📦 Hyperliquid
Hyperliquid(ハイパーリキッド)という
📺 まず動画で見る(YouTube)
▶ 【Claude Code完全入門】誰でも使える/Skills活用法/経営者こそ使うべき ↗
※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。
📜 元の英語説明(参考)
Hyperliquid market data, account history, trade review.
🇯🇵 日本人クリエイター向け解説
Hyperliquid(ハイパーリキッド)という
※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。
⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。
🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
📦 インストール方法 (3ステップ)
- 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
- 3. 展開してできたフォルダを、ホームフォルダの
.claude/skills/に置く- · macOS / Linux:
~/.claude/skills/ - · Windows:
%USERPROFILE%\.claude\skills\
- · macOS / Linux:
Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。
詳しい使い方ガイドを見る →- 最終更新
- 2026-05-17
- 取得日時
- 2026-05-17
- 同梱ファイル
- 2
💬 こう話しかけるだけ — サンプルプロンプト
- › Hyperliquid の使い方を教えて
- › Hyperliquid で何ができるか具体例で見せて
- › Hyperliquid を初めて使う人向けにステップを案内して
これをClaude Code に貼るだけで、このSkillが自動発動します。
📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
Hyperliquid Skill
Query Hyperliquid market and account data through the public /info endpoint.
Read-only — no API key, no signing, no order placement.
12 commands: dexs, markets, spots, candles, funding, l2, state,
spot-balances, fills, orders, review, export. Stdlib only
(urllib, json, argparse).
When to Use
- User asks for Hyperliquid perp or spot market data, candles, funding, or L2 book
- User wants to inspect a wallet's perp positions, spot balances, fills, or orders
- User wants a post-trade review combining recent fills with market context
- User wants to inspect builder-deployed perp dexs or HIP-3 markets
- User wants a normalized JSON export of candles + funding for backtesting prep
Prerequisites
Stdlib only — no external packages, no API key.
The script reads ~/.hermes/.env for two optional defaults:
HYPERLIQUID_API_URL— defaults tohttps://api.hyperliquid.xyz. Set tohttps://api.hyperliquid-testnet.xyzfor testnet.HYPERLIQUID_USER_ADDRESS— default address forstate,spot-balances,fills,orders, andreview. If unset, pass the address as the first positional argument.
A project .env in the current working directory is honored as a dev fallback.
Helper script: ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py
How to Run
Invoke through the terminal tool:
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py <command> [args]
Add --json to any command for machine-readable output.
Quick Reference
hyperliquid_client.py dexs
hyperliquid_client.py markets [--dex DEX] [--limit N] [--sort volume|oi|funding_abs|change_abs|name]
hyperliquid_client.py spots [--limit N]
hyperliquid_client.py candles <coin> [--interval 1h] [--hours 24] [--limit N]
hyperliquid_client.py funding <coin> [--hours 72] [--limit N]
hyperliquid_client.py l2 <coin> [--levels N]
hyperliquid_client.py state [address] [--dex DEX]
hyperliquid_client.py spot-balances [address] [--limit N]
hyperliquid_client.py fills [address] [--hours N] [--limit N] [--aggregate-by-time]
hyperliquid_client.py orders [address] [--limit N]
hyperliquid_client.py review [address] [--coin COIN] [--hours N] [--fills N]
hyperliquid_client.py export <coin> [--interval 1h] [--hours N] [--output PATH]
For state, spot-balances, fills, orders, and review, the address is
optional when HYPERLIQUID_USER_ADDRESS is set in ~/.hermes/.env.
Procedure
1. Discover DEXs and Markets
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py dexs
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
markets --limit 15 --sort volume
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
spots --limit 15
--dexonly applies to perp endpoints; omit for the first perp dex.- Spot pairs may show as
PURR/USDCor aliases like@107. - HIP-3 markets prefix the coin with the dex, e.g.
mydex:BTC.
2. Pull Historical Market Data
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
candles BTC --interval 1h --hours 72 --limit 48
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
funding BTC --hours 168 --limit 30
Time-range endpoints paginate. For larger windows, repeat with a later
startTime or use export (below).
3. Inspect Live Order Book
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
l2 BTC --levels 10
Use when asked about book depth, near-term liquidity, or potential market impact of a large order.
4. Review an Account
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
state 0xabc...
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
spot-balances
state returns perp positions; spot-balances returns spot inventory.
Use these for "how are my positions?", "what am I holding?", "how much is
withdrawable?".
5. Review Fills and Orders
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
fills 0xabc... --hours 72 --limit 25
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
orders --limit 25
6. Generate a Trade Review
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
review 0xabc... --hours 72 --fills 50
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
review --coin BTC --hours 168
Reports realized PnL, fees, win/loss counts, coin breakdowns, market trend and average funding for each traded perp, plus heuristics (fee drag, concentration, counter-trend losses).
For deeper post-trade analysis: start with review to find problem coins
or windows → pull fills and orders for that period → pull candles
and funding for each traded coin → judge decision quality separately
from outcome quality.
7. Export a Reusable Dataset
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
export BTC --interval 1h --hours 168 --output ./btc-1h-7d.json
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
export BTC --interval 15m --hours 72 --end-time-ms 1760000000000
Output JSON contains: schema version, source metadata, exact time window,
normalized candle rows, normalized funding rows, summary stats. Use
--end-time-ms for reproducible windows.
Pitfalls
- Public info endpoints are rate-limited. Large historical queries may
return capped windows; iterate with later
startTimevalues. fills --hours ...usesuserFillsByTime, which only exposes a recent rolling window — not full archive history.historicalOrdersreturns recent orders only; not a full export.- The
reviewcommand is heuristic. It cannot reconstruct intent, order placement quality, or true slippage from fills alone. - The
exportcommand writes a normalized dataset, not a backtest engine. You still need your own slippage/fill model. - Spot aliases like
@107are valid identifiers even when the UI shows a friendlier name. l2is a point-in-time snapshot, not a time series.
Verification
python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
markets --limit 5
Should print the top Hyperliquid perp markets by 24h notional volume.
同梱ファイル
※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。
- 📄 SKILL.md (6,909 bytes)
- 📎 scripts/hyperliquid_client.py (60,179 bytes)