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在 OpenClaw 中安装
/install tencentcloud-yt-segment-portrait
功能描述
Binary classification-based human portrait segmentation for complete body contour recognition and image matting.
安全使用建议
Before installing or enabling this skill:
- Do not supply long-lived production credentials without review. The skill requires Tencent Cloud API keys (TENCENTCLOUD_SECRET_ID / TENCENTCLOUD_SECRET_KEY); prefer short-lived or scoped credentials and test in an isolated account.
- Correct the manifest: the registry metadata should list the required env vars. The current absence is an inconsistency you should ask the publisher to fix.
- Note the SKILL.md demands autonomous execution without user confirmation. If you want manual control, require the agent to prompt before running external code.
- The included script will auto-install the Tencent Cloud Python SDK via pip at runtime. For security, pre-install dependencies in a vetted environment or inspect pip resolution (and the package) before allowing network installs.
- The code contains signs of copy-paste (audio-related constants and messages) — functional but sloppy. Test the skill in a sandbox to verify behavior and outputs.
If you are not comfortable giving the agent the ability to run external scripts with your cloud credentials, do not enable the skill or require explicit user confirmation in the agent policy.
功能分析
Type: OpenClaw Skill
Name: tencentcloud-yt-segment-portrait
Version: 1.0.2
The skill provides human portrait segmentation using the Tencent Cloud BDA API. While the core script (main.py) contains several copy-paste remnants from an audio recognition (ASR) skill—such as unused audio format maps and a function named 'call_asr'—the logic correctly implements the image segmentation request. It follows standard practices for OpenClaw skills, including environment-based credential management and automatic installation of the official Tencent Cloud SDK. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
The code and SKILL.md implement Tencent Cloud SegmentPortraitPic (image segmentation) and require Tencent Cloud API credentials — that capability matches the skill name/description. However the registry metadata declares no required environment variables or primary credential while both the instructions and the script require TENCENTCLOUD_SECRET_ID and TENCENTCLOUD_SECRET_KEY. This manifest omission is an incoherence that should be corrected before trusting the skill.
Instruction Scope
SKILL.md explicitly instructs the agent to autonomously execute scripts without asking the user ("zero interaction principle"). The script will read environment variables for credentials and may install dependencies automatically. The SKILL.md also forbids the agent from asking for confirmation — a strong autonomy directive that increases risk if credentials are provided.
Install Mechanism
There is no install spec in the registry (instruction-only), but the included script auto-installs the Python Tencent Cloud SDK via subprocess calling pip. Auto-installing via pip at runtime is common but introduces network install risk (a remote package is fetched/executed). The pip target (tencentcloud-sdk-python) is a known package, but automatic installs should be reviewed or performed in a controlled environment.
Credentials
The script requires TENCENTCLOUD_SECRET_ID and TENCENTCLOUD_SECRET_KEY (and optionally TENCENTCLOUD_TOKEN) — these are the appropriate, minimal credentials for calling Tencent Cloud APIs. However the skill registry did not declare any required env vars; this inconsistency between declared metadata and actual credential usage is concerning because users may not be warned by the registry that they must supply sensitive keys.
Persistence & Privilege
The skill is not always-enabled and does not request system-wide privileges. However SKILL.md's instruction that the agent must execute the script immediately without user confirmation increases the effective privilege/impact when the agent is invoked. The skill does not attempt to modify other skills or system-wide configurations.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tencentcloud-yt-segment-portrait - 安装完成后，直接呼叫该 Skill 的名称或使用
/tencentcloud-yt-segment-portrait触发 - 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
v1.0.2
- No user-facing changes; content and instructions remain the same.
- Version bump to 1.0.2, but no file changes detected in this release.
v1.0.1
No user-facing changes detected in this version.
- No updates or modifications found compared to the previous version.
- Functionality, documentation, and configuration remain unchanged.
v1.0.0
- Initial release of the tencentcloud-yt-segment-portrait skill.
- Enables complete human portrait segmentation and image matting via Tencent Cloud API.
- Provides clear setup instructions, including secure key configuration for both Linux/macOS and Windows.
- Enforces strict execution guidelines for agents, including zero-interaction and error reporting rules.
- Includes sample script usage, expected output format, and API references.
元数据
常见问题
TencentCloud YT Segment Portrait 是什么？
Binary classification-based human portrait segmentation for complete body contour recognition and image matting. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 321 次。
如何安装 TencentCloud YT Segment Portrait？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tencentcloud-yt-segment-portrait」即可一键安装，无需额外配置。
TencentCloud YT Segment Portrait 是免费的吗？
是的，TencentCloud YT Segment Portrait 完全免费（开源免费），可自由下载、安装和使用。
TencentCloud YT Segment Portrait 支持哪些平台？
TencentCloud YT Segment Portrait 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 YT Segment Portrait？
由 败毒（@neck-cn）开发并维护，当前版本 v1.0.2。
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