Crypto Sniper Oracle for Openclaw

An institutional-grade quantitative market oracle providing real-time order book imbalance analysis and automated reporting via Telegram.

georges91560
v3.3.0
Feb 27, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install crypto-sniper-oracle

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install crypto-sniper-oracle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Crypto Sniper Oracle?

The crypto-sniper-oracle is a sophisticated quantitative intelligence tool designed for developers utilizing Openclaw Skills. It specializes in fetching high-fidelity public market data from the Binance API to perform deep calculations on Order Book Imbalance (OBI), VWAP divergence, and liquidity quality. By providing an institutional-grade data layer, this skill allows users to monitor market sentiment and volatility without requiring private exchange credentials.

This skill is built for transparency and security, operating primarily as a read-only market observer. It transforms raw ticker data into structured, human-readable Markdown reports that can be stored locally or pushed to remote monitoring channels. Whether you are building an automated trading dashboard or a simple price monitoring agent, this integration offers the metrics needed to make informed decisions within the Openclaw Skills ecosystem.

Crypto Sniper Oracle Use Cases

  • Identifying high-probability bullish or bearish setups based on real-time OBI and spread analysis.
  • Monitoring market liquidity quality to detect potential slippage risks before executing trades.
  • Automating daily market summaries and hourly anomaly detection delivered directly to mobile via Telegram.
  • Generating a local audit trail of market behavior for post-trade analysis or research.

How Crypto Sniper Oracle Works

  1. The skill initiates a data acquisition phase by fetching public ticker and order book data from Binance API endpoints.
  2. Quantitative analysis is performed locally to calculate Order Book Imbalance, VWAP divergence, and spread in basis points.
  3. A report generator loads specialized Markdown templates and populates them with the calculated market metrics.
  4. If configured, the skill formats the report for Telegram and delivers it via a secure bot integration.
  5. All generated reports, anomalies, and execution logs are archived in the workspace directory for long-term data retention.

Crypto Sniper Oracle Setup

To install the skill, clone the repository and move the files into your workspace directory:

git clone https://github.com/georges91560/crypto-sniper-oracle.git
cd crypto-sniper-oracle
cp -r * /workspace/skills/crypto-sniper-oracle/
chmod +x /workspace/skills/crypto-sniper-oracle/*.py

For Telegram notifications, set your environment variables:

export TELEGRAM_BOT_TOKEN="your_bot_token"
export TELEGRAM_CHAT_ID="your_chat_id"

Crypto Sniper Oracle Data Schema & Taxonomy

The skill organizes its analysis and logs within the workspace following this schema:

Path Purpose
/workspace/.oracle_cache.json 45-second TTL cache for API data to prevent rate limiting
/workspace/MARKET_ANALYSIS.md The most recent on-demand analysis report
/workspace/TRADING_LOGS.md Comprehensive audit trail of all skill executions
/workspace/reports/daily_{date}.md Historical archive of daily market summaries
/workspace/reports/alerts_{date}.log Log of detected market anomalies and alerts

Crypto Sniper Oracle Advanced Features

  • Scheduled automation via Cron for daily, hourly, and 15-minute alert cycles.
  • Real-time anomaly detection for OBI spikes, spread explosions, and volume surges.
  • Flexible reporting modes (Daily, Hourly, Alerts) tailored for different monitoring needs.
  • Multi-symbol batch processing to analyze entire watchlists in a single execution cycle within Openclaw Skills.

SKILL.md


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