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/2025emma/vibe-coding-cn/cryptofeednpx skills add 2025Emma/vibe-coding-cn --skill cryptofeedgit clone --depth 1 https://github.com/2025Emma/vibe-coding-cnWrote 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/2025emma/vibe-coding-cn/cryptofeed)<a href="https://agentmods.dev/skills/2025emma/vibe-coding-cn/cryptofeed"><img src="https://agentmods.dev/badge/skills/2025emma/vibe-coding-cn/cryptofeed.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01626 |
| Opus 5 | $0.00000 | $0.00813 |
| Sonnet 5 | $0.00000 | $0.00325 |
| Haiku 4.5 | $0.00000 | $0.00163 |
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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cryptofeed — 97% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TRANSLATED CONTENT:
name: cryptofeed description: Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
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()
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.
- 4d ago First seen · 223 lines · 0 tokens per session scan A 0ffa21c6d740
cryptofeed is a skill published in the GitHub repository 2025Emma/vibe-coding-cn (22,897 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,626 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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