openclaw-twitter-monitor_skill

This skill analyzes crypto signals by aggregating KOL tweets, news, RSS, and prices to surface actionable alpha and narratives.

Python

2.5k

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill openclaw-twitter-monitor

_meta.json482 B
README.md14.5 KB
SKILL.md69.8 KB

Overview

This skill is CT Monitor — a crypto intelligence analyst that continuously monitors 5,000+ KOL tweets, real-time news, RSS feeds, and live prices (Binance + DexScreener) to extract Alpha signals and generate actionable briefings. It identifies emerging narratives, flags security risks, and synthesizes multi-source insights into concise intelligence. Designed for traders, researchers, and ops teams seeking fast, signal-first crypto analysis.

How this skill works

CT Monitor ingests historical and real-time tweets, AI-scored news/RSS, and on-chain/price data, then applies signal detection and sentiment scoring to surface high-probability leads. It highlights contract addresses, key dates, numeric KPIs (APY, TVL, price changes), and prioritizes security alerts (hacks/exploits) at the top. Outputs include flash briefings, daily morning reports, trending-token heat rankings, and watchlist management actions.

When to use it

Get a fast market sentiment snapshot (what KOLs and media are saying)
Run token or project research combining KOL views, price moves, and news
Monitor specific KOLs or accounts in real time for breaking alpha
Hunt recent high-frequency alpha signals (last 15 minutes to 6 hours)
Receive daily morning intelligence or hourly flash briefings for trading ops
Detect and escalate security events like exploits, rugs, or phishing campaigns

Best practices

Always cross-reference signals with price and news before acting—signals are prompts, not trade entries
Prioritize items that include contract addresses, key dates, and numeric KPIs for on-chain follow-up
Treat empty API responses as explicit "no data available" and avoid fabricating insights
Use the daily morning brief for strategy setting and flash briefings for intra-day execution
Subscribe monitored accounts and use alert thresholds (signal score, mention_count) to reduce noise

Example use cases

Morning intelligence brief: automated 24h synthesis of KOL tweets, trending tokens, alpha signals, and market summary
Trending token discovery: rank tokens by KOL mentions × CoinGecko rank × price change and surface why a token is hot
KOL deep dive: aggregate historical and recent posts from a single influencer and assess stance (Bullish/Bearish/Neutral)
Security alerting: surface hack/rug mentions immediately with urgency rating and sample evidence
Watchlist management: add/remove KOLs or tokens and receive summarized monitoring reports

FAQ

Alpha signals are multi-source patterns where multiple KOLs, price moves, and news align; CT Monitor surfaces tokens with KOL consensus, notable price change, or repeated narrative spikes.

How are security risks handled?

If content indicates a hack/exploit/rug, the system prioritizes that item at the top of reports with urgency rating and evidence; analysts should immediately check contract addresses and on-chain indicators.

Can I schedule automated briefs?

Yes — the skill supports cron scheduling for daily morning briefs and flash briefings and can deliver to Telegram or other channels via configured integrations.