coinglass
The coinglass skill provides access to crypto derivatives data, including funding rates, open interest, liquidations, long/short ratios, whale tracking, and ETF flows. It utilizes 37 specific tools to retrieve market data for analysis.
Is coinglass safe to install?
Review the source first: our audit of coinglass's source files found 1 shell command, 1 external URL, no file writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands and makes network requests to the CoinGlass API.
How we audit skills: our security review methodology.
Who is this skill for?
Traders and researchers analyzing cryptocurrency perp markets, institutional ETF flows, and whale positioning.
What can you do with it?
- Researching perpetual market sentiment via funding rates and open interest.
- Tracking whale positions and alerts on Hyperliquid.
- Comparing ETF flows across BTC, ETH, SOL, and XRP.
- Analyzing liquidation heatmaps and historical liquidation data.
- Evaluating long/short ratios for global and top-tier accounts.
How good is this skill?
Quality score: 5/10. The skill documentation is comprehensive, providing clear decision trees, tool routing, and specific function signatures. It explicitly defines forbidden patterns and error handling procedures.
What does the skill file contain?
## Liquidation Heatmap（真正的价格区间清算压力）
`cg_liquidation_analysis` 返回全0，不可用。正确做法是直接调 API：
```python
from tools._api import cg_request
# 全市场聚合热力图（推荐，无需指定交易所）
# range 支持: 12h, 24h, 3d, 7d, 30d, 90d, 180d, 1y
data = cg_request("api/futures/liquidation/aggregated-heatmap/model1",
params={"symbol": "BTC", "range": "24h"})
# 返回结构：
# data["y_axis"] → 价格档位列表（从低到高）
# data["liquidation_leverage_data"] → [[y_idx, leverage, usd_value], ...]
# data["price_candlesticks"] → OHLCV K线，最后一根收盘价 = 当前价
# data["update_time"] → 更新时间戳
# 解析方法：
from collections i...Frequently asked questions
Which tool should I use for liquidation rankings?
Use cg_liquidation_coin_list. Do not use cg_liquidations or cg_liquidation_analysis for rankings.
How do I analyze historical long/short ratios?
Use cg_global_account_ratio for all accounts or cg_top_account_ratio for top traders. The long_short_ratio tool only provides a current snapshot.
What should I do if a tool returns null or empty data?
Report that no data is available. Do not use the learning_log for empty API responses.
Are there specific requirements to use this skill?
Yes, the environment must provide a COINGLASS_API_KEY.
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