TencentCloud YT Segment Portrait

Binary classification-based human portrait segmentation for complete body contour recognition and image matting.

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.

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.