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unanswered-messages未回复的消息

Agent Skill

unanswered-messages 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,231

周安装

132

GitHub Stars

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下载量

1,035
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:unanswered-messages(未回复的消息)
来源仓库:https://github.com/netanel-abergel/unanswered-messages
安装命令:
openclaw skills install unanswered-messages
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install unanswered-messages

简介

unanswered-messages 基于本地文件跟踪未回复的消息和待处理沟通。

  • 无需数据库,轻量高效地管理收件箱状态。
  • 适合查找错过的消息或等待回复的人员。unanswered-messages 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 数据存储在本地,建议定期备份以防丢失。
  • 不涉及外部网络请求,安全性较高但依赖本地维护。

SKILL.md

name
unanswered-messages
description
Track and find unanswered messages using a local file-based inbox. No DB required. Use when asked to find unanswered messages, missed messages, people waiting for a response, or to log a new incoming message.

Unanswered Messages (File-Based)

Tracks messages sent to Heleni that haven't been replied to yet. No DB required — uses /opt/ocana/openclaw/workspace/inbox/pending.json.


File Structure

/opt/ocana/openclaw/workspace/inbox/pending.json:

{
  "version": 1,
  "messages": [
    {
      "id": "MSG_ID",
      "ts": "2026-04-01T14:30:00Z",
      "chat_id": "+972XXXXXXXXX",
      "chat_name": "Netanel",
      "chat_type": "direct",
      "sender_name": "Netanel",
      "sender_phone": "+972XXXXXXXXX",
      "body": "message text...",
      "answered": false,
      "answered_at": null
    }
  ]
}

1. Log an Incoming Message

When a message arrives that needs a response, add it to the file:

import json, datetime

INBOX = "/opt/ocana/openclaw/workspace/inbox/pending.json"

with open(INBOX) as f:
    data = json.load(f)

data["messages"].append({
    "id": "<message_id>",
    "ts": datetime.datetime.utcnow().isoformat() + "Z",
    "chat_id": "<chat_id>",
    "chat_name": "<chat_name>",
    "chat_type": "direct",  # or "group"
    "sender_name": "<sender_name>",
    "sender_phone": "<sender_phone>",
    "body": "<message body, max 300 chars>",
    "answered": False,
    "answered_at": None
})

with open(INBOX, "w") as f:
    json.dump(data, f, indent=2)

2. Mark a Message as Answered

After replying, mark it done:

import json, datetime

INBOX = "/opt/ocana/openclaw/workspace/inbox/pending.json"

with open(INBOX) as f:
    data = json.load(f)

for msg in data["messages"]:
    if msg["id"] == "<message_id>":
        msg["answered"] = True
        msg["answered_at"] = datetime.datetime.utcnow().isoformat() + "Z"

with open(INBOX, "w") as f:
    json.dump(data, f, indent=2)

3. Find Unanswered Messages

import json
from datetime import datetime, timedelta, timezone

INBOX = "/opt/ocana/openclaw/workspace/inbox/pending.json"
MAX_AGE_HOURS = 24  # ignore very old messages

with open(INBOX) as f:
    data = json.load(f)

cutoff = datetime.now(timezone.utc) - timedelta(hours=MAX_AGE_HOURS)
unanswered = [
    m for m in data["messages"]
    if not m["answered"]
    and datetime.fromisoformat(m["ts"].replace("Z", "+00:00")) > cutoff
]

for m in sorted(unanswered, key=lambda x: x["ts"]):
    ts = datetime.fromisoformat(m["ts"].replace("Z", "+00:00")).strftime("%d/%m %H:%M")
    print(f"📩 {m['sender_name']} | {m['chat_name']} | {ts}")
    print(f"   > {m['body'][:100]}")
    print(f"   Message ID: {m['id']}")

4. Cleanup — Remove Old Answered Messages

Run periodically (e.g. weekly via heartbeat) to keep the file small:

import json
from datetime import datetime, timedelta, timezone

INBOX = "/opt/ocana/openclaw/workspace/inbox/pending.json"

with open(INBOX) as f:
    data = json.load(f)

cutoff = datetime.now(timezone.utc) - timedelta(days=7)
data["messages"] = [
    m for m in data["messages"]
    if not m["answered"]
    or datetime.fromisoformat(m["ts"].replace("Z", "+00:00")) > cutoff
]

with open(INBOX, "w") as f:
    json.dump(data, f, indent=2)

print(f"Kept {len(data['messages'])} messages")

Heartbeat Integration

During heartbeat, check for unanswered messages from the last 2 hours:

import json
from datetime import datetime, timedelta, timezone

INBOX = "/opt/ocana/openclaw/workspace/inbox/pending.json"

with open(INBOX) as f:
    data = json.load(f)

cutoff = datetime.now(timezone.utc) - timedelta(hours=2)
unanswered = [
    m for m in data["messages"]
    if not m["answered"]
    and datetime.fromisoformat(m["ts"].replace("Z", "+00:00")) > cutoff
]

if unanswered:
    # Alert Netanel or handle inline
    for m in unanswered:
        print(f"⚠️ לא ענינו ל-{m['sender_name']}: {m['body'][:80]}")

Add this check to HEARTBEAT.md under "Heartbeat Checks".


Output Format

Report unanswered messages as:

  • 📩 [sender_name] | [chat_name] | [DD/MM HH:MM]

> [body preview, max 100 chars] > Message ID: [message_id]

Group by chat if multiple from same conversation.


Notes

  • ❌ No DB, no tunnel, no psql — pure file I/O
  • ✅ Works offline, works on AWS without Mac tunnel
  • Inbox file: /opt/ocana/openclaw/workspace/inbox/pending.json
  • Currently: messages are logged manually when Heleni decides to track them
  • Future: hook into inbound message handler to auto-log

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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安装前确认

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