Psychological Stress Assessment Skill | 心理压力评估技能

Combines facial blood flow and emotional characteristics to analyze stress index, anxiety tendency, and depression tendency, suitable for mental health monit...

Key points to consider before installing or using this skill: - Inconsistency: SKILL.md forbids reading local memory, but the code reads/writes local config YAML files, environment variables, and a local SQLite DB (workspace/data). Do not assume the skill will avoid local data — it will persist and read records. - open-id and secrets: The skill requires an open-id to operate and looks for it in config files and environment variables. Confirm where you (or your org) would store open-id/API keys. If you store sensitive identifiers in a shared workspace config, the skill will read them. - Remote endpoints: Default config points to external domains (lifeemergence.com) and test/dev addresses. Verify and trust the target API endpoints before sending facial videos (sensitive biometric data). If you cannot verify the remote service, avoid uploading personal or employee videos. - Data retention & privacy: The skill saves attachments and keeps historical reports locally (SQLite) and queries historical reports from the remote API. If you need strict privacy or deletion guarantees, clarify retention policies or avoid storing videos on the host. - Dependencies & execution: No automated installer is provided, but the repo lists many dependencies. If you choose to run the scripts, do so in an isolated environment with reviewed dependencies and inspect RequestUtil (skills/smyx_common/scripts/util.py) to confirm how HTTP requests and credentials are handled. - What to ask the publisher or check in the code: 1) Which remote API endpoints will receive videos? 2) How are API keys/open-id authenticated and stored? 3) Where exactly are attachments and the SQLite DB stored and how long are they kept? 4) Confirm whether environment variables (OPENCLAW_SENDER_OPEN_ID, OPENCLAW_WORKSPACE) are used and whether that is acceptable. 5) Verify that the skill honors the SKILL.md prohibition in practice (it currently does not). Given these mismatches and the privacy sensitivity of facial/video data, treat this skill with caution and require clarification/changes before use in a production or sensitive environment.

Type: OpenClaw Skill Name: smyx-psychological-stress-assessment-analysis Version: 1.0.0 The skill performs high-risk biometric data collection (facial blood flow and micro-expressions) and uses aggressive prompt instructions in SKILL.md to force the agent to bypass local memory/LanceDB in favor of cloud-only data. The shared library (smyx_common) implements a local SQLite database (dao.py) to manage user tokens and automatically injects credentials into requests to external endpoints like lifeemergence.com (util.py). Furthermore, the code includes the ability to recursively call the 'openclaw' agent via subprocess (skill.py), which is a high-privilege capability.