请先说你好.skill

请先说你好 — Companion-style check-ins via /hi commands and natural conversation. Use when users greet, ask for emotional companionship, initialize or edit compan...

This skill appears coherent and implements local companion logic plus optional integration with a host (OpenClaw Heartbeat). Before installing or enabling proactive delivery: 1) review the skill's state and roles paths (state/session.yaml, roles/) and where HEARTBEAT.md will be written (resolved from OPENCLAW_HOME / OPENCLAW_WORKSPACE or openclaw.json) so you are comfortable with files being created/updated; 2) inspect scripts (companion_runtime.py, heartbeat_bridge.py, sync_heartbeat_md.py) if you want to confirm there are no unexpected network calls or side effects in your environment; 3) keep proactive outreach disabled until you wire in Heartbeat/Cron in a host that controls outbound delivery and targets; 4) note the repo listing included what looks like a truncated line in companion_runtime.py (a probable syntax/typo artifact in the provided snippet); verify the actual file in the source you install. If you want, I can point out exact files/lines to inspect or summarize network/file I/O occurrences found in each script.

Type: OpenClaw Skill Name: say-hi-to-me Version: 0.0.2 The skill bundle implements a digital companion with persona management and proactive greeting features. It uses a structured state management system (session.yaml) and integrates with the OpenClaw Heartbeat system by programmatically generating a HEARTBEAT.md file in the user's workspace. The Python scripts (companion_runtime.py, sync_heartbeat_md.py) use safe practices such as yaml.safe_load and pathlib for file operations, and the instructions in SKILL.md are strictly aligned with the stated purpose of providing emotional companionship and role-play within defined safety boundaries (safety-policy.md).