Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nirholas/three.ws/crypto-data-aggregation-guidenpx skills add nirholas/three.ws --skill crypto-data-aggregation-guidegit clone --depth 1 https://github.com/nirholas/three.wsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00065 | $0.01171 |
| Opus 5 | $0.00032 | $0.00585 |
| Sonnet 5 | $0.00013 | $0.00234 |
| Haiku 4.5 | $0.00006 | $0.00117 |
Grade A, and why
crypto-data-aggregation-guide scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
json_data = dr.fetch(format='json') How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CryptoDataPy — Crypto Data Aggregation Guide
CryptoDataPy is a Python library that unifies 20+ crypto data sources into a single interface. One import, one API call — get prices, on-chain metrics, social data, derivatives, and macro indicators.
Supported Sources
| Source | Data Type | API Key Required |
|---|---|---|
| CoinGecko | Prices, market cap, volume | Free tier available |
| DeFi Llama | TVL, yields, stablecoin data | No |
| Glassnode | On-chain metrics | Yes |
| CryptoCompare | OHLCV, social stats | Free tier available |
| Messari | Asset profiles, metrics | Free tier available |
| Dune Analytics | Custom SQL queries | Yes |
| Etherscan | Gas, transactions | Free tier available |
| Alternative.me | Fear & Greed Index | No |
| DexScreener | DEX prices, pools | No |
| Binance | OHLCV, order book | No |
| And 10+ more | Various | Various |
Quick Start
pip install cryptodatapy
from cryptodatapy import DataRequest
# Get Bitcoin daily prices from multiple sources
dr = DataRequest(
tickers=['BTC', 'ETH', 'SPA'],
fields=['close', 'volume', 'market_cap'],
freq='daily',
start_date='2024-01-01'
)
data = dr.fetch()
print(data.head())
Data Types
Price Data
# OHLCV data
dr = DataRequest(
tickers=['SPA', 'ETH'],
fields=['open', 'high', 'low', 'close', 'volume'],
freq='1h',
source='binance'
)
On-Chain Metrics
# Active addresses, transaction count, hash rate
dr = DataRequest(
tickers=['ETH'],
fields=['active_addresses', 'tx_count', 'hash_rate'],
freq='daily',
source='glassnode'
)
DeFi Metrics
# TVL, yields, protocol revenue
dr = DataRequest(
tickers=['sperax', 'aave', 'uniswap'],
fields=['tvl', 'revenue', 'fees'],
freq='daily',
source='defillama'
)
Social Data
# Social volume, sentiment, developer activity
dr = DataRequest(
tickers=['SPA', 'BTC'],
fields=['social_volume', 'dev_activity', 'github_stars'],
freq='daily',
source='santiment'
)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 184 lines · 65 tokens per session scan A 92a2720328dd
crypto-data-aggregation-guide is a skill published in the GitHub repository nirholas/three.ws (107 stars, last pushed 3d ago), licensed Apache-2.0. It adds 65 tokens to every session and 1,171 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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