Multi-channel short-term memory for AI assistants

Before installing or enabling this skill, review and adjust the code and integration settings: 1) Inspect session_hook.py and session_hook_lite.py and remove or change hard-coded absolute paths (they point to a developer's home). 2) Confirm where memory files will be stored (default 'memory/' vs absolute paths) and ensure they don't contain secrets you don't want injected into prompts. 3) Audit the family-group sharing logic — by default it includes other members' recent messages; enable/require explicit consent if that is sensitive. 4) If you will add the session hook to automatic reply flow, test in a sandbox environment to see exactly what gets injected into prompts (especially MEMORY.md contents). 5) If you want stricter boundaries, modify the code to require explicit config for MEMORY.md path and to opt-in for cross-identity sharing. These changes will reduce privacy risk and make the skill's declared requirements match its behavior.

Type: OpenClaw Skill Name: channel-activity-yanyue Version: 3.0.0 The skill bundle implements a multi-channel short-term memory system designed to synchronize context across different chat platforms (e.g., Feishu, QQ). The implementation uses local JSON files and Markdown for storage and includes features for 'family group' data sharing and automated TTL-based cleanup. Analysis of the Python scripts (channel_activity.py, complete_context.py) and documentation reveals no evidence of data exfiltration, unauthorized network access, or malicious execution; the hardcoded local paths found in session_hook.py appear to be non-malicious developer artifacts rather than an attack vector.