{"id":"97e1a681-a9b9-49ec-8365-b5c21a98c36d","entityType":"agent","slug":"clawhub-unisound-llm-unisound-chronic-injury","name":"unisound-chronic-injury","canonicalUrl":"https://www.xpersona.co/agent/clawhub-unisound-llm-unisound-chronic-injury","canonicalPath":"/agent/clawhub-unisound-llm-unisound-chronic-injury","generatedAt":"2026-10-11T17:45:59.111Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-11T15:24:43.364Z","emptyReason":null},"description":"理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。 Skill: unisound-chronic-injury Owner: unisound-llm Summary: 理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:07:06.492Z | user - Updated default model from u1-insuremed to u2-med. - Clarified and generalized references to direct medical LLM Q&A scripts in interface descriptions. - Removed file: skill-card.md. v1.0.0 | 2","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. 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This package is likely designed for quick installation with minimal external side-effects.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-11T17:45:59.110Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-unisound-llm-unisound-chronic-injury/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-10-11T15:24:43.364Z","emptyReason":null},"readme":"Skill: unisound-chronic-injury\n\nOwner: unisound-llm\n\nSummary: 理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。\n\nTags: latest:1.0.2\n\nVersion history:\n\nv1.0.2 | 2026-07-16T06:07:06.492Z | user\n\n- Updated default model from `u1-insuremed` to `u2-med`.\n- Clarified and generalized references to direct medical LLM Q&A scripts in interface descriptions.\n- Removed file: `skill-card.md`.\n\nv1.0.0 | 2026-05-18T01:58:49.956Z | user\n\nmed-chronic-injury-review 1.0.0\n\n- Initial release for chronic injury claim review based on medical text reports.\n- Supports classification of injury status (e.g., chronic injury, acute injury, no injury, not mentioned) for specified body parts, with strict adherence to provided formats.\n- Operates via direct integration with internal medical large language model; no PACS connection.\n- Requires pre-anonymized input from caller; does not store user data unless explicitly output.\n- Flexible input via command-line argument, file, or stdin; supports JSON formats.\n- Output includes machine-readable JSON and model-generated classification text.\n\nArchive index:\n\nArchive v1.0.2: 4 files, 7668 bytes\n\nFiles: _meta.json (142b), scripts/run.py (12758b), skill-card.md (2119b), SKILL.md (3026b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: med-chronic-injury-review\ndescription: 理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🦴\"\n }\n }\n---\n\n# 陈旧伤审核\n\n## 概述\n\n面向**理赔材料中的影像/检查报告文字**（可由 OCR 或人工整理），在调用方给定的分类体系下（常见为 **陈旧伤 / 新伤 / 无伤 / 未提及**），对**指定解剖部位**做出伤情类别判断，并按题干要求的**固定行格式**输出。\n\n本 skill **不接院内 PACS**，题干由上游拼装；与慢病/大病审核（走后端业务接口）不同，本包**直连公司内部医疗大模型**，接口与参数约定同医疗大模型直连问答脚本（`--question` / `--input` / `--appkey` 等）。\n\n## 数据与合规\n\n- 送入模型前应对姓名、证件号、影像号等做**脱敏**（由调用方完成）；本脚本不落盘用户内容（除非使用 `--output` 显式保存结果）。\n- 输出为辅助审核意见，**不构成**法医鉴定或最终理赔决定。\n\n## 题目输入（三选一）\n\n1. **`--question`**：完整题干字符串。 \n2. **`--input PATH`**： \n - `.json` / `.jsonl`：根为**对象**，或**仅含 1 个对象的 JSON 数组**；对象须含非空 **`input`** 或 **`question`**。 \n - 其他扩展名：整文件 UTF-8 纯文本作为题干。 \n - 传 `-` 时从 stdin 读。 \n3. **stdin**（未传 `--question` / `--input`、且非 TTY）：规则同 `-`。\n\n可选字段 **`meta`** / **`other`**：任意 JSON 对象，原样进入运行结果中的 `meta`。\n\n## 题干与输出格式（由调用方约定）\n\n典型题干中会包含：\n\n- 影像检查报告摘录（影像描述 / 影像诊断等） \n- 指定检查部位与所见依据 \n- 待选类别列表 \n- 严格输出模板（例如两行：`伤情类别：…` / `判断依据：…`）\n\n模型须**完全遵守**题干中的格式与类别用词；默认系统提示词与上述约束对齐。\n\n## 运行结果（stdout）\n\n默认可解析 JSON：`skill` 为 `陈旧伤审核`，`status` 为 `ok`，`answer` 为模型文本，`question` 为本次用户消息全文，`meta` 等为透传/溯源字段（含义同 `doctor/icd-drg/drg-grouping` 等脚本）。\n\n## 用法示例\n\n```bash\npython3 scripts/run.py --input case.json --appkey YOUR_KEY\npython3 scripts/run.py --input case.json --text-only --appkey YOUR_KEY\n```\n\n## 参数\n\n- `--question` / `--input`：与 stdin 三选一（二者不可同时）。 \n- `--appkey STRING`：**必填**（`--dry-run` 除外）。 \n- `--index`、`--match-id`、`--batch`：仅 `.jsonl`。 \n- `--dry-run`、`--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`、`--output`、`--text-only`：同仓库内其他直连大模型脚本。\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-chronic-injury\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182026492\n}\n\nFile v1.0.2:skill-card.md\n\n## Description:\n\nReviews insurance claim imaging or examination report text for a specified anatomical site and classifies the finding under the caller's injury categories.\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 use this skill to submit de-identified imaging or examination report text and receive a structured auxiliary classification for chronic injury review. The result supports insurance review workflows and is not a forensic opinion or final claim decision.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive claim text or credentials could be sent to an unintended API endpoint.\n\nMitigation: Use only a trusted HTTPS API endpoint and protect and scope the appkey.\n\nRisk: Claim materials may contain personal or medical identifiers.\n\nMitigation: De-identify claim materials before use.\n\nRisk: Using output persistence can store the question, metadata, and model answer on disk.\n\nMitigation: Avoid --output unless disk storage of those contents is acceptable.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-chronic-injury)\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)\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, 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 skill name, status, selected model, input provenance fields, optional metadata, the original question, and the model answer.]\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, 7858 bytes\n\nFiles: _meta.json (142b), scripts/run.py (12764b), skill-card.md (2704b), SKILL.md (2979b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: med-chronic-injury-review\ndescription: 理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🦴\"\n }\n }\n---\n\n# 陈旧伤审核\n\n## 概述\n\n面向**理赔材料中的影像/检查报告文字**（可由 OCR 或人工整理），在调用方给定的分类体系下（常见为 **陈旧伤 / 新伤 / 无伤 / 未提及**），对**指定解剖部位**做出伤情类别判断，并按题干要求的**固定行格式**输出。\n\n本 skill **不接院内 PACS**，题干由上游拼装；与慢病/大病审核（走后端业务接口）不同，本包**直连公司内部医疗大模型**，接口与参数约定同 `medbench` 类评测脚本。\n\n## 数据与合规\n\n- 送入模型前应对姓名、证件号、影像号等做**脱敏**（由调用方完成）；本脚本不落盘用户内容（除非使用 `--output` 显式保存结果）。\n- 输出为辅助审核意见，**不构成**法医鉴定或最终理赔决定。\n\n## 题目输入（三选一）\n\n1. **`--question`**：完整题干字符串。 \n2. **`--input PATH`**： \n - `.json` / `.jsonl`：根为**对象**，或**仅含 1 个对象的 JSON 数组**；对象须含非空 **`input`** 或 **`question`**。 \n - 其他扩展名：整文件 UTF-8 纯文本作为题干。 \n - 传 `-` 时从 stdin 读。 \n3. **stdin**（未传 `--question` / `--input`、且非 TTY）：规则同 `-`。\n\n可选字段 **`meta`** / **`other`**：任意 JSON 对象，原样进入运行结果中的 `meta`。\n\n## 题干与输出格式（由调用方约定）\n\n典型题干中会包含：\n\n- 影像检查报告摘录（影像描述 / 影像诊断等） \n- 指定检查部位与所见依据 \n- 待选类别列表 \n- 严格输出模板（例如两行：`伤情类别：…` / `判断依据：…`）\n\n模型须**完全遵守**题干中的格式与类别用词；默认系统提示词与上述约束对齐。\n\n## 运行结果（stdout）\n\n默认可解析 JSON：`skill` 为 `陈旧伤审核`，`status` 为 `ok`，`answer` 为模型文本，`question` 为本次用户消息全文，`meta` 等为透传/溯源字段（含义同 `doctor/icd-drg/drg-grouping` 等脚本）。\n\n## 用法示例\n\n```bash\npython3 scripts/run.py --input case.json --appkey YOUR_KEY\npython3 scripts/run.py --input case.json --text-only --appkey YOUR_KEY\n```\n\n## 参数\n\n- `--question` / `--input`：与 stdin 三选一（二者不可同时）。 \n- `--appkey STRING`：**必填**（`--dry-run` 除外）。 \n- `--index`、`--match-id`、`--batch`：仅 `.jsonl`。 \n- `--dry-run`、`--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`、`--output`、`--text-only`：同仓库内其他直连大模型脚本。\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-chronic-injury\",\n \"version\": \"1.0.0\",\n \"publishedAt\": 1779069529956\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:
\nReviews insurance-claim imaging or examination report text for a specified body part and asks an internal medical model to classify the injury status using the caller's required categories and output format.
\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:
\nInsurance claim reviewers and workflow agents use this skill to classify whether a specified body part shows chronic injury, acute injury, no injury, or no mention based on supplied medical report text. It is intended as an auxiliary review aid, not a forensic determination or final claim decision.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: User-provided medical report text is sent to the configured hivoice.cn/internal medical model endpoint.
\nMitigation: Use the skill only when the publisher and endpoint are trusted and organizational policy permits the processing.
\nRisk: Inputs may contain names, ID numbers, imaging numbers, or other protected medical details.
\nMitigation: Redact sensitive identifiers before execution; the artifact states redaction is the caller's responsibility.
\nRisk: The output is an auxiliary medical-claims classification and may be mistaken for a final claims or forensic decision.
\nMitigation: Require qualified human review before using the result in claim decisions.
\nRisk: Using --output writes results locally.
\nMitigation: Use --output only when a local result file is intentionally required and handled under the appropriate data controls.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/unisound-chronic-injury)
\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, json, files]
\n**Output Format:** [JSON result by default, plain model answer text with --text-only, or UTF-8 JSON/NDJSON file when --output is used.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Includes skill name, status, record index, metadata passthrough, input question, model name, input mode, optional input path, and the model-generated answer.]
\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-chronic-injury Owner: unisound-llm Summary: 理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:07:06.492Z | user - Updated default model from u1-insuremed to u2-med. - Clarified and generalized references to direct medical LLM Q&A scripts in interface descriptions. - Removed file: skill-card.md. v1.0.0 | 2","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"python3 scripts/run.py --input case.json --appkey YOUR_KEY\npython3 scripts/run.py --input case.json --text-only --appkey YOUR_KEY"},{"language":"bash","snippet":"python3 scripts/run.py --input case.json --appkey YOUR_KEY\npython3 scripts/run.py --input case.json --text-only --appkey YOUR_KEY"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: med-chronic-injury-review\ndescription: 理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。\nmetadata:\n {\n \"openclaw\":\n {\n \"emoji\": \"🦴\"\n }\n }\n---\n\n# 陈旧伤审核\n\n## 概述\n\n面向**理赔材料中的影像/检查报告文字**（可由 OCR 或人工整理），在调用方给定的分类体系下（常见为 **陈旧伤 / 新伤 / 无伤 / 未提及**），对**指定解剖部位**做出伤情类别判断，并按题干要求的**固定行格式**输出。\n\n本 skill **不接院内 PACS**，题干由上游拼装；与慢病/大病审核（走后端业务接口）不同，本包**直连公司内部医疗大模型**，接口与参数约定同医疗大模型直连问答脚本（`--question` / `--input` / `--appkey` 等）。\n\n## 数据与合规\n\n- 送入模型前应对姓名、证件号、影像号等做**脱敏**（由调用方完成）；本脚本不落盘用户内容（除非使用 `--output` 显式保存结果）。\n- 输出为辅助审核意见，**不构成**法医鉴定或最终理赔决定。\n\n## 题目输入（三选一）\n\n1. **`--question`**：完整题干字符串。 \n2. **`--input PATH`**： \n - `.json` / `.jsonl`：根为**对象**，或**仅含 1 个对象的 JSON 数组**；对象须含非空 **`input`** 或 **`question`**。 \n - 其他扩展名：整文件 UTF-8 纯文本作为题干。 \n - 传 `-` 时从 stdin 读。 \n3. **stdin**（未传 `--question` / `--input`、且非 TTY）：规则同 `-`。\n\n可选字段 **`meta`** / **`other`**：任意 JSON 对象，原样进入运行结果中的 `meta`。\n\n## 题干与输出格式（由调用方约定）\n\n典型题干中会包含：\n\n- 影像检查报告摘录（影像描述 / 影像诊断等） \n- 指定检查部位与所见依据 \n- 待选类别列表 \n- 严格输出模板（例如两行：`伤情类别：…` / `判断依据：…`）\n\n模型须**完全遵守**题干中的格式与类别用词；默认系统提示词与上述约束对齐。\n\n## 运行结果（stdout）\n\n默认可解析 JSON：`skill` 为 `陈旧伤审核`，`status` 为 `ok`，`answer` 为模型文本，`question` 为本次用户消息全文，`meta` 等为透传/溯源字段（含义同 `doctor/icd-drg/drg-grouping` 等脚本）。\n\n## 用法示例\n\n```bash\npython3 scripts/run.py --input case.json --appkey YOUR_KEY\npython3 scripts/run.py --input case.json --text-only --appkey YOUR_KEY\n```\n\n## 参数\n\n- `--question` / `--input`：与 stdin 三选一（二者不可同时）。 \n- `--appkey STRING`：**必填**（`--dry-run` 除外）。 \n- `--index`、`--match-id`、`--batch`：仅 `.jsonl`。 \n- `--dry-run`、`--model`、`--api-url`、`--temperature`、`--timeout`、`--system-prompt`、`--output`、`--text-only`：同仓库内其他直连大模型脚本。\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-chronic-injury\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1784182026492\n}"},{"path":"skill-card.md","content":"## Description:\n\nReviews insurance claim imaging or examination report text for a specified anatomical site and classifies the finding under the caller's injury categories.\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 use this skill to submit de-identified imaging or examination report text and receive a structured auxiliary classification for chronic injury review. The result supports insurance review workflows and is not a forensic opinion or final claim decision.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive claim text or credentials could be sent to an unintended API endpoint.\n\nMitigation: Use only a trusted HTTPS API endpoint and protect and scope the appkey.\n\nRisk: Claim materials may contain personal or medical identifiers.\n\nMitigation: De-identify claim materials before use.\n\nRisk: Using output persistence can store the question, metadata, and model answer on disk.\n\nMitigation: Avoid --output unless disk storage of those contents is acceptable.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/unisound-llm/skills/unisound-chronic-injury)\n- [Publisher profile](https://clawhub.ai/user/unisound-llm)\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, 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 skill name, status, selected model, input provenance fields, optional metadata, the original question, and the model answer.]\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":"理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。 Skill: unisound-chronic-injury Owner: unisound-llm Summary: 理赔陈旧伤审核。由调用方传入完整题干（常见为影像报告 + 指定部位 + 输出格式），经内部医疗大模型判断伤情类别；仅含 scripts/run.py，无 _shared 依赖。 Tags: latest:1.0.2 Version history: v1.0.2 | 2026-07-16T06:07:06.492Z | user - Updated default model from u1-insuremed to u2-med. - Clarified and generalized references to direct medical LLM Q&A scripts in interface descriptions. - Removed file: skill-card.md. v1.0.0 | 2","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":835,"uniquenessScore":58,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-11T15:24:43.364Z","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":"2026-10-11T15:24:43.364Z","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":"2026-10-11T17:45:59.111Z","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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