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Agent Skill · 研究检索

caremax-ocr(caremax OCR 搜索)

caremax-ocr 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

caremax-ocr 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 31,256。

总安装 2,739周安装 113GitHub Stars 公开资料未说明下载 895核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:caremax-ocr(caremax OCR 搜索)
来源仓库:https://github.com/kittenyang/caremax-ocr
安装命令:
openclaw skills install caremax-ocr
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install caremax-ocr

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

caremax-ocr 上传医疗报告并通过 OCR 提取文本内容进行分析。适用于快速解析纸质或图片格式化验单、处方笺等文档。通过 clawhub 安装,集成于 OpenClaw,必须在上传后立即执行 OCR。使用前需确保图像清晰且不含敏感水印或遮挡信息。建议人工复核 OCR 结果准确性,尤其涉及数值与医学术语时。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install caremax-ocr;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

caremax-ocr 怎么安装?

在终端执行 openclaw skills install caremax-ocr。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

caremax-ocr 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

caremax-ocr 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install caremax-ocr 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

caremax-ocr 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

caremax-ocr 用的人多吗?

公开数据是累计安装 2,739 次,近一周安装 113 次,下载 895 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

caremax-ocr 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
caremax-ocr

caremax OCR 搜索 · 本页

2,739—执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
caremax-ocr
description
Upload medical reports and run OCR recognition via CareMax Health API. After upload succeeds, agents MUST immediately run OCR on the same session unless the user explicitly asked for upload-only. Session-based: upload creates a session, OCR processes all files, confirm saves all reports atomically. Resumes incomplete sessions. Trigger terms: upload report, scan report, OCR, recognize report, extract indicators, health report image, check-up photo, upload, scan, extract, resume upload, continue upload, pending session, unfinished upload, 继续上传, 未完成.
license
MIT

CareMax Upload & OCR

Requires caremax-auth as a sibling directory (../caremax-auth/). If missing, tell the user to install caremax-auth first (e.g. npx skills add KittenYang/caremax-skills).

Upload medical report files (PDF, JPG, PNG, HEIC) and extract structured data via AI-powered OCR.

Session-based workflow: upload → OCR → review → confirm. All operations are on a single session.

Checkpoint & resume: Every pipeline step saves progress to the database. If OCR fails mid-way (LLM timeout, worker crash, network error), retrying automatically resumes from the last checkpoint — no work is lost.

Agent default behavior (MANDATORY)

  1. Upload and OCR are one continuous workflow. When the user uploads report files (or asks you to upload/扫描/识别体检报告等), after $UPLOAD returns successfully you must in the same turn run $OCRSTREAM <session_id> using the returned session_id. Do not end the task after upload.sh alone.
  2. Upload-only exception: Skip immediate OCR only if the user explicitly asked to upload without recognition (e.g. 只上传、不要识别、别跑 OCR、只存文件). If unclear, default to running OCR after upload.
  3. Progress: Stream each SSE line to the user as it arrives (normalize / ocr / structure / …).
  4. After step=done: Always continue to Step 3 (review). Do not auto-call confirm — wait for user approval before Step 4.

Prerequisites — Auto-Auth (MANDATORY)

APICALL="bash ../caremax-auth/scripts/api-call.sh"
UPLOAD="bash ../caremax-auth/scripts/upload.sh"
OCRSTREAM="bash ../caremax-auth/scripts/ocr-stream.sh"

If any script returns no_credentials → run bash ../caremax-auth/scripts/auth-flow.sh [base_url] (from this skill’s root, sibling of caremax-auth/).

Step 1: Upload (creates session)

$UPLOAD /path/to/report1.jpg /path/to/report2.jpg /path/to/report.pdf

Returns:

{
  "session_id": "uuid-xxx",
  "member_id": "uuid-yyy",
  "files": [
    { "id": "file-1", "original_name": "report1.jpg" },
    { "id": "file-2", "original_name": "report2.jpg" },
    { "id": "file-3", "original_name": "report.pdf" }
  ]
}

Save the session_id.

Step 2: OCR with real-time progress

$OCRSTREAM <session_id>

Outputs one JSON per line:

{"step":"resume","progress":1,"message":"Resuming from checkpoint (last completed: ocr)..."}
{"step":"normalize","progress":5,"message":"Loading file 1/3..."}
{"step":"ocr","progress":30,"message":"OCR page 2/3: report2.jpg"}
{"step":"ocr_retry","progress":35,"message":"Retrying OCR page 1/1: report1.jpg"}
{"step":"structure","progress":62,"message":"Detecting report groups..."}
{"step":"structure","progress":75,"message":"Structuring report 2/2..."}
{"step":"normalize_indicators","progress":88,"message":"Standardizing..."}
{"step":"done","progress":100,"data":{"session_id":"...","reports":[...],"resumed":true}}

Display progress to the user as each line arrives.

Key progress events

stepmeaning
resumePipeline is resuming from a saved checkpoint (not starting from zero)
infoInformational message (e.g. which step was resumed from)
normalizeLoading and preprocessing files
ocrOCR text extraction per page
ocr_retryRetrying previously failed pages only
structureAI analyzing and grouping reports
normalize_indicatorsStandardizing indicator names
doneComplete — data field contains the full results
errorPipeline failed — check message for details

If step=resume appears, tell the user: "正在从上次的进度继续处理(不需要重新开始)"

Error responses from $OCRSTREAM

codemeaningaction
processing_in_progressAnother OCR run is still activeWait and retry, or poll /status
ocr_limit_exceededFree OCR quota exhaustedTell user to upgrade
(no code)Pipeline error (LLM timeout etc.)Retry — will auto-resume from checkpoint

Step 2b: Poll status (when SSE disconnects)

If the SSE stream disconnects (network timeout, terminal closed), use the status endpoint to check progress:

$APICALL GET "/api/skill/sessions/<session_id>/status"

Returns:

{
  "session_id": "uuid",
  "status": "processing",
  "pipeline": {
    "completedStep": "ocr",
    "pageCount": 5,
    "ocrCompleted": 4,
    "ocrFailed": 1,
    "reportCount": 0,
    "errors": [{"step":"ocr","pageIndex":2,"message":"PaddleOCR timeout"}]
  },
  "error": null,
  "is_stale": false
}

Field guide:

  • status = processing + is_stale = false → OCR is still running normally
  • status = processing + is_stale = true → Worker crashed/timed out, safe to retry OCR
  • status = awaiting_confirm → OCR completed! Fetch session detail for results
  • status = uploading + error present → Last OCR attempt failed, retry will resume from checkpoint
  • pipeline.completedStep → How far the pipeline got (normalize → ocr → structure → done)
  • pipeline.ocrFailed → Number of pages that failed OCR (will be retried on next attempt)

Polling workflow:

1. Call $OCRSTREAM → SSE disconnects mid-way
2. Poll GET /sessions/<id>/status every 5-10 seconds
3. When status = "awaiting_confirm" → fetch full results with GET /sessions/<id>
4. If status = "uploading" (failed) → retry with $OCRSTREAM (auto-resumes)
5. If is_stale = true → retry with $OCRSTREAM (auto-resumes from checkpoint)

Step 3: Review results (MANDATORY)

Parse the step=done data. Show formatted summary. Do NOT auto-confirm.

Each report has a reportType field: lab, genetic, imaging, pathology, or other.

Lab reports (reportType = "lab")

Show indicators table:

📋 报告 1: [lab] 尿生化 (编号: 114431194)
   日期: 2025-02-05  医生: 俞海瑾
   指标: 12 个 (3 个异常)
   ┌──────────────────────┬────────┬──────────┬────────────┬──────┐
   │ 指标                 │ 结果   │ 单位     │ 参考范围   │ 异常 │
   ├──────────────────────┼────────┼──────────┼────────────┼──────┤
   │ 24H尿钠              │ 130.0  │ mmol/24h │ 137-257    │  ⬇   │
   └──────────────────────┴────────┴──────────┴────────────┴──────┘

Non-lab reports (reportType = "genetic" / "imaging" / etc.)

Show summary + sections:

📋 报告 1: [genetic] 基因检测报告
   日期: 2025-09-12  检测机构: 南京申友医学检验所
   摘要: 心血管18项基因检测...高血压、冠心病风险一般...
   段落: 18 sections
     [gene_variant] 高血压 — 风险: 正常
     [gene_variant] 冠心病 — 风险: 一般
     [medication] ACEI类降压药 — 正常代谢型
     ...

Supported file types

  • Images (JPG/PNG/HEIC): PaddleOCR → structure
  • PDF (any size): Azure Mistral Document AI page-split → structure

- Large PDFs (e.g. 23-page gene report, 9.6MB) are fully supported

Step 4: Confirm and save

After user confirms:

$APICALL POST "/api/skill/sessions/<session_id>/confirm" '{"reports":[<reports from step 2>]}'

Returns: {"success":true,"message":"2 report(s) saved","recordIds":[...]}

Resuming incomplete sessions

When the user asks to continue/resume a previous upload, or when checking for unfinished work:

Step A: Find pending sessions

# List sessions that need OCR (uploaded but not processed)
$APICALL GET "/api/skill/sessions?status=uploading"

# List sessions stuck in processing (user exited mid-OCR)
$APICALL GET "/api/skill/sessions?status=processing"

# List sessions with OCR done but not yet confirmed
$APICALL GET "/api/skill/sessions?status=awaiting_confirm"

Show a summary of pending sessions to the user (file names, dates, status).

Step B: Resume based on status

  • uploading: Start OCR directly → go to Step 2 ($OCRSTREAM <session_id>)

- If there's a saved checkpoint (previous failed attempt), OCR auto-resumes from it

  • processing: Check with status endpoint first:
  $APICALL GET "/api/skill/sessions/<session_id>/status"

- is_stale = false → still running, wait or poll - is_stale = true → worker died, safe to retry: $OCRSTREAM <session_id> (auto-resumes from checkpoint)

  • awaiting_confirm: Get session detail → show results → go to Step 3 (review & confirm)
# Get full detail of a pending session (includes OCR results if awaiting_confirm)
$APICALL GET "/api/skill/sessions/<session_id>"

If the session is awaiting_confirm, the response includes ocr_result with the previously parsed reports — display them for review and proceed to Step 3 (confirm).

Resume-aware response handling

When $OCRSTREAM outputs step=done:

  • resumed = true in the data → tell user: "已从上次的进度恢复,OCR 结果已就绪"
  • resumed = false (or absent) → normal fresh run

When $OCRSTREAM outputs step=error:

  • code = processing_in_progress → tell user OCR is still running, poll /status instead
  • code = ocr_limit_exceeded → tell user to upgrade
  • No code → LLM/network error, safe to retry (will auto-resume from checkpoint)

Step C: Delete individual reports or stale sessions

Delete a single report (does NOT affect other reports in the same session):

$APICALL DELETE "/api/skill/sessions/<session_id>/records/<record_id>"

Delete an entire session (cascade deletes ALL files + reports):

$APICALL DELETE "/api/skill/sessions/<session_id>"

Other session operations

# List all sessions (all statuses)
$APICALL GET /api/skill/sessions

# List sessions filtered by status: uploading | processing | awaiting_confirm | completed
$APICALL GET "/api/skill/sessions?status=<status>"

# Get session detail (includes OCR results if awaiting_confirm, saved reports if completed)
$APICALL GET "/api/skill/sessions/<session_id>"

# Poll OCR progress (lightweight, use when SSE disconnects)
$APICALL GET "/api/skill/sessions/<session_id>/status"

# Delete single report (keeps session and other reports intact)
$APICALL DELETE "/api/skill/sessions/<session_id>/records/<record_id>"

# Delete entire session (undo everything: files + reports)
$APICALL DELETE "/api/skill/sessions/<session_id>"

平台分布

OpenClaw

72.71%
按下载量换算651

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install caremax-ocr 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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