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Agent Skill · 研究检索

openclaw-new-digest(OpenClaw NEW digest 搜索)

openclaw-new-digest 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。

openclaw-new-digest 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;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 14,792。

总安装 8,299周安装 339GitHub Stars 公开资料未说明下载 2,685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
0.1.0

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:openclaw-new-digest(OpenClaw NEW digest 搜索)
来源仓库:https://github.com/hzlvv/openclaw-new-digest
安装命令:
openclaw skills install openclaw-new-digest
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 openclaw-new-digest

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。

OpenClaw new digest 是多时隙新闻聚合与推送系统,支持自定义主题与关键词。时间表与内容源由 config.json 定义,可从 Twitter 等渠道聚合资讯。适合定时获取特定领域动态并自动摘要推送。通过 clawhub 安装后编辑配置文件启动服务。使用前请验证 API 密钥有效性及相关平台访问权限。

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 openclaw-new-digest;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

openclaw-new-digest 怎么安装?

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

openclaw-new-digest 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。

openclaw-new-digest 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

openclaw-new-digest 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。

openclaw-new-digest 用的人多吗?

公开数据是累计安装 8,299 次,近一周安装 339 次,下载 2,685 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。

openclaw-new-digest 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。

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。

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
openclaw-new-digest

OpenClaw NEW digest 搜索 · 本页

8,299—调用外部服务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
news-digest
description
User-configurable multi-slot news aggregation and push system. Schedule, topics, and keywords are defined by the user via config.json. Aggregates from Twitter, Hacker News, Tavily, filters by influence, summarizes, stores locally, supports feedback iteration.
metadata
{"clawdbot":{"emoji":"📰","requires":{"bins":["node"],"env":["TAVILY_API_KEY","XPOZ_API_KEY"]},"primaryEnv":"TAVILY_API_KEY"}}

News Digest

AI-assisted news aggregation and push system with user-defined schedule and topics. The agent fetches content from Twitter (Xpoz MCP), Hacker News, and Tavily Search, then filters, summarizes, and delivers via Feishu/Telegram. This is an agent-driven workflow — the agent is the executor, triggered manually or by cron.

First-Time Setup (IMPORTANT)

Before executing any push, check if a configuration exists:

node {baseDir}/scripts/manage-config.mjs show

If the output says "No Configuration Found", you MUST ask the user to set up their schedule before proceeding. Do NOT use hardcoded defaults without user consent.

Setup Conversation Flow

Ask the user these questions one by one:

  1. "你希望每天推送几次?" — Determine the number of daily push slots (typical: 2-4).
  2. For each slot, ask:

- "第 N 个推送的时间是?" (e.g. 08:00, 12:00, 18:00) - "这个时段的主题/方向是什么?" (e.g. 金融, AI/Agent, 综合热点) - "这个主题的标签名称?" (e.g. 金融早报, AI午报, 晚间热点) - "关键词有哪些?" (comma-separated) - "优先级规则?" (e.g. crypto > 金融事件 > 美股)

  1. "需要调整默认设置吗?" — Summary length (default: 100-300 chars), language (default: zh-CN), items per push (default: 3-10), time window (default: 24h).

Save Each Slot

After collecting user preferences, save each slot:

node {baseDir}/scripts/manage-config.mjs set-slot \
  --name <slot_name> \
  --time <HH:MM> \
  --topic "<topic>" \
  --label "<display_label>" \
  --keywords "<kw1,kw2,kw3>" \
  --priority "<priority_rules>" \
  --sources "twitter,tavily,hackernews"

Example:

node {baseDir}/scripts/manage-config.mjs set-slot --name morning --time 08:00 --topic "Finance" --label "金融早报" --keywords "crypto,bitcoin,ethereum,finance,stock" --priority "crypto > financial events > US stocks" --sources "twitter,tavily,hackernews"

Update Defaults (Optional)

node {baseDir}/scripts/manage-config.mjs set-defaults --summary-language en --items-per-push "5-15"

Quick-Init with Defaults

If the user is okay with the standard 3-slot setup (08:00 Finance, 12:00 AI, 18:00 General):

node {baseDir}/scripts/manage-config.mjs init

Verify

node {baseDir}/scripts/manage-config.mjs show

Quick Start (After Config Exists)

Manual push — just tell the agent:

"Execute the news digest push for [slot_name]"

Scheduled push — set up cron entries matching your config (see references/setup-guide.md):

# Example — adjust times and slot names to match YOUR config
0 8 * * *  /path/to/news-digest-1.0.0/scripts/cron-trigger.sh --slot morning
0 12 * * * /path/to/news-digest-1.0.0/scripts/cron-trigger.sh --slot noon
0 18 * * * /path/to/news-digest-1.0.0/scripts/cron-trigger.sh --slot evening

The cron-trigger.sh script reads config.json for slot definitions, loads .env, and spawns an OpenClaw session.

Check environment:

node {baseDir}/scripts/env-check.mjs

Configuration Management

# View current config
node {baseDir}/scripts/manage-config.mjs show

# Add or update a slot
node {baseDir}/scripts/manage-config.mjs set-slot --name <name> --time <HH:MM> --topic <topic> --label <label> --keywords <kw>

# Remove a slot
node {baseDir}/scripts/manage-config.mjs remove-slot --name <name>

# Update defaults
node {baseDir}/scripts/manage-config.mjs set-defaults --summary-length "100-300"

# Reset to factory defaults
node {baseDir}/scripts/manage-config.mjs reset

The user can change their schedule at any time. Just re-run set-slot or remove-slot and update cron accordingly.

Workflow

For each push slot, follow these steps in order. Read the slot's configuration first.

Step 0: Load Slot Configuration

node {baseDir}/scripts/manage-config.mjs show

Identify the target slot from the output: its topic, keywords, priority, sources, and influence_thresholds. All subsequent steps use these values — do NOT use hardcoded topics or keywords.

Step 1: Check Previous Feedback

node {baseDir}/scripts/query.mjs feedback --days 3

Review recent feedback and adjust your filtering/summarization strategy accordingly.

Step 2: Fetch Data from All Sources

Use the slot's keywords and sources from config. Run in parallel:

Hacker News (if hackernews in sources):

node {baseDir}/scripts/fetch-hackernews.mjs "<keywords joined with OR>" --min-score <hackernews_score from config> --hours <time_window_hours from defaults> -n 20

Tavily Search (if tavily in sources):

node {baseDir}/scripts/fetch-tavily.mjs "<keywords as search query>" --topic news --days 1 -n 10

Run multiple Tavily queries if the slot has diverse keywords — e.g. one for high-priority keywords, one for secondary.

Twitter via Xpoz MCP (if twitter in sources and XPOZ_API_KEY is set):

Use the Xpoz MCP tool xpoz_search_tweets with the slot's keywords. Filter by min_likes > <twitter_likes from config>. If XPOZ_API_KEY is not configured, skip and rely on other sources.

Step 3: Deep-Read Key Articles (Optional)

For articles with thin summaries, extract full content:

node {baseDir}/scripts/extract-tavily.mjs "https://example.com/article1" "https://example.com/article2"

Step 4: Filter & Select

Apply these rules, using thresholds from the slot's config:

  1. Time window: Only content within the configured time_window_hours (default: 24h).
  2. Influence threshold: Use influence_thresholds from the slot config.
  3. Topic match: Content must match the slot's topic and keywords. Use priority to rank.
  4. Deduplication: Same event from different outlets counts as one.
  5. Count: Select items within the items_per_push range from config defaults.

Step 5: Summarize Each Item

For each selected item:

  • Do NOT copy the original text verbatim. Read and distill.
  • Length: Use summary_length from config defaults (default: 100-300 chars).
  • Language: Use summary_language from config defaults (default: zh-CN).
  • Structure: Event overview → Key data/viewpoints → Potential impact.

Step 6: Format the Push

【{slot.label}】{time} 推送

1. [{category}] {title}(来源:{source})
   {summary}
   🔗 {url}

2. [{category}] {title}(来源:{source})
   {summary}
   🔗 {url}

...

---
📊 本次用量:Tavily Search ×{n} | Tavily Extract ×{n} | HN ×{n} | Xpoz ×{n}
💬 如有反馈,请直接回复。

Use the label field from the slot config as the topic label.

Last slot of the day extra: For the last scheduled slot in the config, append a monthly API usage forecast:

node {baseDir}/scripts/track-usage.mjs forecast

Step 7: Track Usage & Store the Push

Count your API calls during steps 2-3:

  • fetch-tavily.mjs = +1 tavily_search
  • extract-tavily.mjs = +1 tavily_extract per URL batch
  • fetch-hackernews.mjs = +1 hackernews
  • Xpoz MCP tool call = +1 xpoz

Include the counts in the usage field when storing:

echo '{
  "slot": "<slot_name>",
  "topic": "<slot_topic>",
  "keywords": ["<from config>"],
  "items": [
    {
      "source": "twitter",
      "category": "crypto",
      "title": "Bitcoin hits new high",
      "url": "https://...",
      "author": "@example",
      "influence_score": 1520,
      "raw_excerpt": "Original excerpt...",
      "summary": "Your summary...",
      "metadata": {"likes": 1520, "retweets": 340}
    }
  ],
  "usage": {
    "tavily_search": 2,
    "tavily_extract": 1,
    "hackernews": 1,
    "xpoz": 1
  }
}' | node {baseDir}/scripts/store-push.mjs

This automatically persists usage data to data/usage/YYYY-MM.json.

You can also record usage separately:

node {baseDir}/scripts/track-usage.mjs record --slot <name> --tavily-search 2 --tavily-extract 1 --hackernews 1 --xpoz 1

Step 8: Deliver the Push

Send the formatted push content through OpenClaw's built-in messaging (Feishu or Telegram, as configured by the user).

Step 9: Handle Feedback

When a user provides feedback (free text), record it:

node {baseDir}/scripts/add-feedback.mjs --date 2026-03-06 --slot <name> "feedback text"

# Feedback on a specific item
node {baseDir}/scripts/add-feedback.mjs --date 2026-03-06 --slot <name> --item-id item-001 "this summary is too brief"

When a user asks to modify the schedule or topics, use manage-config.mjs:

# Change a slot's time
node {baseDir}/scripts/manage-config.mjs set-slot --name morning --time 07:30

# Change keywords
node {baseDir}/scripts/manage-config.mjs set-slot --name morning --keywords "crypto,defi,bitcoin,ethereum"

# Add a new slot
node {baseDir}/scripts/manage-config.mjs set-slot --name afternoon --time 15:00 --topic "Markets" --label "盘后速递" --keywords "stocks,earnings,markets"

# Remove a slot
node {baseDir}/scripts/manage-config.mjs remove-slot --name evening

Query History

# View a specific push
node {baseDir}/scripts/query.mjs pushes --date 2026-03-06 --slot <name>

# View all pushes for a date
node {baseDir}/scripts/query.mjs pushes --date 2026-03-06

# View feedback
node {baseDir}/scripts/query.mjs feedback --date 2026-03-06 --slot <name>

# Search by keyword across recent pushes
node {baseDir}/scripts/query.mjs search --keyword "bitcoin" --days 7

API Usage Tracking

# Today's usage breakdown by slot
node {baseDir}/scripts/track-usage.mjs today

# Current month's total usage
node {baseDir}/scripts/track-usage.mjs monthly

# Monthly forecast
node {baseDir}/scripts/track-usage.mjs forecast

Usage is recorded automatically when store-push.mjs receives a usage field.

Feedback Iteration Strategy

Before each push, review feedback from the past 3 days. Adjust behavior based on patterns:

Feedback PatternAdjustment
"Too brief" on summariesIncrease summary detail, aim for upper end of summary_length
"More about X topic"Add X-related keywords via manage-config.mjs set-slot
"Less about Y"Remove or deprioritize Y keywords
"Timing too early/late"Update slot time via manage-config.mjs set-slot --name <name> --time <HH:MM>
"Wrong category"Refine topic matching rules
"Liked this item"Boost similar content sources/authors

Environment Variables

VariableRequiredDescription
TAVILY_API_KEYYesTavily Search API key. Get from https://tavily.com
XPOZ_API_KEYRecommendedXpoz MCP service key. If missing, Twitter source is skipped gracefully.
NEWS_DIGEST_DATA_DIRNoData storage directory. Default: {baseDir}/data/

Notes

  • All scripts output Markdown for easy parsing.
  • Scripts use only Node.js built-in APIs (no npm dependencies).
  • Tavily search and extract are built into this skill — no need to install tavily-search separately.
  • If Xpoz MCP is unavailable, degrade gracefully by relying on Tavily + HN.
  • Store every push for traceability. Never skip the storage step.
  • Feedback is the primary mechanism for quality improvement. Always check before pushing.
  • Schedule and topics are user-defined. Always read config before pushing. Never assume slots exist.

平台分布

OpenClaw

78.09%
按下载量换算2,097

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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