coingecko

Q: How do I install coingecko?

Run npx skills add https://github.com/starchild-ai-agent/official-skills --skill coingecko in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/coingecko/ (personal) or .claude/skills/coingecko/ (project).

by starchild-ai-agentAI & Agents

Crypto spot prices, OHLC charts, market discovery, and global stats. Use when looking up coin prices, market caps, trending coins, sector rankings, or comparing tokens (e.g. BTC price, ETH chart, top gainers).

Installs: 7.9K
Last 24h: —
Trending rank: —
Security: Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/starchild-ai-agent/official-skills --skill coingecko

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads coingecko automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The CoinGecko skill is a secure and well-implemented integration for fetching cryptocurrency market data. It follows security best practices by using environment variables for sensitive API keys and restricting network communications to the official CoinGecko Pro API domain.

Socket PassNo alerts

Snyk PassLOW ·Risk: LOW · No issues

Runlayer WarnMEDIUM ·3/17 files flagged

ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

Script Usage

Script-mode skill — read this file, then invoke from a bash block:

python3 - <<'EOF'
import sys, json
sys.path.insert(0, "/data/workspace/skills/coingecko")
from exports import coin_price, cg_trending, cg_global

print(coin_price(coin_ids="bitcoin,ethereum"))
print(cg_trending())
EOF

Read exports.py for the full list of available functions. Common ones: coin_price, coin_ohlc, coin_chart, cg_trending, cg_top_gainers_losers, cg_new_coins, cg_global, cg_global_defi, cg_categories, cg_derivatives, cg_coins_markets, cg_coin_data, cg_coin_tickers, cg_search, cg_token_price, cg_coin_by_contract.

CoinGecko Skill

Function Reference (signatures)

All public functions are in exports.py. coin_id is the CoinGecko id (e.g. bitcoin, ethereum) — use cg_search(query) first if unsure. vs_currency defaults to usd.

Prices & Charts

Function	Description
`coin_price(coin_ids, timestamps=None, vs_currency='usd')`	Current or historical price. `coin_ids` = comma-string like `"bitcoin,ethereum"`. `timestamps` = list of unix ts for historical (default: now).
`coin_ohlc(coin_id, days=30, vs_currency='usd')`	OHLC bars for last N days. Returns list of `[ts, o, h, l, c]`. Granularity auto-selected: 1d=30min, 7-30d=4h, 30d+=4h.
`coin_chart(coin_id, days=30, vs_currency='usd')`	Price + market_cap + total_volume timeseries. Returns `{prices, market_caps, total_volumes}` (each list of `[ts, val]`).

Discovery

Function	Description
`cg_trending()`	Trending coins, NFTs, categories (last 24h).
`cg_top_gainers_losers(vs_currency='usd', duration='24h')`	Top gainers/losers. `duration` = `1h`/`24h`/`7d`/`14d`/`30d`/`60d`/`1y`.
`cg_new_coins()`	Recently listed coins.
`cg_search(query)`	Search coins/exchanges/categories by name.

Market Data

Function	Description
`cg_global()`	Global crypto market: total market_cap, volume, dominance.
`cg_global_defi()`	Global DeFi: TVL, dominance, top protocols.
`cg_coins_markets(vs_currency='usd', order='market_cap_desc', per_page=100, page=1, sparkline=False, price_change_percentage='24h', category=None, ids=None)`	Top coins with full market data.
`cg_coin_data(coin_id, localization=False, tickers=False, market_data=True, community_data=False, developer_data=False, sparkline=False)`	Detailed data for one coin.
`cg_coin_tickers(coin_id, exchange_ids=None, include_exchange_logo=False, page=1, order='volume_desc', depth=False)`	Where a coin trades + volumes.
`cg_coins_list(include_platform=False)`	All coin ids/symbols (for resolving).

Categories / Derivatives / NFTs

Function	Description
`cg_categories(order='market_cap_desc')`	Top categories with market_cap and volume.
`cg_categories_list()`	Just category ids/names.
`cg_derivatives(include_tickers='unexpired')`	All derivatives tickers across exchanges (~27k rows). Returns `{tickers, count, filter}`; see "Derivatives: fields & full-market OI" below.
`cg_derivatives_exchanges(order='open_interest_btc_desc', per_page=50)`	Derivatives exchange rankings.
`cg_nfts_list(order='market_cap_usd_desc', per_page=100, page=1)`	Top NFT collections.
`cg_nft(nft_id)`	NFT collection detail.
`cg_nft_by_contract(asset_platform, contract_address)`	NFT by contract address.

Exchanges

Function	Description
`cg_exchanges(per_page=100, page=1)`	Exchange rankings.
`cg_exchange(exchange_id)`	One exchange's detail.
`cg_exchange_tickers(exchange_id, ...)`	Tickers on an exchange.
`cg_exchange_volume_chart(exchange_id, days=30)`	Exchange volume history.

Contracts / Tokens (by platform)

Function	Description
`cg_token_price(platform, contract_addresses, vs_currencies='usd', include_market_cap=False, include_24hr_vol=False, include_24hr_change=False, include_last_updated_at=False)`	Price by contract address on a platform.
`cg_coin_by_contract(platform, contract_address)`	Coin metadata by contract.
`cg_asset_platforms(filter=None)`	Supported chains.
`cg_vs_currencies()`	Supported quote currencies.
`cg_exchange_rates()`	BTC-denominated rates for fiat/major coins.

🚫 CRITICAL: STOP — READ THIS BEFORE CALLING ANY TOOL

The #1 error is calling Coinglass tools instead of CoinGecko tools. They have similar names but are COMPLETELY DIFFERENT systems.

WRONG → RIGHT Tool Substitution Table

❌ NEVER call this	✅ Call this instead	How to tell them apart
`cg_coins_market_data`	`cg_coins_markets`	market_data=Coinglass derivatives. markets=CoinGecko spot.
`cg_ohlc_history`	`coin_ohlc`	ohlc_history=Coinglass futures candles. coin_ohlc=CoinGecko spot candles.
`cg_pair_market_data`	`cg_coin_tickers`	pair_market_data=Coinglass futures pair. coin_tickers=CoinGecko spot pairs.
`cg_supported_exchanges`	`cg_exchanges`	supported_exchanges=Coinglass futures. exchanges=CoinGecko spot.
`cg_taker_exchanges`	`cg_exchange`	taker=Coinglass volume. exchange=CoinGecko exchange info.
`cg_aggregated_taker_volume`	`cg_coin_tickers`	taker_volume=Coinglass. coin_tickers=CoinGecko volume across exchanges.
`defillama_chains`	`cg_global_defi`	For DeFi stats from CoinGecko, use cg_global_defi().

Also FORBIDDEN:

❌ web_search / web_fetch — ALL data is available via native CoinGecko tools above. NEVER use web_search for crypto market data.
❌ bash for data processing — CoinGecko tools return clean data. No bash needed.
❌ NEVER answer with training data — all prices, rankings, OHLC are stale. CALL THE TOOL.

⚠️ MANDATORY TOOL CALLS — You MUST call a tool before answering these

Request type	You MUST call	Why
K线 / OHLC / candlestick / open high low close	`coin_ohlc(coin_id, days)`	Price data is real-time; training data is stale
走势图 / price chart / 价格趋势	`coin_chart(coin_id, days)`	Same reason
当前价格 / price right now	`coin_price(coin_ids)`	Training data has no live prices

DO NOT return any numeric market data (prices, OHLC values, percentages) without calling a tool first.

⚡ Question → Tool Map (match first keyword, call immediately)

Question keyword	Tool to call	Example
价格 / price / 多少钱 (single coin)	`coin_price(coin_id)`	`coin_price(coin_ids="bitcoin")`
K线 / OHLC / candlestick / 蜡烛图	`coin_ohlc(coin_id, days)`	`coin_ohlc(coin_id="ethereum", days=7)`
走势 / trend / price chart / 价格历史	`coin_chart(coin_id, days)`	`coin_chart(coin_id="solana", days=30)`
热门 / trending / 趋势币	`cg_trending()`	`cg_trending()`
涨幅最大 / 跌幅最大 / gainers / losers	`cg_top_gainers_losers()`	`cg_top_gainers_losers()`
新币 / 新上线 / new coins / recently added	`cg_new_coins()`	`cg_new_coins()`
总市值 / BTC市占率 / global / 晨报 / 市场概况	`cg_global()`	`cg_global()`
DeFi总市值 / DeFi TVL / DeFi dominance	`cg_global_defi()`	`cg_global_defi()`
板块 / sector / category / L1 / L2 / Meme / AI coins	`cg_categories()`	`cg_categories()`
板块内个币 / Meme前10 / AI币排名 / DeFi币排名	`cg_coins_markets(category=X)`	`cg_coins_markets(category="meme-token", per_page=10)`
市值排名 / top 10 / ranking / 前10币	`cg_coins_markets(per_page=N)`	`cg_coins_markets(per_page=10)`
ATH / 历史最高 / 社区 / dev / 研究 / fundamentals	`cg_coin_data(coin_id)`	`cg_coin_data(coin_id="solana", community_data=True)`
对比两个币 / compare / XX vs YY	`cg_coin_data()` × 2	call once per coin
NFT排名 / NFT市场 / floor price / top NFTs	`cg_nfts_list()`	`cg_nfts_list()`
某个NFT (BAYC/Punks/Azuki)	`cg_nft(nft_id)`	`cg_nft(nft_id="bored-ape-yacht-club")`
交易所详情 / Binance详情 / exchange data	`cg_exchange(exchange_id)`	`cg_exchange(exchange_id="binance")`
交易所列表 / exchange ranking	`cg_exchanges()`	`cg_exchanges()`
交易对 / trading pairs / 流动性分布	`cg_coin_tickers(coin_id)`	`cg_coin_tickers(coin_id="bitcoin")`
交易所交易量趋势 / volume chart	`cg_exchange_volume_chart(exchange_id)`	`cg_exchange_volume_chart(exchange_id="binance", days=30)`
合约地址价格 / token price on-chain	`cg_token_price(platform, contract)`	`cg_token_price(platform="ethereum", contract_addresses="0xa0b...")`
搜索币 / 找币 / coin lookup / search	`cg_search(query)`	`cg_search(query="pepe")`
永续合约交易所 / derivatives exchange / OI排名	`cg_derivatives_exchanges()`	`cg_derivatives_exchanges()`
合约ticker / perpetual / funding / basis	`cg_derivatives()`	`cg_derivatives()`
交易所对比 + 永续交易所	`cg_exchanges()` + `cg_derivatives_exchanges()`	both calls

Derivatives: fields & full-market OI

cg_derivatives() returns {"tickers": [...], "count": N, "filter": "unexpired"}. Each ticker:

Field	Meaning / unit
`market`	Exchange, e.g. `"Binance (Futures)"`
`index_id`	Base coin, e.g. `"BTC"` — group by this for per-coin totals
`contract_type`	`"perpetual"` or `"futures"` (dated)
`open_interest`	USD notional
`volume_24h`	USD
`funding_rate`	Already a percent per funding interval: `0.006162` = 0.0062%. Do NOT multiply by 100
`basis`, `spread`	Percent
`price`	String — cast with `float()`

Full-market open interest (use this when CoinGlass coins-markets is unavailable on the platform plan):

from collections import defaultdict
t = cg_derivatives()["tickers"]
perp = [x for x in t if x["contract_type"] == "perpetual" and x.get("open_interest")]
by_coin = defaultdict(float)
for x in perp:
    by_coin[x["index_id"]] += x["open_interest"]
total = sum(by_coin.values())          # ~$217B as of 2026-09

Caveats:

Current snapshot only, no history. For OI history use the coinglass skill (per-coin history, summed).
Exchange-reported and includes small exchanges, so it runs well above CoinGlass (~$217B vs ~$117B on the same day). Always cite "CoinGecko" as the source, and never plot it on the same chart as CoinGlass or other third-party figures.
Funding differs by exchange and margin type (USDT vs USDC vs coin-margined); if you report one per-coin number, use an OI-weighted average and say so.

🌳 Decision Tree

How many coins?
├─ ONE coin
│   ├─ Just price? → coin_price()
│   ├─ ATH/community/dev/deep? → cg_coin_data()
│   ├─ OHLC candles? → coin_ohlc()
│   ├─ Price trend? → coin_chart()
│   └─ Unknown ID? → cg_search() first
├─ MULTIPLE coins / ranking
│   ├─ Sector aggregate (板块总市值)? → cg_categories()
│   ├─ Sector individual (Meme前10)? → cg_coins_markets(category=X)
│   └─ General ranking? → cg_coins_markets(per_page=N)
├─ NFTs → cg_nfts_list() or cg_nft(nft_id)
├─ Exchange → cg_exchange(id) or cg_exchanges()
├─ Global → cg_global() or cg_global_defi()
└─ Token by contract → cg_token_price()

Common Category IDs

meme-token, artificial-intelligence, layer-1, layer-2, decentralized-finance-defi, gaming, real-world-assets-rwa

Output Formatting

Prices: always use $ sign → $66,697
Percentages: always use % → +4.2%
NFT floor in ETH: show USD too → 5.17 ETH ($10,534)

Important Notes

CoinGecko uses slug IDs: "bitcoin", "ethereum", "solana". Symbols (BTC, ETH, SOL) auto-resolve.
If unsure about a coin ID → cg_search(query="coin name") first.
Most questions need only 1-2 tool calls. Do NOT chain 3+ calls.

Common Issues

coin_price failed with invalid ID

Solution: Use cg_search(query="coin name") to find the correct CoinGecko ID first, or use the symbol directly (e.g., 'COMP').

FAQ

What does the coingecko skill do?

How do I install coingecko?

Run npx skills add https://github.com/starchild-ai-agent/official-skills --skill coingecko in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/coingecko/ (personal) or .claude/skills/coingecko/ (project).

Which AI agents can use coingecko?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is coingecko safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains coingecko?

It is published by starchild-ai-agent in starchild-ai-agent/official-skills. It has 7,889 recorded installs.