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Agent Skill · 研究检索

heleni-whatsapp(heleni WhatsApp 搜索)

heleni-whatsapp 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。

heleni-whatsapp 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 26,490。

总安装 3,560周安装 144GitHub Stars 公开资料未说明下载 1,117核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.0

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:heleni-whatsapp(heleni WhatsApp 搜索)
来源仓库:https://github.com/netanel-abergel/heleni-whatsapp
安装命令:
openclaw skills install heleni-whatsapp
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 heleni-whatsapp

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

提供完整的 WhatsApp 对话管理与消息跟踪功能。支持群组与私信记忆、未读消息提醒及多 PA 协调。防止循环回复并维护对话上下文,提升交互连续性。使用前需确认是否具备消息读取与发送的合法权限。建议查阅原始文档了解集成方式与安全限制。

heleni-whatsapp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install heleni-whatsapp;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

heleni-whatsapp 怎么安装?

在终端执行 openclaw skills install heleni-whatsapp。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

heleni-whatsapp 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

heleni-whatsapp 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

heleni-whatsapp 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

heleni-whatsapp 用的人多吗?

公开数据是累计安装 3,560 次,近一周安装 144 次,下载 1,117 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

heleni-whatsapp 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
heleni-whatsapp

heleni WhatsApp 搜索 · 本页

3,560—只读MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
heleni-whatsapp
description
Complete WhatsApp management for OpenClaw agents: per-conversation memory (groups + DMs), unanswered message tracking, loop prevention, and multi-PA coordination. Use when: tracking conversation context, recalling past decisions, finding unanswered messages, or preventing echo/duplicate message loops.

WhatsApp Skill

Covers two responsibilities in one skill:

  1. Per-conversation memory — separate context files per group and DM
  2. Unanswered message tracking — file-based inbox, no DB required

Load Local Context

CONTEXT_FILE="/opt/ocana/openclaw/workspace/skills/heleni-whatsapp/.context"
[ -f "$CONTEXT_FILE" ] && source "$CONTEXT_FILE"
# Then use: $OWNER_PHONE, $JID_CORE_TEAM, $INBOX_FILE, etc.

Minimum Model

Any model. All operations are file-based. No reasoning required. Use a medium+ model only when deciding *what* is worth logging.


Directory Structure

memory/
  whatsapp/
    groups/
      YOUR_GROUP_JID-sanitized/    ← sanitized JID
        meta.json                 ← group name, JID, participants
        context.md                ← running conversation context
        decisions.md              ← key decisions
        people.md                 ← who participates and their role
    dms/
      972XXXXXXXXX/               ← sanitized phone number
        meta.json                 ← name, phone, relationship
        context.md                ← running DM context
        notes.md                  ← tasks, preferences, important facts

inbox/
  pending.json                    ← unanswered message tracking

Production Behavioral Rules (MANDATORY)

Reaction Protocol

  • React 👍 immediately when receiving a task message in DM from owner — before starting work
  • React ✅ when task is complete
  • 👎 from owner = poor result — fix and log lesson

"my pleasure / you're welcome" Rule

  • When anyone says "thank you" → always reply "my pleasure / you're welcome" (no exceptions)

Silence Rules (NO_REPLY)

  • Casual acks from PAs: 👍, "got it", "thank you", "noted" → NO_REPLY unless directly asked
  • Echo prevention: if sender is your own agent/number → NO_REPLY immediately
  • In groups: only respond if directly addressed or you add genuine value

Memory Write Rule

  • After every significant interaction → write to appropriate memory file:

- Group: memory/whatsapp/groups/<JID-sanitized>/context.md - DM: memory/whatsapp/dms/<PHONE-sanitized>/context.md

  • Sanitize: replace @, ., + with -
  • What to log: tasks assigned, decisions made, important context
  • What NOT to log: casual greetings, short acks, duplicates

⚠️ CONTEXT RULE (MANDATORY — every conversation)

After every significant exchange — incoming OR outgoing — create or update the DM context file. This is not optional. Sessions restart constantly. Without a context file, you have zero memory of who this person is or what was discussed.

Triggers:

  • You send a message to someone → write context immediately
  • Someone messages you → read existing context first, then update after replying
  • Decision made / task assigned / status changed → update context

Template:

mkdir -p memory/whatsapp/dms/<PHONE>/
# Write to memory/whatsapp/dms/<PHONE>/context.md:
# Name, role, last interaction date, what was discussed, current status

No exceptions. Every DM = a context file.


Part 1: Conversation Memory

Setup

init_whatsapp_memory() {
  TYPE="$1"       # "group" or "dm"
  ID="$2"         # JID or phone number
  NAME="$3"       # Human-readable name

  SAFE_ID=$(echo "$ID" | tr '@.+' '---')

  if [ "$TYPE" = "group" ]; then
    DIR="$HOME/.openclaw/workspace/memory/whatsapp/groups/$SAFE_ID"
    mkdir -p "$DIR"
    cat > "$DIR/meta.json" << EOF
{"type": "group", "jid": "$ID", "name": "$NAME", "created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"}
EOF
    touch "$DIR/context.md" "$DIR/decisions.md" "$DIR/people.md"
  else
    DIR="$HOME/.openclaw/workspace/memory/whatsapp/dms/$SAFE_ID"
    mkdir -p "$DIR"
    cat > "$DIR/meta.json" << EOF
{"type": "dm", "phone": "$ID", "name": "$NAME", "created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"}
EOF
    touch "$DIR/context.md" "$DIR/notes.md"
  fi

  echo "Initialized WhatsApp memory: $NAME"
}

# Examples:
# init_whatsapp_memory "group" "YOUR_GROUP_JID@g.us" "PA Team"
# init_whatsapp_memory "dm" "+PHONE_NUMBER" "Contact Name"

Writing Memory

wa_log() {
  TYPE="$1"                        # "group" or "dm"
  ID="$2"                          # JID or phone
  CONTENT="$3"                     # what to log
  FILE_NAME="${4:-context.md}"     # context.md / decisions.md / notes.md

  SAFE_ID=$(echo "$ID" | tr '@.+' '---')
  BASE="$HOME/.openclaw/workspace/memory/whatsapp"

  if [ "$TYPE" = "group" ]; then
    FILE="$BASE/groups/$SAFE_ID/$FILE_NAME"
  else
    FILE="$BASE/dms/$SAFE_ID/$FILE_NAME"
  fi

  if [ ! -f "$FILE" ]; then
    mkdir -p "$(dirname "$FILE")"
    touch "$FILE"
  fi

  echo "[$(date -u +%Y-%m-%d\ %H:%M)] $CONTENT" >> "$FILE"
}

Reading Memory

wa_context() {
  TYPE="$1"
  ID="$2"
  LINES="${3:-20}"

  SAFE_ID=$(echo "$ID" | tr '@.+' '---')
  BASE="$HOME/.openclaw/workspace/memory/whatsapp"

  if [ "$TYPE" = "group" ]; then
    DIR="$BASE/groups/$SAFE_ID"
  else
    DIR="$BASE/dms/$SAFE_ID"
  fi

  if [ ! -d "$DIR" ]; then
    echo "No memory for this conversation yet."
    return
  fi

  NAME=$(python3 -c "
import json
with open('$DIR/meta.json') as f:
    print(json.load(f).get('name', '?'))
" 2>/dev/null || echo "?")

  echo "=== $NAME ==="
  echo "--- Recent ---"
  tail -"$LINES" "$DIR/context.md" 2>/dev/null || echo "(empty)"
  echo "--- Notes/Decisions ---"
  cat "$DIR/notes.md" "$DIR/decisions.md" 2>/dev/null | tail -10 || echo "(none)"
}

Search Across All Memory

wa_search() {
  QUERY="$1"
  BASE="$HOME/.openclaw/workspace/memory/whatsapp"

  echo "Searching WhatsApp memory for: '$QUERY'"
  grep -r "$QUERY" "$BASE" --include="*.md" -l 2>/dev/null | while read file; do
    DIR=$(dirname "$file")
    NAME=$(python3 -c "
import json
with open('$DIR/meta.json') as f:
    print(json.load(f).get('name', '?'))
" 2>/dev/null || echo "?")
    echo "Found in: $NAME"
    grep -n "$QUERY" "$file" | head -3
    echo ""
  done
}

What to Log

FileUse for
context.mdOngoing conversation events, tasks assigned
decisions.mdAgreed outcomes, group decisions
people.mdWho's in the group, their role/style
notes.mdDM tasks, owner preferences, follow-ups

Never log: casual greetings, duplicate info, credentials.

Before Responding — Inject Context

1. Extract JID or phone from inbound metadata
2. If group: run wa_context "group" "$JID" 10
   If DM:    run wa_context "dm" "$PHONE" 10
3. Use context to inform your response
4. After responding: log anything worth remembering

Part 2: Unanswered Message Tracking

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

File Structure

{
  "version": 1,
  "messages": [
    {
      "id": "MSG_ID",
      "ts": "2026-04-02T10:00:00Z",
      "chat_id": "+972XXXXXXXXX",
      "chat_name": "Owner",
      "chat_type": "direct",
      "sender_name": "Owner",
      "sender_phone": "+972XXXXXXXXX",
      "body": "message text...",
      "answered": false,
      "answered_at": null
    }
  ]
}

Log an Incoming Message

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)

Mark as Answered

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)

Find Unanswered (Last 24h)

import json
from datetime import datetime, timedelta, timezone

INBOX = "/opt/ocana/openclaw/workspace/inbox/pending.json"
MAX_AGE_HOURS = 24

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]}")

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:
    for m in unanswered:
        print(f"⚠️ No reply to {m['sender_name']}: {m['body'][:80]}")

Cleanup (Weekly)

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)

Loop Prevention Rules (CRITICAL)

Context Isolation

NEVER share information across chat contexts:

  • Internal status updates → send ONLY to owner, NEVER to other contacts
  • Task details from owner's DM → never mention to third parties
  • When replying to person X → do NOT include context from conversation with person Y
  • Progress reports → owner in private DM only
  • ❌ Never write "To Netanel:" or any internal framing inside a message to a third party
  • ❌ Never include the owner's name or intent in outbound messages to PAs or contacts

Close the Loop With the Requester

When the owner asks you to check in with someone:

  • Contact the person ✔️
  • Report back to the owner what they said ✔️
  • ❌ Do NOT swallow the answer — the owner asked because they want to know
  • Always use [[reply_to_current]] when responding to a specific person's message — this is mandatory, not optional
  • ❌ Never respond to a message without [[reply_to_current]] when the context is a specific inbound message

Echo Prevention

Before responding to ANY message, check sender_id from inbound metadata.

  • If sender is your own agent/number → NO_REPLY immediately.

No Duplicate Sends

Before sending to a group or DM:

  • Check if identical message was already sent in this session
  • If yes → skip.

Verify Recipient Before Sending (MANDATORY)

  • Before every send (group or DM), verify the JID/phone against MEMORY.md
  • If JID/phone not found in MEMORY.md → ask before sending, never guess
  • Never infer a JID from a group name alone — look it up
  • When owner says "send to X" → look up X in MEMORY.md contacts/JIDs first
  • ❌ Do NOT send to the first matching name/number that comes to mind

Multi-PA Coordination

  • Only ONE PA should respond to each group message
  • If another PA already responded → stay silent (NO_REPLY)
  • Never impersonate another PA without disclosure
  • Give other PAs time before intervening

Integration

  • Before each response → load context via wa_context
  • After important exchanges → log to context.md / notes.md
  • With git-backup → push after memory updates
  • With owner-briefing → include DM follow-ups in morning briefing
  • Heartbeat → check inbox for unanswered messages every 2h

Cost Tips

  • All memory operations are file reads/writes — no LLM tokens
  • Use tail -10 instead of reading full context files
  • Batch log multiple events before pushing backup
  • Small model OK for all memory operations

Troubleshooting

Use this section when the agent is not responding to WhatsApp messages.

Step 1 — Classify the problem:

  • Dashboard shows "Disconnected" → Connection issue: re-link WhatsApp in OpenClaw settings, scan QR code with WhatsApp Business app. Session expires after ~14 days of inactivity.
  • Dashboard shows "Connected" but Messages = 0 → Ingest issue: run openclaw gateway restart, wait 30s, check if count increments.
  • Messages count increments but no reply → Runtime issue: check billing and API key.

Step 2 — Fix ingest issues (Messages = 0):

openclaw gateway status
openclaw gateway restart
# Wait 30 seconds, then test
openclaw gateway logs --last 50  # Look for: binding failed, session dropped, ingest error

If errors persist → escalate to platform admin (infrastructure issue).

Step 3 — Fix runtime issues (no reply despite incoming messages):

# Check for billing errors
grep -i "billing\|402\|credits" ~/.openclaw/logs/agent.log | tail -20

# Verify API key (expect HTTP 200)
curl -s -o /dev/null -w "%{http_code}" \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  https://api.anthropic.com/v1/models
# 200 = OK | 401 = invalid key | 402 = billing error

Prevention:

  • Send at least one message every 7 days to prevent session expiry
  • Check Messages count during heartbeat to catch ingest issues early
  • Never use the same phone number on two devices simultaneously

When to escalate: Gateway restart doesn't fix Messages = 0, logs show socket/binding/session errors, or multiple agents affected at the same time.

平台分布

OpenClaw

78.59%
按下载量换算878

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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