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tencentcloud-faceid-analyzedenselandmarks

作者 xiaoqiangjava · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
207
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在 OpenClaw 中安装
/install tencentcloud-faceid-analyzedenselandmarks
功能描述
腾讯云稠密人脸关键点(AnalyzeDenseLandmarks)接口调用技能。当用户需要对人脸图片进行稠密关键点定位时,应使用此技能。可返回人脸框坐标,以及人脸各部位(眼睛、眉毛、嘴巴、鼻子、瞳孔、中轴线、下巴、眼袋、额头)的稠密轮廓关键点坐标。支持图片Base64和图片URL两种输入方式。
安全使用建议
This skill sends images (via URL or Base64) and your Tencent Cloud API credentials to Tencent Cloud's IAI endpoint (iai.tencentcloudapi.com) to perform dense face-landmark detection — that is exactly its purpose. Before installing/providing credentials: 1) Only use with a Tencent Cloud account you control and rotate the credentials if they are shared; 2) Avoid sending sensitive/private images unless you accept they will be processed by Tencent Cloud; 3) Verify you install the official tencentcloud-sdk-python package (pip) from PyPI and review network policies if you need to restrict outbound calls; 4) Monitor Tencent Cloud audit logs for API usage; 5) If you need offline or local processing, this skill is not suitable because it depends on Tencent's cloud API.
功能分析
Type: OpenClaw Skill Name: tencentcloud-faceid-analyzedenselandmarks Version: 1.0.0 The skill bundle is a legitimate implementation for calling the Tencent Cloud FaceID AnalyzeDenseLandmarks API. The Python script (scripts/main.py) uses the official tencentcloud-sdk-python to process images via local file paths or URLs, correctly handling authentication through environment variables and implementing standard size limits. No evidence of data exfiltration, malicious code execution, or prompt injection was found.
能力评估
Purpose & Capability
Name/description match the implementation: the SKILL.md and scripts/main.py implement calls to Tencent Cloud IAI AnalyzeDenseLandmarks, and request only the Tencent Cloud API key/secret needed for that API.
Instruction Scope
Runtime instructions and the script only read the provided image (file path or Base64) and environment variables TENCENTCLOUD_SECRET_ID/TENCENTCLOUD_SECRET_KEY, then call the Tencent IAI endpoint. No unrelated files, system paths, or external endpoints are referenced.
Install Mechanism
There is no automated installer. The SKILL.md asks the user to pip install tencentcloud-sdk-python if missing — this is proportional and expected for a Python script using Tencent's SDK.
Credentials
Only TENCENTCLOUD_SECRET_ID and TENCENTCLOUD_SECRET_KEY are required and are necessary for authenticating to Tencent Cloud. No unrelated secrets or excessive env vars are requested.
Persistence & Privilege
The skill is not always-enabled and uses the normal autonomous-invocation default. It does not modify other skills or system-wide settings and does not request persistent elevated privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install tencentcloud-faceid-analyzedenselandmarks
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tencentcloud-faceid-analyzedenselandmarks 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of the tencentcloud-faceid-analyzedenselandmarks skill: - Provides access to Tencent Cloud's dense face keypoint (AnalyzeDenseLandmarks) API. - Returns coordinates of dense facial landmarks for features such as eyes, eyebrows, mouth, nose, pupils, midline, chin, eye bags, and forehead. - Supports up to 5 faces per image and accepts both image URL and Base64 input. - Includes usage instructions, parameter details, and example command-line usage. - Requires Python 3.6+ and the tencentcloud-sdk-python package.
元数据
Slug tencentcloud-faceid-analyzedenselandmarks
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

tencentcloud-faceid-analyzedenselandmarks 是什么?

腾讯云稠密人脸关键点(AnalyzeDenseLandmarks)接口调用技能。当用户需要对人脸图片进行稠密关键点定位时,应使用此技能。可返回人脸框坐标,以及人脸各部位(眼睛、眉毛、嘴巴、鼻子、瞳孔、中轴线、下巴、眼袋、额头)的稠密轮廓关键点坐标。支持图片Base64和图片URL两种输入方式。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 207 次。

如何安装 tencentcloud-faceid-analyzedenselandmarks?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install tencentcloud-faceid-analyzedenselandmarks」即可一键安装,无需额外配置。

tencentcloud-faceid-analyzedenselandmarks 是免费的吗?

是的,tencentcloud-faceid-analyzedenselandmarks 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

tencentcloud-faceid-analyzedenselandmarks 支持哪些平台?

tencentcloud-faceid-analyzedenselandmarks 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 tencentcloud-faceid-analyzedenselandmarks?

由 xiaoqiangjava(@xiaoqiangjava)开发并维护,当前版本 v1.0.0。

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