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claude-codefinance

Claude-skill-registry analyzing-options-flow

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/analyzing-options-flow" ~/.claude/skills/majiayu000-claude-skill-registry-analyzing-options-flow && rm -rf "$T"
manifest: skills/data/analyzing-options-flow/SKILL.md
tags
#crypto#data-analysis#api-integration#blockchain#market-sentiment
safety · automated scan (low risk)
This is a pattern-based risk scan, not a security review. Our crawler flagged:
  • references .env files
Always read a skill's source content before installing. Patterns alone don't mean the skill is malicious — but they warrant attention.
source content

Analyzing Options Flow

Overview

This skill provides automated assistance for the described functionality.

Prerequisites

Before using this skill, ensure you have:

  • Access to crypto market data APIs (CoinGecko, CoinMarketCap, or similar)
  • Blockchain RPC endpoints or node access (Infura, Alchemy, or self-hosted)
  • API keys for exchanges if trading or querying account data
  • Web3 libraries installed (ethers.js, web3.py, or equivalent)
  • Understanding of blockchain concepts and crypto market dynamics

Instructions

  1. Use Read tool to load API credentials from {baseDir}/config/crypto-apis.env
  2. Configure blockchain RPC endpoints for target networks
  3. Set up exchange API connections if required
  4. Verify rate limits and subscription tiers
  5. Test connectivity and authentication
  6. Use Bash(crypto:options-*) to execute crypto data queries
  7. Fetch real-time prices, volumes, and market cap data
  8. Query blockchain for on-chain metrics and transactions
  9. Retrieve exchange order book and trade history
  10. Aggregate data from multiple sources for accuracy

See 

{baseDir}/references/implementation.md
for detailed implementation guide.

Output

  • Current prices across exchanges with spread analysis
  • 24h volume, market cap, and circulating supply
  • Price changes across multiple timeframes (1h, 24h, 7d, 30d)
  • Trading volume distribution by exchange
  • Liquidity metrics and slippage estimates
  • Transaction count and network activity

Error Handling

See 

{baseDir}/references/errors.md
for comprehensive error handling.

Examples

See 

{baseDir}/references/examples.md
for detailed examples.

Resources

  • CoinGecko API for market data across thousands of assets
  • Etherscan API for Ethereum blockchain data
  • Dune Analytics for on-chain SQL queries
  • The Graph for decentralized blockchain indexing
  • ethers.js for Ethereum smart contract interaction