Child Emotion Recognition Analyzer | 儿童情绪识别分析工具

Identifies negative emotions such as crying, anger, fear, and distress through surveillance footage. It actively issues soothing reminders and notifies paren...

This skill is internally inconsistent. Before installing or running it, confirm with the publisher: (1) where uploaded footage and derived reports are sent and retained (explicit domain/endpoints and retention policy); (2) which environment variables or config files you must provide (open-id, API keys) and whether any secrets will be stored locally; (3) whether the skill will create a local database or attachments directory and what it stores there; (4) whether the reported prohibition on reading local memory is enforced by code (it currently is not). Also consider legal/privacy consequences of sending child surveillance video to third-party services and avoid running the skill on sensitive data until you verify data handling and consent. If you cannot get clear answers, treat the skill as untrusted and do not run it on production or sensitive footage.

Type: OpenClaw Skill Name: smyx-child-emotion-recognition-analysis Version: 1.0.0 The skill bundle contains high-risk architectural patterns, including a local SQLite database for persisting user tokens and session data (smyx_common/scripts/dao.py) and a utility that allows the skill to recursively invoke the 'openclaw' agent via subprocess (smyx_common/scripts/skill.py). Additionally, SKILL.md contains 'highest priority' prompt instructions designed to override the agent's standard memory retrieval behavior, forcing exclusive reliance on a specific third-party API (lifeemergence.com). While these features appear to support a legitimate service ecosystem, the combination of local credential persistence and recursive agent execution capabilities represents a significant security surface beyond a typical analysis tool.