Visual Emotion Recognition Skill | 人体视觉情绪识别技能

Uses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time...

Key things to consider before installing or running this skill: - Data privacy: The skill processes face images/videos. Do not upload sensitive or identifying material unless you trust the remote API endpoints and have consent from subjects. - Undeclared environment and file access: Although the skill metadata lists no required env vars, the code reads OPENCLAW_SENDER_OPEN_ID, OPENCLAW_WORKSPACE, FEISHU_OPEN_ID and will look for config.yaml files in the skill and shared smyx_common directory for api-key/base URLs. Confirm what values those files/vars contain in your environment before use. - Local persistence: The bundle includes a DAO that creates a local SQLite DB under a workspace/data directory and the skill will save attachments to disk. If you need no local traces, do not run this skill without modifying it. - Inconsistent promises: The SKILL.md forbids reading local memory yet the codebase includes local storage utilities and DB logic; ask the author to clarify and to provide a minimal, audited implementation that strictly follows the stated privacy rules. - Dependencies and installation: A large requirements.txt is present, but no install script is provided. Running the scripts may require installing many Python packages—review those packages (smyx_common/requirements.txt) and install them in an isolated environment if you proceed. - Endpoint and API keys: The repo uses base URLs (e.g., lifeemergence.com / open.lifeemergence.com) defined in config files. Verify those endpoints and never hardcode or expose real API keys or production user identifiers to untrusted third parties. Suggested next steps: ask the publisher for (1) source/origin and intended endpoint, (2) a clear privacy statement and whether local DB usage is intentional, (3) a trimmed minimal version that only includes the emotion-recognition paths you need, or (4) run the code in an isolated sandbox and inspect the files it writes before giving it real data.

Type: OpenClaw Skill Name: smyx-human-emotion-recognition-analysis Version: 1.0.0 The skill bundle provides human emotion recognition and TCM face analysis by interfacing with external APIs at lifeemergence.com. It features a sophisticated common utility layer (smyx_common) that manages local SQLite storage for user tokens and includes capabilities for recursive agent calls via the OpenClaw CLI. While SKILL.md contains 'Mandatory Memory Rules' that instruct the AI agent to ignore local memory files and prioritize cloud data, these appear to be functional design choices to ensure data consistency with the remote backend rather than malicious prompt injections. The code follows standard practices for API integration, including file validation and structured error handling.