{"id":"5d737c4b-6b40-4933-afd8-85566839914c","entityType":"agent","slug":"clawhub-unisound-llm-unisound-pre-existing-review","name":"unisound-pre-existing-review","canonicalUrl":"https://www.xpersona.co/agent/clawhub-unisound-llm-unisound-pre-existing-review","canonicalPath":"/agent/clawhub-unisound-llm-unisound-pre-existing-review","generatedAt":"2026-10-14T12:22:47.324Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T20:51:33.726Z","emptyReason":null},"description":"理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。 Skill: unisound-pre-existing-review Owner: unisound-llm Summary: 理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:08:46.047Z | user - Removed the file skill-card.md. - Updated default model from u1-insuremed to u2-med in documentation. v1.0.0 | 2026-05-18T02:04:46.203Z | user - Initial release of med-pre-existi","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 994 downloads reported by the source. 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processes medical records and output per specified format.\n- Directly connects to internal medical LLM for diagnosis relationship and reimbursement judgement.\n- No reliance on _shared; includes only scripts/run.py.\n- Outputs are for auxiliary review, not legally binding or final claims decisions.\n- Follows input/output conventions similar to insurance/claims-review/chronic-injury.\n\nArchive index:\n\nArchive v1.0.2: 4 files, 7511 bytes\n\nFiles: _meta.json (147b), scripts/run.py (13045b), skill-card.md (2355b), SKILL.md (2283b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: med-pre-existing-review\ndescription: 理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"📋\"\n }\n }\n---\n\n# 既往症审核\n\n## 概述\n\n面向理赔材料中的**病历叙述或 OCR 文书**，在调用方给定的分类下，判断**其他诊断与主诊断的关系**（常见为 **并发症 / 疑似既往症 / 无关疾病**）并给出**是否报销**（**报销 / 不报销**），按题干规定的**固定行格式**输出。\n\n本 skill **直连公司内部医疗大模型**，输入输出约定与 `insurance/claims-review/chronic-injury` 等脚本一致；不替代承保条款与人工核赔结论。\n\n## 数据与合规\n\n- 姓名、证件号、账户等须在调用方侧**脱敏**后再组题干；本脚本默认不落盘输入（除非 `--output`）。\n- 输出为辅助审核意见，**不构成**法律或最终理赔决定。\n\n## 题目输入（三选一）\n\n1. **`--question`**：完整题干。 \n2. **`--input PATH`**：`.json` / `.jsonl` 为对象或**单元素对象数组**；须含 **`input`** 或 **`question`**。纯文本文件则整段作为题干。`-` 表示 stdin。 \n3. **stdin**：非 TTY 时同 `-`。\n\n可选 **`meta`** / **`other`**：透传至结果 JSON 的 `meta` 字段。\n\n## 典型题干结构（由调用方拼装）\n\n- 病历或材料摘录（可含 OCR 噪声） \n- 关系类型与是否报销的**枚举说明** \n- 严格输出模板（三行：`关系类型：` / `是否报销：` / `判断依据：`）\n\n## 运行结果\n\n默认可解析 JSON：`skill` 为 `既往症审核`，`status` 为 `ok`，`answer` 为模型文本，`question` 为本次用户消息全文。\n\n## 用法\n\n```bash\npython3 scripts/run.py --input case.json --appkey YOUR_KEY\n```\n\n## 参数\n\n与 `chronic-injury` 相同：`--question`、`--input`、`--appkey`、`--dry-run`、`--index`、`--match-id`、`--batch`、`--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`、`--output`、`--text-only`。\n\n## 模型\n\n默认 `u2-med`，`https://maas-api.hivoice.cn/v1/chat/completions`。\n\nFile v1.0.2:_meta.json\n\n{\n \"ownerId\": \"kn7ft98qwhxyrgcy7b7rzdhrrd8366k6\",\n \"slug\": \"unisound-pre-existing-review\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182126047\n}\n\nFile v1.0.2:skill-card.md\n\n## Description:\n\nReviews medical claim materials to classify the relationship between other diagnoses and the primary diagnosis, then returns a reimbursement recommendation in the requested fixed-line format.\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\nClaims reviewers and developers use this skill to send de-identified medical claim text to an internal medical model and receive an auxiliary pre-existing-condition relationship assessment and reimbursement recommendation. The output does not replace policy terms or final human claims decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive claim text and a bearer API key can be sent to a user-configurable network endpoint.\n\nMitigation: Use the documented internal HTTPS API endpoint, avoid overriding the API URL in production, provide a narrowly scoped key, and de-identify claim materials before submission.\n\nRisk: Outputs may contain sensitive medical or claims information.\n\nMitigation: Treat stdout and output files as sensitive claims data and apply the same storage, access-control, and retention rules used for source claim materials.\n\nRisk: The model response is an auxiliary review opinion rather than a final benefits determination.\n\nMitigation: Require human claims review against policy terms before making legal, coverage, or payment decisions.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-pre-existing-review)\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)\n\n## Skill Output:\n\n**Output Type(s):** [text, json, guidance]\n\n**Output Format:** [JSON by default, or plain text when text-only output is requested]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Returns the model answer, original question, model name, input mode, record index, and optional metadata; batch input can produce NDJSON.]\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, 7723 bytes\n\nFiles: _meta.json (147b), scripts/run.py (13051b), skill-card.md (2516b), SKILL.md (2289b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: med-pre-existing-review\ndescription: 理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"📋\"\n }\n }\n---\n\n# 既往症审核\n\n## 概述\n\n面向理赔材料中的**病历叙述或 OCR 文书**，在调用方给定的分类下，判断**其他诊断与主诊断的关系**（常见为 **并发症 / 疑似既往症 / 无关疾病**）并给出**是否报销**（**报销 / 不报销**），按题干规定的**固定行格式**输出。\n\n本 skill **直连公司内部医疗大模型**，输入输出约定与 `insurance/claims-review/chronic-injury` 等脚本一致；不替代承保条款与人工核赔结论。\n\n## 数据与合规\n\n- 姓名、证件号、账户等须在调用方侧**脱敏**后再组题干；本脚本默认不落盘输入（除非 `--output`）。\n- 输出为辅助审核意见，**不构成**法律或最终理赔决定。\n\n## 题目输入（三选一）\n\n1. **`--question`**：完整题干。 \n2. **`--input PATH`**：`.json` / `.jsonl` 为对象或**单元素对象数组**；须含 **`input`** 或 **`question`**。纯文本文件则整段作为题干。`-` 表示 stdin。 \n3. **stdin**：非 TTY 时同 `-`。\n\n可选 **`meta`** / **`other`**：透传至结果 JSON 的 `meta` 字段。\n\n## 典型题干结构（由调用方拼装）\n\n- 病历或材料摘录（可含 OCR 噪声） \n- 关系类型与是否报销的**枚举说明** \n- 严格输出模板（三行：`关系类型：` / `是否报销：` / `判断依据：`）\n\n## 运行结果\n\n默认可解析 JSON：`skill` 为 `既往症审核`，`status` 为 `ok`，`answer` 为模型文本，`question` 为本次用户消息全文。\n\n## 用法\n\n```bash\npython3 scripts/run.py --input case.json --appkey YOUR_KEY\n```\n\n## 参数\n\n与 `chronic-injury` 相同：`--question`、`--input`、`--appkey`、`--dry-run`、`--index`、`--match-id`、`--batch`、`--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`、`--output`、`--text-only`。\n\n## 模型\n\n默认 `u1-insuremed`，`https://maas-api.hivoice.cn/v1/chat/completions`。\n\nFile v1.0.0:_meta.json\n\n{\n \"ownerId\": \"kn7ft98qwhxyrgcy7b7rzdhrrd8366k6\",\n \"slug\": \"unisound-pre-existing-review\",\n \"version\": \"1.0.0\",\n \"publishedAt\": 1779069886203\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:
\n理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。
\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:
\nClaims reviewers and insurance workflow developers use this skill to review medical claim text or OCR excerpts for the relationship between other diagnoses and the primary diagnosis, then produce an auxiliary reimbursement judgment in the requested format.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: User-provided medical claim text is sent to a configured medical LLM endpoint.
\nMitigation: Use only with organizational approval for the endpoint and app key, and redact names, IDs, account numbers, and unnecessary patient details before processing.
\nRisk: The optional --output flag can write claim review results to disk.
\nMitigation: Use --dry-run to inspect parsed input first, and use --output only when stored UTF-8 JSON or NDJSON results are intended and protected.
\nRisk: The model output is an auxiliary claims review judgment, not a legal or final reimbursement decision.
\nMitigation: Route outputs through the applicable policy, claims, and human review process before making final reimbursement decisions.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/unisound-pre-existing-review)
\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, JSON, guidance]
\n**Output Format:** [JSON object by default, plain text with --text-only, or NDJSON for batch output]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May include the original question, model name, input metadata, record index, and model answer; --output writes UTF-8 JSON or NDJSON to disk.]
\n\n## Skill Version(s):
\n1.0.0 (source: server release evidence and artifact _meta.json)
\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-pre-existing-review Owner: unisound-llm Summary: 理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:08:46.047Z | user - Removed the file skill-card.md. - Updated default model from u1-insuremed to u2-med in documentation. v1.0.0 | 2026-05-18T02:04:46.203Z | user - Initial release of med-pre-existi","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"python3 scripts/run.py --input case.json --appkey YOUR_KEY"},{"language":"bash","snippet":"python3 scripts/run.py --input case.json --appkey YOUR_KEY"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: med-pre-existing-review\ndescription: 理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"📋\"\n }\n }\n---\n\n# 既往症审核\n\n## 概述\n\n面向理赔材料中的**病历叙述或 OCR 文书**，在调用方给定的分类下，判断**其他诊断与主诊断的关系**（常见为 **并发症 / 疑似既往症 / 无关疾病**）并给出**是否报销**（**报销 / 不报销**），按题干规定的**固定行格式**输出。\n\n本 skill **直连公司内部医疗大模型**，输入输出约定与 `insurance/claims-review/chronic-injury` 等脚本一致；不替代承保条款与人工核赔结论。\n\n## 数据与合规\n\n- 姓名、证件号、账户等须在调用方侧**脱敏**后再组题干；本脚本默认不落盘输入（除非 `--output`）。\n- 输出为辅助审核意见，**不构成**法律或最终理赔决定。\n\n## 题目输入（三选一）\n\n1. **`--question`**：完整题干。 \n2. **`--input PATH`**：`.json` / `.jsonl` 为对象或**单元素对象数组**；须含 **`input`** 或 **`question`**。纯文本文件则整段作为题干。`-` 表示 stdin。 \n3. **stdin**：非 TTY 时同 `-`。\n\n可选 **`meta`** / **`other`**：透传至结果 JSON 的 `meta` 字段。\n\n## 典型题干结构（由调用方拼装）\n\n- 病历或材料摘录（可含 OCR 噪声） \n- 关系类型与是否报销的**枚举说明** \n- 严格输出模板（三行：`关系类型：` / `是否报销：` / `判断依据：`）\n\n## 运行结果\n\n默认可解析 JSON：`skill` 为 `既往症审核`，`status` 为 `ok`，`answer` 为模型文本，`question` 为本次用户消息全文。\n\n## 用法\n\n```bash\npython3 scripts/run.py --input case.json --appkey YOUR_KEY\n```\n\n## 参数\n\n与 `chronic-injury` 相同：`--question`、`--input`、`--appkey`、`--dry-run`、`--index`、`--match-id`、`--batch`、`--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`、`--output`、`--text-only`。\n\n## 模型\n\n默认 `u2-med`，`https://maas-api.hivoice.cn/v1/chat/completions`。"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7ft98qwhxyrgcy7b7rzdhrrd8366k6\",\n \"slug\": \"unisound-pre-existing-review\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182126047\n}"},{"path":"skill-card.md","content":"## Description:\n\nReviews medical claim materials to classify the relationship between other diagnoses and the primary diagnosis, then returns a reimbursement recommendation in the requested fixed-line format.\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\nClaims reviewers and developers use this skill to send de-identified medical claim text to an internal medical model and receive an auxiliary pre-existing-condition relationship assessment and reimbursement recommendation. The output does not replace policy terms or final human claims decisions.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive claim text and a bearer API key can be sent to a user-configurable network endpoint.\n\nMitigation: Use the documented internal HTTPS API endpoint, avoid overriding the API URL in production, provide a narrowly scoped key, and de-identify claim materials before submission.\n\nRisk: Outputs may contain sensitive medical or claims information.\n\nMitigation: Treat stdout and output files as sensitive claims data and apply the same storage, access-control, and retention rules used for source claim materials.\n\nRisk: The model response is an auxiliary review opinion rather than a final benefits determination.\n\nMitigation: Require human claims review against policy terms before making legal, coverage, or payment decisions.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-pre-existing-review)\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)\n\n## Skill Output:\n\n**Output Type(s):** [text, json, guidance]\n\n**Output Format:** [JSON by default, or plain text when text-only output is requested]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Returns the model answer, original question, model name, input mode, record index, and optional metadata; batch input can produce NDJSON.]\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":"理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。 Skill: unisound-pre-existing-review Owner: unisound-llm Summary: 理赔既往症审核。由调用方传入完整题干（病历/材料 + 关系类型与报销结论格式），经内部医疗大模型判断其他诊断与主诊断关系及是否报销；仅含 scripts/run.py，无 _shared 依赖。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:08:46.047Z | user - Removed the file skill-card.md. - Updated default model from u1-insuremed to u2-med in documentation. v1.0.0 | 2026-05-18T02:04:46.203Z | user - Initial release of med-pre-existi","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":859,"uniquenessScore":55,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T20:51:33.726Z","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":"2026-10-11T20:51:33.726Z","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":"2026-10-14T12:22:47.324Z","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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