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clawradarclawradar 搜索

Agent Skill

clawradar 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。

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127

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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:clawradar(clawradar 搜索)
来源仓库:https://github.com/tenlifejosh/clawradar
安装命令:
openclaw skills install clawradar
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

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ClawHubOpenClaw
openclaw skills install clawradar

简介

实时监控 X 和 Reddit 上的人工智能、独立黑客和创业趋势,对病毒式帖子进行评分,以便及时发出 Telegram 警报和参与度见解。

SKILL.md

ClawRadar — Real-Time Trend Monitor

Skill for OpenClaw | Version 1.0.0


What ClawRadar Is

ClawRadar is J's real-time trend intelligence layer. It watches X (Twitter) and Reddit continuously, scoring every post for engagement velocity, freshness, and niche relevance. When something is going viral in the AI/indie hacking/entrepreneurship space, J gets an instant Telegram alert — with context and a ready-made opportunity note.

The strategic insight: The window to ride a trend is 30–90 minutes. After that, the wave has passed and you're just noise. ClawRadar gives you that window, reliably, without manual monitoring.


What It Monitors

X (Twitter)

Searches run on every scan:

  • "AI agent" — catching new tool releases, viral takes
  • "indie hacker" — maker community momentum
  • "AI automation" — workflow/productivity trends
  • "MCP server" — protocol-level AI infrastructure
  • "openclaw" — brand monitoring
  • "SaaS launch" — product launches gaining traction
  • "AI tool launch" — new tools going viral

Reddit Communities

  • r/artificial — general AI discourse, breaking news
  • r/MachineLearning — technical AI trends with research implications
  • r/SideProject — indie projects gaining traction (launch opportunities)
  • r/entrepreneur — business/founder mindset content
  • r/ChatGPT — mainstream AI discourse and viral use cases
  • r/singularity — forward-looking AI discussion

Why These Sources

X is where trends start. Reddit is where they get validated and discussed in depth. Together they cover the full lifecycle: early signal (X) → community validation (Reddit) → mainstream (everywhere else). ClawRadar catches it at stage 1 or 2.


How Scores Work

Composite Score (0–100+)

Score = (engagement_velocity × 0.40) + (freshness × 0.30) + (keyword_relevance × 0.30)

Engagement Velocity (40%):

(likes + 2×retweets + comments) / hours_since_posted A post with 500 likes in 30 minutes scores higher than one with 500 likes over 3 days. RTs count double because they indicate content spread, not just approval.

Freshness (30%):

Linear decay from 100 (just posted) to 0 (2 hours old). Content older than 2 hours gets a freshness score of 0 and is excluded entirely.

Keyword Relevance (30%):

Each niche keyword hit = 10 points, capped at 100. Keywords include: AI, agent, automation, indie, saas, launch, GPT, LLM, Claude, OpenAI, Anthropic, MCP, tool, startup, revenue, and ~20 more.

Score Interpretation

ScoreMeaningAction
80–100🔥🔥🔥🔥🔥 Critical trendAct immediately — post a reply/thread NOW
65–79🔥🔥🔥🔥 Hot signalStrong opportunity — draft a response within 30 min
55–64🔥🔥🔥 Worth watchingGood signal — engage if you have something genuine to add
<55Below thresholdNot alerted

Interpreting Alerts

Alert Anatomy

🚨 TREND RADAR — 2:30 PM MDT        ← when ClawRadar caught it
━━━━━━━━━━━━━━━━━━━━━
📈 VIRAL: "[Post title/tweet]"       ← the content (first 200 chars)

Platform: X | By: @username         ← source and author
Engagement: 4.2K likes, 1.1K RTs    ← raw engagement numbers
in 45min                            ← how long since posted
Relevance: AI tools, indie hacking  ← which niches it hits
Score: 🔥🔥🔥🔥 (82/100)              ← composite score + fire rating
URL: [link]                         ← direct link to engage

💡 Opportunity: [action suggestion]  ← what to do right now
━━━━━━━━━━━━━━━━━━━━━

Reading the Opportunity Note

The opportunity note is auto-generated based on niche tags:

  • AI tools/automation → Thread on @HutchCOO comparing to your builds
  • Indie hacking/SaaS → Build-in-public update or reply with your angle
  • Reddit → Jump into comments for targeted exposure
  • Faith+tech → Engage now and cross-post Prayful context
  • Entrepreneurship → Your story (restaurants → agency → AI) is uniquely relevant

These are starting points — use your judgment. The best engagement is always authentic and specific.


Responding to a Trend

Decision Framework

Act now (score 70+, age <45 min):

  1. Open the URL immediately
  2. Read the content + top replies
  3. Choose your angle (see templates below)
  4. Post within 15 minutes of receiving the alert

Act soon (score 55–70, age <90 min):

  1. Read the content when you can
  2. Post a reply or thread within 60 minutes
  3. Still valuable, just less urgent

Skip if:

  • You don't have a genuine perspective on it
  • You'd just be saying "great point!" with no substance
  • The thread is already 200+ replies deep with no top spots left
  • It conflicts with your brand voice

Content Templates

X Reply Template

[Specific observation about their point]

[Your contrasting or complementary experience]

[One specific thing you're building/doing that's relevant]

[Optional: Question that adds to the conversation]

Example:

The hardest part about AI agents isn't the intelligence — it's the persistence. Getting them to remember context, resume tasks, and not forget everything between sessions. Building this exact problem away with @openclaw. Still hard, but getting there. What's your biggest agent reliability issue?

X Thread Template (for major trends)

Tweet 1: [Hook — the trend or contrarian take]
Tweet 2: [Why this matters / what most people miss]
Tweet 3: [What you're actually doing about it]
Tweet 4: [The result / what you learned]
Tweet 5: [Call to action or question]

Reddit Comment Template

[Acknowledge what OP said specifically]

[Your real experience or data point]

[Relevant project/context without being salesy]

[Question or invitation to discuss]

Adjusting ClawRadar

All config lives in clawradar/radar.py under CONFIG.

Adjust Sensitivity

# More alerts (lower bar):
"score_threshold": 40,

# Fewer, higher-quality alerts:
"score_threshold": 70,

# Catch older but still relevant content:
"max_age_hours": 4,

Add Keywords

"keywords": [
    # Existing...
    "prayful",   # Your app name
    "MFJ",       # MyFirstJob
    "GND",       # Good Neighbor Design
],

Add Niche Keywords (triggers niche filter)

"niche_keywords": [
    # Existing...
    "local business",    # GND niche
    "web design",        # GND niche
    "bible app",         # Prayful niche
],

Add X Searches

"x_searches": [
    # Existing...
    ("local business website", 15),
    ("web design agency", 10),
    ("bible app launch", 10),
],

Add Subreddits

"subreddits": [
    # Existing...
    ("webdev", "hot", 20),
    ("smallbusiness", "hot", 20),
    ("Christianity", "hot", 15),
],

Cron Status

ClawRadar runs every 30 minutes, 7am–11pm Mountain.

# Check cron status:
openclaw cron list

# Run now:
openclaw cron run --name "ClawRadar — Trend Monitor"

# View run history:
openclaw cron runs --name "ClawRadar — Trend Monitor"

Troubleshooting

No Alerts (expected behavior check)

ClawRadar is designed to stay silent when there's nothing notable. Silence = no viral trends in your niche right now. That's correct behavior.

To verify it's running and scoring:

python3 clawradar/radar.py --dry-run --debug --threshold 20

This will show everything it found, scored, and filtered — even content that didn't make the threshold.

Getting Too Many Alerts

# Raise threshold:
"score_threshold": 70,
# Or add more restrictive niche keywords

Getting Too Few Alerts

# Lower threshold:
"score_threshold": 40,
# Add more search queries
# Add more subreddits
# Expand keywords list

X Searches Failing

Verify bird CLI is working:

bird --chrome-profile "Profile 1" search "AI" --count 5 --json

If it fails, the Chrome session may need refreshing. Open Chrome with "Profile 1" and visit X.com to re-authenticate.

Reddit Rate Limiting

Reddit's public JSON API allows ~60 requests/minute. ClawRadar includes 500ms delays between subreddit calls. If you see HTTP 429 errors, increase the delay in fetch_reddit_posts().


Architecture Notes

No external dependencies beyond Python 3.9+ stdlib + bird CLI + openclaw. No API keys, no PRAW, no OAuth flows. Reddit uses the public JSON API (reddit.com/r/subreddit.json). X uses bird CLI (which handles Chrome cookie extraction).

Idempotent — runs safely every 30 minutes. The seen.json tracker ensures you never alert on the same content twice within 48 hours.

Graceful degradation — if X is down, Reddit still runs. If a subreddit errors, the rest continue. No single point of failure.


Logs

# Live tail:
tail -f clawradar/logs/radar.log

# Last 50 lines:
tail -50 clawradar/logs/radar.log

# Count alerts sent today:
grep "Alert sent" clawradar/logs/radar.log | grep $(date +%Y-%m-%d) | wc -l

*ClawRadar v1.0.0 | Part of the Ten Life Creatives operating system | openclaw.ai*

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平台分布

OpenClaw

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可疑

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