Respiratory Symptom Smart Recognition Tool | 呼吸道症状智能识别工具

Based on computer vision, automatically detects coughing, phlegm, and wheezing frequency, counts the frequency of episodes, used for early health anomaly ale...

Key points before installing or using this skill: - Privacy: The skill uploads video files (potentially showing people's faces and breathing) to remote AI APIs. Only upload videos you are allowed to share and avoid sensitive personal data unless you trust the remote service and its data handling policies. - Undeclared config/credentials: The manifest lists no required env vars, but the code will read environment variables (OPENCLAW_WORKSPACE, OPENCLAW_SENDER_OPEN_ID, FEISHU_OPEN_ID) and module config.yaml files that may contain API URLs and api-key values. Check all config files (skills/smyx_common/scripts/config.yaml and skills/{this_skill}/skills/smyx_common/scripts/config.yaml) for endpoints or keys before running. - Local persistence: The skill will save uploaded attachments to its attachments directory and the shared smyx_common DAO will create a SQLite DB under the workspace data directory. If you run it in a shared workspace, expect persistent files. If you want containment, run the skill in an isolated workspace or container. - Incoherent rules: SKILL.md forbids reading local memory, but the code contains local storage and configuration loaders. Ask the author to clarify the intended behavior (where history is saved, and what the prohibition on local memory means in practice). - Dependencies: There are large requirements files but no install instructions. Decide how you will manage dependencies (virtualenv/container) and avoid auto-running untrusted install scripts. - API endpoints: The provided config files reference domains like lifeemergence.com and example dev/local IPs. Verify the production API URL before sending data; consider auditing the remote API provider's privacy/security practices. If you are not comfortable with any of the above, do not upload real patient or sensitive videos and run the skill in an isolated environment. If possible, request from the skill author explicit documentation of runtime network endpoints, what data is transmitted, retention policies, and confirm the intended handling of local memory vs. cloud history.

Type: OpenClaw Skill Name: smyx-respiratory-symptom-recognition-analysis Version: 1.0.0 The skill bundle implements a health monitoring tool that collects sensitive user identifiers (phone numbers/usernames) and uploads video data to a remote backend (lifeemergence.com). It contains 'highest priority' instructions in SKILL.md that explicitly command the AI agent to bypass its standard local memory and LanceDB retrieval systems in favor of the developer's cloud API, which constitutes aggressive prompt steering. Furthermore, the common utility scripts (smyx_common/scripts/skill.py) include a high-risk capability to recursively execute the 'openclaw' CLI via subprocess.run, and the bundle maintains a local SQLite database (smyx-common-claw.db) to persist session tokens and user metadata.