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community-intel社区情报

Agent Skill

community-intel 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

11,096

周安装

467

GitHub Stars

公开资料未说明

下载量

3,885
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:community-intel(社区情报)
来源仓库:https://github.com/npfaerber/community-intel
安装命令:
openclaw skills install community-intel
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 community-intel

简介

自动收集 Reddit、Hacker News、Twitter/X 等平台对项目的提及。

  • 适合监控产品口碑、竞品动态或用户反馈趋势。
  • 支持情感分析与热度评估,输出结构化情报摘要。
  • 安装命令:openclaw skills install community-intel。
  • 依赖外部 API 可用性,可能存在速率限制或数据延迟。

SKILL.md

name
community-intel
description
Automated community intelligence gathering for any open-source project or product. Searches Reddit, Hacker News, Twitter/X, GitHub, and YouTube for mentions, use cases, tips, complaints, and trends. Compiles findings into structured reports. Use when you want to monitor community sentiment, track adoption, discover use cases, or stay on top of ecosystem developments around a project.

Community Intel

Automated community intelligence gathering and trend monitoring for open-source projects and products.

Requirements

  • Web search and fetch capabilities (web_search, web_fetch tools)
  • Optional: Discord channel for posting reports (message tool)
  • Optional: Email integration for delivering reports (AgentMail, Resend, or any email skill)

How It Works

Run as a nightly or weekly cron job. The agent searches multiple platforms for mentions of a target project/product, reads full threads, and compiles a structured intelligence report. Over time, it learns which sources are productive and adjusts accordingly.

Configuration

Set these in your cron message or workspace config:

PROJECT_NAME: "YourProject"
SEARCH_TERMS: ["yourproject", "your-project", "YourProject"]
SUBREDDITS: ["r/yourproject", "r/selfhosted", "r/programming"]
INTEL_FILE: "memory/project-intel.md"       # cumulative findings log
DISCORD_CHANNEL: ""                          # optional: channel ID for posting
EMAIL_TO: ""                                 # optional: email for delivery

Research Sources

Primary (search every run)

SourceWhat to searchBest for
RedditProject subreddit + related subsUse cases, complaints, tips
Hacker Newssite:news.ycombinator.com + project nameTechnical discussion, launches
GitHubIssues, discussions, new reposBug reports, feature requests, forks
Twitter/XProject name + hashtagsViral moments, announcements

Secondary (rotate or check weekly)

SourceWhat to searchBest for
YouTubeProject name + "tutorial" / "review"Adoption trends, developer content
Blog postsMedium, Substack, dev.toDeep dives, experience reports
Product HuntLaunches building on the projectEcosystem growth
Academic papersArXiv, Google ScholarResearch using/studying the project

OpenClaw Cron Setup

Add via CLI:

openclaw cron add \
  --name "Community Intel" \
  --schedule "45 22 * * *" \
  --tz "America/Chicago" \
  --session-target isolated \
  --timeout 600 \
  --message "$(cat <<'EOF'
You are doing community research for [PROJECT_NAME].

Search for mentions across Reddit, Twitter/X, Hacker News, GitHub, and YouTube.
Look for: interesting use cases, creative integrations, tips and tricks,
new tools, complaints, security issues, and feature requests.

Steps:
1. Read [INTEL_FILE] for context on past findings and best sources
2. Search each platform for [SEARCH_TERMS]
3. Go deep -- read full threads, follow links, check comments
4. Compile findings into a structured summary
5. Append findings to [INTEL_FILE] with today's date and run number
6. Post summary to Discord channel [DISCORD_CHANNEL] (if configured)
7. Rate each source 1-3 stars based on today's yield

Be thorough. Quality over speed. If a source has nothing new, note that
so we can deprioritize it over time.
EOF
)"

Or add via config.patch:

{
  "cron": [{
    "name": "Community Intel",
    "schedule": "45 22 * * *",
    "tz": "America/Chicago",
    "sessionTarget": "isolated",
    "timeout": 600,
    "message": "You are doing community research for [PROJECT_NAME]..."
  }]
}

Report Format

Each run produces a report in this structure:

### YYYY-MM-DD (run N) -- Research Run

**Headline:** [one-line summary of biggest findings]

**🔥 Cool Use Cases**
- [Description with source link]

**💡 Tips & Tricks**
- [Practical discovery with details]

**🛠️ New Tools / Integrations**
- [New project, tool, or integration discovered]

**📢 Community Buzz**
- [Sentiment, complaints, praise, trends]

**🔒 Security / Risks**
- [Any security findings, vulnerabilities, concerns]

**📊 Source Quality**
- Reddit: ⭐⭐⭐ (active discussions)
- HN: ⭐⭐ (one thread)
- Twitter: ⭐ (quiet day)
- YouTube: ⭐⭐⭐ (new tutorials)

Intel File Structure

Maintain a cumulative intel file (INTEL_FILE) with three sections:

# [PROJECT_NAME] Intel

## Best Sources (updated YYYY-MM-DD, run N)
- **Reddit** ⭐⭐⭐ -- Active community, good use cases
- **Hacker News** ⭐⭐ -- Occasional deep technical threads
- **GitHub** ⭐⭐ -- Steady issue flow
- **Twitter/X** ⭐ -- Mostly retweets, low signal
- **YouTube** ⭐⭐⭐ -- Tutorial explosion lately

## Community Resources Discovered
- [tool-name](url) -- Description
- [directory-site](url) -- Curated list of projects

## Findings Log
### YYYY-MM-DD (run N)
... (newest first, oldest at bottom)

The agent reads this file at the start of each run to:

  • Know which sources to prioritize
  • Avoid reporting duplicate findings
  • Track trends over time ("X was a complaint in run 5, fixed by run 12")

Research Techniques

Search query patterns that work well:

  • "project-name" site:reddit.com -- Reddit mentions
  • "project-name" site:news.ycombinator.com -- HN threads
  • "project-name" tutorial OR guide OR setup -- How-to content
  • "project-name" vs OR alternative OR competitor -- Competitive landscape
  • "project-name" security OR vulnerability OR CVE -- Security issues
  • "project-name" after:YYYY-MM-DD -- Only recent results

Reading threads effectively:

  • Don't stop at the title. The real insights are in comment replies.
  • Look for upvote counts -- high-upvote comments often contain the most useful info.
  • Check who's commenting. Maintainers, power users, and industry people carry more signal.
  • Note when the same complaint appears across multiple platforms -- that's a real issue.

Tips

  • Quality over speed. Read full threads, don't just skim titles.
  • Track source quality. Rate each source 1-3 stars per run. Deprioritize sources that consistently yield nothing.
  • Note sentiment shifts. "People used to complain about X, now they praise it" is valuable signal.
  • Flag security issues immediately. Don't wait for the next scheduled run.
  • Keep the findings log trimmed. Archive entries older than 30 days to a separate file to keep the intel file under 100KB.
  • Search variations. Try the project name with and without hyphens, abbreviations, and common misspellings.
  • Track run numbers. Increment each run so you can reference "this was first spotted in run 14" for trend tracking.

适合场景

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用户想查找某类 Agent Skill 时

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需要根据任务场景推荐可安装能力包时

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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

89.62%
按下载量换算3,482

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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