reply-coach

从剪贴板读取聊天内容，生成尊重边界、自然不油腻的高情商回复建议，适用于微信、QQ等聊天场景。

This skill is simple and appears to do exactly what it says: read clipboard text and print it for the agent to turn into reply suggestions. Before installing/using it: (1) Be aware it relies on pbpaste, so it only works out-of-the-box on macOS. (2) Do not copy passwords, API keys, private tokens, or other secrets into your clipboard before invoking the skill — the script prints the raw clipboard contents and those could be included in prompts or logs. (3) The code uses node's child_process to run pbpaste; that is expected here but you can review the short script (scripts/reply_from_clipboard.mjs) yourself to confirm. (4) If you want cross-platform usage, request or modify a variant that uses platform-appropriate clipboard tools (e.g., xclip/xsel on Linux, powershell Get-Clipboard on Windows). If you need formal guarantees about data staying local, verify the agent's runtime doesn't transmit logs/prompts to external services or add explicit filtering/sanitization of clipboard contents.

Type: OpenClaw Skill Name: reply-coach Version: 1.0.0 The 'reply-coach' skill is designed to assist users with chat replies by reading the system clipboard. The implementation in `scripts/reply_from_clipboard.mjs` uses the standard macOS `pbpaste` command to retrieve text, which is then processed by the AI agent as described in `SKILL.md`. The code is minimal, lacks any external network calls or obfuscation, and its behavior aligns perfectly with its stated purpose of analyzing copied chat messages.