-decision skill for clinical decision support and","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":903,"uniquenessScore":53,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T22:46:09.914Z","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":"2026-10-11T22:46:09.914Z","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":"2026-10-13T18:43:39.077Z","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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