{"id":"cb19af20-6c9f-4de8-bad9-6998fe46a743","entityType":"agent","slug":"clawhub-unisound-llm-unisound-med-clinical-diagnosis","name":"unisound-med-clinical-diagnosis","canonicalUrl":"https://www.xpersona.co/agent/clawhub-unisound-llm-unisound-med-clinical-diagnosis","canonicalPath":"/agent/clawhub-unisound-llm-unisound-med-clinical-diagnosis","generatedAt":"2026-10-11T22:04:06.467Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T18:41:37.794Z","emptyReason":null},"description":"病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-clinical-diagnosis Owner: unisound-llm Summary: 病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:19:04.233Z | user - Updated default model to u2-med (was u1-insuremed). - Removed the file skill-card.md. v1.0.0 | 2026-05-19T09:29:11.068Z | user - 初始发布，支持临床问诊与诊断推理，包括病例分析、复杂鉴别诊断、基层常见病诊断。 - 提供多种输入方式（命令行参数、JSON/文本文件或标准输入）灵活接入题","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. 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unisound-llm\n\nSummary: 病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 `scripts/run.py`，可独立拷贝部署。\n\nTags: latest:1.0.2\n\nVersion history:\n\nv1.0.2 | 2026-07-16T06:19:04.233Z | user\n\n- Updated default model to u2-med (was u1-insuremed).\n- Removed the file skill-card.md.\n\nv1.0.0 | 2026-05-19T09:29:11.068Z | user\n\n- 初始发布，支持临床问诊与诊断推理，包括病例分析、复杂鉴别诊断、基层常见病诊断。\n- 提供多种输入方式（命令行参数、JSON/文本文件或标准输入）灵活接入题目。\n- 通过 `--task` 切换不同诊断推理场景，也支持完全自定义系统提示词。\n- 与具体业务请求解耦，调用方可自定义用户输入组织方式。\n- 默认接入 u1-insuremed 医疗大模型，API 与模型参数可定制。\n- 输出标准化，便于集成与后续处理，支持合规操作与脱敏流程。\n\nArchive index:\n\nArchive v1.0.2: 4 files, 7928 bytes\n\nFiles: _meta.json (150b), scripts/run.py (13158b), skill-card.md (2308b), SKILL.md (3099b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: med-llm-clinical-diagnosis\ndescription: 病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 临床问诊与诊断推理\n\n## 概述\n\n支持临床问诊与诊断推理类题目，输出诊疗思路须逻辑清晰并标明不确定性。\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| `cmb-clin` | 临床病例分析与诊疗思路 |\n| `ddx` | 复杂病例鉴别诊断 |\n| `diag` | 基层常见病诊断推荐 |\n| `differ` | 基层常见病鉴别诊断 |\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 cmb-clin --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 cmb-clin --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-diagnosis\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182744233\n}\n\nFile v1.0.2:skill-card.md\n\n## Description:\n\nAnalyzes clinical case questions, supports differential diagnosis and primary-care diagnosis scenarios, and switches reasoning modes with --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\nDevelopers and clinical workflow integrators can pass de-identified medical questions to an internal medical LLM to obtain structured diagnostic reasoning or differential diagnosis support. Outputs are model-assisted information and should not be treated as formal clinical decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive clinical questions may be sent to the configured API endpoint and echoed in output.\n\nMitigation: Use only de-identified questions, avoid passing PHI on the command line, and keep outputs out of logs and shared artifacts.\n\nRisk: Overriding --api-url can send bearer credentials and clinical content to an unintended endpoint.\n\nMitigation: Use only trusted HTTPS-protected endpoints with keys intended for that destination.\n\nRisk: Medical model output can be incomplete, uncertain, or unsuitable for direct patient-care decisions.\n\nMitigation: Require qualified clinical review and follow institutional processes before using outputs in real workflows.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-clinical-diagnosis)\n- [Unisound-LLM publisher profile](https://clawhub.ai/user/unisound-llm)\n- [Default model API 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 object by default; optional plain text answer with --text-only; optional NDJSON for batches.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Can write UTF-8 output files; dry-run mode returns parsed input 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, 7827 bytes\n\nFiles: _meta.json (150b), scripts/run.py (13164b), skill-card.md (2210b), SKILL.md (3105b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: med-llm-clinical-diagnosis\ndescription: 病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 临床问诊与诊断推理\n\n## 概述\n\n支持临床问诊与诊断推理类题目，输出诊疗思路须逻辑清晰并标明不确定性。\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| `cmb-clin` | 临床病例分析与诊疗思路 |\n| `ddx` | 复杂病例鉴别诊断 |\n| `diag` | 基层常见病诊断推荐 |\n| `differ` | 基层常见病鉴别诊断 |\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 cmb-clin --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 cmb-clin --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-diagnosis\",\n \"version\": \"1.0.0\",\n \"publishedAt\": 1779182951068\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:
\nSupports clinical case analysis, differential diagnosis, and common primary-care diagnostic reasoning through task-specific prompts.
\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:
\nClinical workflow integrators and developers use this skill to submit de-identified case questions to a configured medical LLM for case analysis, differential diagnosis, and diagnostic reasoning support. It is assistive output and not a substitute for formal clinical judgment.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Clinical prompts, responses, or saved output files may contain sensitive patient information.
\nMitigation: Use only de-identified clinical text unless the organization has approved the configured API endpoint and retention practices; treat saved outputs as sensitive clinical records.
\nRisk: Generated diagnostic reasoning can be incomplete, incorrect, or inappropriate for a specific patient.
\nMitigation: Use the output as assistive information only and require review by qualified clinical personnel before any care decision.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/unisound-med-clinical-diagnosis)
\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, with optional plain text answer output and NDJSON for batches]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May save full JSON or NDJSON to a user-specified output path; requires an app key unless dry-run is used.]
\n\n## Skill Version(s):
\n1.0.0 (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.
","readmeExcerpt":"Skill: unisound-med-clinical-diagnosis Owner: unisound-llm Summary: 病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:19:04.233Z | user - Updated default model to u2-med (was u1-insuremed). - Removed the file skill-card.md. v1.0.0 | 2026-05-19T09:29:11.068Z | user - 初始发布，支持临床问诊与诊断推理，包括病例分析、复杂鉴别诊断、基层常见病诊断。 - 提供多种输入方式（命令行参数、JSON/文本文件或标准输入）灵活接入题","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"# 指定任务类型与题干\npython3 scripts/run.py --task cmb-clin --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 cmb-clin --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 cmb-clin --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 cmb-clin --input /path/to/items.jsonl --index 0 --appkey YOUR_KEY"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: med-llm-clinical-diagnosis\ndescription: 病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 `scripts/run.py`，可独立拷贝部署。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🩺\"\n }\n }\n---\n\n# 临床问诊与诊断推理\n\n## 概述\n\n支持临床问诊与诊断推理类题目，输出诊疗思路须逻辑清晰并标明不确定性。\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| `cmb-clin` | 临床病例分析与诊疗思路 |\n| `ddx` | 复杂病例鉴别诊断 |\n| `diag` | 基层常见病诊断推荐 |\n| `differ` | 基层常见病鉴别诊断 |\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 cmb-clin --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 cmb-clin --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-diagnosis\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182744233\n}"},{"path":"skill-card.md","content":"## Description:\n\nAnalyzes clinical case questions, supports differential diagnosis and primary-care diagnosis scenarios, and switches reasoning modes with --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\nDevelopers and clinical workflow integrators can pass de-identified medical questions to an internal medical LLM to obtain structured diagnostic reasoning or differential diagnosis support. Outputs are model-assisted information and should not be treated as formal clinical decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive clinical questions may be sent to the configured API endpoint and echoed in output.\n\nMitigation: Use only de-identified questions, avoid passing PHI on the command line, and keep outputs out of logs and shared artifacts.\n\nRisk: Overriding --api-url can send bearer credentials and clinical content to an unintended endpoint.\n\nMitigation: Use only trusted HTTPS-protected endpoints with keys intended for that destination.\n\nRisk: Medical model output can be incomplete, uncertain, or unsuitable for direct patient-care decisions.\n\nMitigation: Require qualified clinical review and follow institutional processes before using outputs in real workflows.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-med-clinical-diagnosis)\n- [Unisound-LLM publisher profile](https://clawhub.ai/user/unisound-llm)\n- [Default model API 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 object by default; optional plain text answer with --text-only; optional NDJSON for batches.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Can write UTF-8 output files; dry-run mode returns parsed input 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":"病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 `scripts/run.py`，可独立拷贝部署。 Skill: unisound-med-clinical-diagnosis Owner: unisound-llm Summary: 病例分析、复杂鉴别诊断、基层常见病诊断与鉴别。通过 --task 切换推理场景；仅含 scripts/run.py，可独立拷贝部署。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:19:04.233Z | user - Updated default model to u2-med (was u1-insuremed). - Removed the file skill-card.md. v1.0.0 | 2026-05-19T09:29:11.068Z | user - 初始发布，支持临床问诊与诊断推理，包括病例分析、复杂鉴别诊断、基层常见病诊断。 - 提供多种输入方式（命令行参数、JSON/文本文件或标准输入）灵活接入题","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":800,"uniquenessScore":57,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T18:41:37.794Z","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":"2026-10-11T18:41:37.794Z","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":"2026-10-11T22:04:06.467Z","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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