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 skills add godmakereth/vibe-coding-tw --skill cryptofeedgit clone --depth 1 https://github.com/godmakereth/vibe-coding-twWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/godmakereth/vibe-coding-tw/cryptofeed)<a href="https://agentmods.dev/skills/godmakereth/vibe-coding-tw/cryptofeed"><img src="https://agentmods.dev/badge/skills/godmakereth/vibe-coding-tw/cryptofeed/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/godmakereth/vibe-coding-tw/cryptofeed"><img src="https://agentmods.dev/badge/skills/godmakereth/vibe-coding-tw/cryptofeed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00046 | $0.01621 |
| Opus 5.5 | $0.00018 | $0.00648 |
| Sonnet 5.5 | $0.00009 | $0.00324 |
| Haiku 4.5 | $0.00005 | $0.00162 |
Grade A, and why
cryptofeed scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
97% identical to cryptofeed — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cryptofeed Skill
Comprehensive assistance with Cryptofeed development - a Python library for handling cryptocurrency exchange data feeds with normalized and standardized results.
When to Use This Skill
This skill should be triggered when:
- Working with real-time cryptocurrency market data
- Implementing WebSocket streaming from crypto exchanges
- Building algorithmic trading systems
- Processing order book updates, trades, or ticker data
- Connecting to 40+ cryptocurrency exchanges
- Using normalized exchange APIs
- Implementing market data backends (Redis, MongoDB, Kafka, etc.)
Quick Reference
Installation
# Basic installation
pip install cryptofeed
# With all optional backends
pip install cryptofeed[all]
Basic Usage Pattern
from cryptofeed import FeedHandler
from cryptofeed.exchanges import Coinbase, Bitfinex
from cryptofeed.defines import TICKER, TRADES, L2_BOOK
# Define callbacks
def ticker_callback(data):
print(f"Ticker: {data}")
def trade_callback(data):
print(f"Trade: {data}")
# Create feed handler
fh = FeedHandler()
# Add exchange feeds
fh.add_feed(Coinbase(
symbols=['BTC-USD'],
channels=[TICKER],
callbacks={TICKER: ticker_callback}
))
fh.add_feed(Bitfinex(
symbols=['BTC-USD'],
channels=[TRADES],
callbacks={TRADES: trade_callback}
))
# Start receiving data
fh.run()
National Best Bid/Offer (NBBO)
from cryptofeed import FeedHandler
from cryptofeed.exchanges import Coinbase, Gemini, Kraken
def nbbo_update(symbol, bid, bid_size, ask, ask_size, bid_feed, ask_feed):
print(f'Pair: {symbol} Bid: {bid:.2f} ({bid_size:.6f}) from {bid_feed}')
print(f'Ask: {ask:.2f} ({ask_size:.6f}) from {ask_feed}')
f = FeedHandler()
f.add_nbbo([Coinbase, Kraken, Gemini], ['BTC-USD'], nbbo_update)
f.run()
Supported Exchanges (40+)
Major Exchanges
- Binance (Spot, Futures, Delivery, US)
- Coinbase, Kraken (Spot, Futures), Bitfinex
- Gemini, OKX, Bybit
- Huobi (Spot, DM, Swap), Gate.io (Spot, Futures)
- KuCoin, Deribit, BitMEX, dYdX
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 222 lines · 46 tokens per session scan A 8770d46cbc52
cryptofeed is a skill published in the GitHub repository godmakereth/vibe-coding-tw (48 stars, last pushed 10mo ago), licensed MIT. It adds 46 tokens to every session and 1,621 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to cryptofeed, differing in 1 line, and is treated as a copy.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
china-portfolio-monitoring
A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.