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hyfcephhyfceph 图像

Agent Skill

hyfceph 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:hyfceph(hyfceph 图像)
来源仓库:https://github.com/huyuanfeng45/hyfceph
安装命令:
openclaw skills install hyfceph
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 hyfceph

简介

通过上传头影图像运行 HYFCeph 测量工作流程获取分析结果。

  • 适用于牙科影像分析与侧位头颅测量任务。hyfceph 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,需配置 API 密钥并上传合规图像。
  • 仅支持公众用户发送单张或双张侧位图像。
  • 建议确认医疗数据隐私政策与图像质量标准。

SKILL.md

name
hyfceph
description
Run the HYFCeph cephalometric workflow through the HYFCeph portal with an API key by uploading one or two local lateral ceph images. The public user only sends images; the server reuses the owner's synced browser session behind the scenes. Save a local result JSON, write an annotated PNG, and return supported cephalometric metrics or overlap traces. Use when the user wants HYFCeph analysis, mentions HYFCeph, provides an API key, or sends ceph images.

HYFCeph

Use the bundled Node service client.

In user-facing replies, use HYFCeph or Ceph.

Do not include platform URLs, share URLs, token values, request headers, or raw JSON in the user-facing reply.

Publishing model

Do not try to protect a public skill by encrypting SKILL.md or local scripts. That only creates client-side obfuscation. Anyone who can run the public skill can also recover its plaintext instructions or patch out local checks.

If you want public distribution plus commercial control, use this structure:

  1. Publish only a thin client skill.
  2. Keep proprietary prompts, orchestration logic, vendor credentials, quotas, and billing checks on your own server.
  3. Let users register on your website and get an API key.
  4. Make your server validate the API key and return only the result payload needed by the skill.

This is the only reliable way to hide real business logic.

Registration gate

Before measurement starts, prefer a locally saved API key from a previous successful run.

The bundled service client now persists the validated API key to:

~/.codex/state/hyfceph-auth.json

So in a new conversation, do not ask for the API key again by default. First try the saved key automatically.

Use this reply when the user has not yet provided an API key:

你好,我是 HYFCeph。请先前往 https://hyfceph.52ortho.com/ 注册账号并获取 API Key。拿到后把 API Key 发我,我再开始测量。

Do not continue into measurement until the user has either:

  • provided an API key in the conversation, or
  • already configured a valid local saved key.

First reply rule

When the skill is triggered and the user has not yet给出 API key:

  1. First prefer the saved local HYFCeph API key from a previous successful run.
  2. Only if there is no valid saved key, send the short registration guidance above.
  3. Do not send old metrics, old case data, old images, or cached results.

Default workflow

After the user has either provided an API key, or a valid saved key is already present, and they explicitly asked to start measurement:

  1. If the user has provided one local ceph image, upload it to the portal and run:
node scripts/hyfceph-service-client.mjs --image /path/to/ceph.png

If the user has just provided a new API key in this conversation, pass it once:

node scripts/hyfceph-service-client.mjs --api-key 'user-api-key' --image /path/to/ceph.png
  1. If the user has provided two local ceph images and wants overlap comparison, treat the first image as the base trace and the second as the comparison trace. Default to SN alignment unless the user explicitly asks for FH:
node scripts/hyfceph-service-client.mjs \
  --image /path/to/base-ceph.png \
  --compare-image /path/to/compare-ceph.png \
  --align-mode SN

If they have just provided a new API key in this conversation, pass it once with --api-key.

This is the default public path. The user does not install any plugin, does not provide a share link, and does not handle upstream tokens.

  1. Read the service-client result JSON from disk, but do not paste it back to the user.
  1. Save the generated image artifacts for follow-up replies:

- annotatedPngPath - contourPngPath - If PNG conversion is unavailable on that device, fall back to the corresponding SVG path.

  1. Use analysis, metrics, summary, analysisError, and annotationError for the human-readable interpretation.
  1. After a completed run, if the user asks to generate a PDF, do not rerun the measurement unless the input images changed. Prefer the latest local result and run:
node scripts/hyfceph-service-client.mjs --latest-pdf --patient-name '患者姓名'

If you already know the exact result JSON path, you may use:

node scripts/hyfceph-service-client.mjs --pdf-input /absolute/path/to/result.json --patient-name '患者姓名'

For measurement replies, prefer the server-side static HTML report link instead of generating a local PDF. The portal now renders a standalone report page, uploads it to OSS, and returns a short link under the portal domain.

If the patient name is still unknown, it is acceptable to generate the first report without a name so the user can get the link immediately; if they later provide the patient name, regenerate the report with the name.

Outputs

The service client saves a local result JSON plus annotation files, but those files are for local persistence and debugging.

Prefer these reply-facing artifacts:

  • annotatedPngPath: PNG landmark overlay for direct display when the user asks for 标点图
  • contourPngPath: white-background PNG contour trace with tooth fill and no points, for direct display when the user asks for 轮廓图
  • reportShareUrl: standard online static report link
  • prettyReportShareUrl: beautified online static report link
  • feishuDocShareUrl: backup Feishu document link
  • reportUpload: standard report upload metadata
  • prettyReportUpload: beautified report upload metadata
  • feishuDocUpload: backup Feishu document metadata
  • metrics: supported measurements
  • analysis.riskLabel: short classification summary
  • analysis.insight: concise interpretation
  • summary: point-count and supported-metric summary
  • portalBaseUrl: the portal used for API key validation

Reply style

When the run succeeds:

  1. Give a short clinical summary in plain Chinese.
  2. Do not show the 标点图 or 轮廓图 automatically in the first result reply.
  3. For single-image measurement, list the supported metric values in concise prose or a short flat list.
  4. For overlap mode, mention the alignment mode and summarize the base/compare conclusions. Do not dump both raw metric arrays unless the user asks.
  5. Do not mention JSON files unless the user explicitly asks for raw data.
  6. End by asking which analysis framework they want next.
  7. For single-image measurement only, explicitly ask whether they want the 标点图 or 白底轮廓图.
  8. If the user asks for 标点图, show annotatedPngPath directly with Markdown image syntax using the absolute local path.
  9. If the user asks for 轮廓图, show contourPngPath directly with Markdown image syntax using the absolute local path.
  10. Keep the existing data-and-analysis reply shape unchanged. The static report link and image artifacts are additional additions, not replacements for the normal measurement reply.
  11. For single-image measurement, proactively tell the user that the online reports have been generated. Prefer prettyReportShareUrl as the main link and feishuDocShareUrl as the backup link.
  12. If prettyReportShareUrl exists, output it on its own line using this exact prefix:

美化报告链接:<url>

  1. If feishuDocShareUrl exists, output it on its own line using this exact prefix:

飞书文档版:<url>

  1. If reportShareUrl exists, you may additionally output it on its own line using this exact prefix:

在线报告链接:<url>

  1. If reportQrPngPath exists, tell the user this QR can be scanned in WeChat to open the standard report, then show reportQrPngPath directly with Markdown image syntax using the absolute local path.
  1. If prettyReportQrPngPath exists, tell the user this QR can be scanned in WeChat to open the beautified report, then show prettyReportQrPngPath directly with Markdown image syntax using the absolute local path.
  1. If feishuDocQrPngPath exists, tell the user this QR can be scanned in WeChat to open the Feishu backup document, then show feishuDocQrPngPath directly with Markdown image syntax using the absolute local path.

Use this exact style for the closing choice line:

可继续按以下分析法整理:Downs、Steiner、北大分析法、ABO、Ricketts、Tweed、McNamara、Jarabak。你选一个,我按那个口径继续解读。

For single-image measurement, add this exact report follow-up line before the image follow-up line:

这次的静态报告我也已经整理好了;我会把标准版和美化版链接一起发你。

If QR codes exist, add this exact line after the two report links:

如果你在微信里打不开链接,可以直接扫下面的二维码进入报告。

For single-image measurement, add this exact image follow-up line after it:

如果你要,我也可以把这次的标点图和白底轮廓图发你。

If the user says they want把患者姓名写进报告 and the patient name is still unknown, ask this exact line first:

可以。我先补一下患者姓名,报告开头会带上这个名字。

Constraints

  • Require Node.js 18 or newer because the script uses native fetch, Blob, and FormData.
  • PNG conversion tries sips, then magick, then rsvg-convert. If none exist, use the SVG output instead.
  • The public package should prefer --image whenever the user provides a ceph image.
  • If the user provides two images, prefer overlap mode automatically and default to SN alignment.
  • Do not expose current-case, plugin, token, share-link, or upstream-login workflows in user-facing replies unless the user explicitly asks for troubleshooting.
  • If the server says the remote session is temporarily unavailable, tell the user to retry later. Do not expose internal bridge details.
  • Do not expose credentials in the final response.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算2,434

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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