ClawRadar — Real-Time Trend Monitor for OpenClaw

Monitors AI, indie hacking, and entrepreneurship trends on X and Reddit in real-time, scoring viral posts for timely Telegram alerts with engagement insights.

Security Scan

The skill's instructions describe active monitoring and posting on X/Reddit and sending Telegram alerts, but the package declares no credentials, no install, and no code — the pieces don't line up and the skill needs more detail before you should trust it.

Purpose & Capability

The description and SKILL.md expect continuous monitoring of X and Reddit and delivery of Telegram alerts (and even posting replies/threads), but the skill declares no required environment variables or credentials (e.g., X/Twitter OAuth, Reddit client, Telegram bot token) and no install or binaries. That mismatch suggests either the SKILL.md is incomplete or the skill expects the agent to use unprivileged scraping or the user's session — none of which is documented or justified.

Instruction Scope

Runtime instructions tell the agent to 'open the URL', 'read the content + top replies', and to 'post' replies/threads using templates, and reference a config path (clawradar/radar.py). Those actions imply reading local files and interacting with external services on behalf of the user. The SKILL.md does not document how to authenticate, what network endpoints are used, or whether the agent should use the user's accounts, which grants broad, ambiguous discretion.

Install Mechanism

There is no install spec and no code files — instruction-only — so nothing will be written to disk by an installer. This is low-risk from an install perspective, but increases the importance of the instruction content because that's the entire attack surface.

Credentials

The skill would reasonably require service credentials (Telegram bot token/chat id, X/Twitter API keys or cookie/session, Reddit API credentials) and possibly a local config file, but it declares none. Requiring no environment variables while instructing posting and alerting is disproportionate and opaque — it fails to justify or declare the secrets it will need.

Persistence & Privilege

always is false and the skill is not force-installed. However, the SKILL.md instructs autonomous behaviors (monitoring, alerting, and posting). If you allow autonomous invocation, a coherent implementation would need account credentials and posting privileges — combine autonomous invocation with undeclared posting permissions raises risk. The skill does reference a local config path (clawradar/radar.py) without declaring it in required config paths.

Scan Findings in Context

[no_scan_findings] expected: The regex-based scanner found nothing to analyze because this is an instruction-only skill (no code files). That is consistent with the package contents, but does not excuse the SKILL.md's missing documentation about credentials and file usage.

What to consider before installing

Do not install or enable this skill until the author clarifies how it accesses X/Twitter, Reddit, and Telegram. Specifically: ask for the source repository or homepage; require explicit documentation of which credentials are needed (e.g., TELEGRAM_BOT_TOKEN and CHAT_ID, X API/OAuth keys or scraping method, Reddit client_id/secret) and where they are stored; confirm whether the skill will post on your behalf and what account it will use; insist the skill list all file paths it will read or write (the SKILL.md references clawradar/radar.py); and request a minimal, auditable implementation (or run it in a sandbox) before granting network or credential access. If you permit autonomous invocation, consider disabling it until you have verified credentials and code, since an autonomous skill that can post on social accounts has a high blast radius.

ClawRadar — Real-Time Trend Monitor

Skill for OpenClaw | Version 1.0.0

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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.

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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.

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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

Score	Meaning	Action
80–100	🔥🔥🔥🔥🔥 Critical trend	Act immediately — post a reply/thread NOW
65–79	🔥🔥🔥🔥 Hot signal	Strong opportunity — draft a response within 30 min
55–64	🔥🔥🔥 Worth watching	Good signal — engage if you have something genuine to add
<55	Below threshold	Not alerted

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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.

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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

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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]

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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),
],

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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"

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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().

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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.

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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

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