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Hermes-agent
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---
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name: hyperliquid
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description: Hyperliquid market data, account history, trade review.
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version: 0.1.0
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author: Hugo Sequier (Hugo-SEQUIER), Hermes Agent
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license: MIT
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [Hyperliquid, Blockchain, Crypto, Trading, Perpetuals, Spot, DeFi]
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related_skills: []
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---
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# Hyperliquid Skill
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Query Hyperliquid market and account data through the public `/info` endpoint.
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Read-only — no API key, no signing, no order placement.
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12 commands: `dexs`, `markets`, `spots`, `candles`, `funding`, `l2`, `state`,
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`spot-balances`, `fills`, `orders`, `review`, `export`. Stdlib only
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(`urllib`, `json`, `argparse`).
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---
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## When to Use
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- User asks for Hyperliquid perp or spot market data, candles, funding, or L2 book
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- User wants to inspect a wallet's perp positions, spot balances, fills, or orders
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- User wants a post-trade review combining recent fills with market context
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- User wants to inspect builder-deployed perp dexs or HIP-3 markets
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- User wants a normalized JSON export of candles + funding for backtesting prep
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---
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## Prerequisites
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Stdlib only — no external packages, no API key.
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The script reads `${HERMES_HOME:-~/.hermes}/.env` for two optional defaults:
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- `HYPERLIQUID_API_URL` — defaults to `https://api.hyperliquid.xyz`. Set to
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`https://api.hyperliquid-testnet.xyz` for testnet.
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- `HYPERLIQUID_USER_ADDRESS` — default address for `state`, `spot-balances`,
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`fills`, `orders`, and `review`. If unset, pass the address as the first
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positional argument.
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A project `.env` in the current working directory is honored as a dev fallback.
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Helper script: `~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py`
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---
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## How to Run
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Invoke through the `terminal` tool:
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py <command> [args]
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```
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Add `--json` to any command for machine-readable output.
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---
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## Quick Reference
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```bash
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hyperliquid_client.py dexs
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hyperliquid_client.py markets [--dex DEX] [--limit N] [--sort volume|oi|funding_abs|change_abs|name]
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hyperliquid_client.py spots [--limit N]
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hyperliquid_client.py candles <coin> [--interval 1h] [--hours 24] [--limit N]
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hyperliquid_client.py funding <coin> [--hours 72] [--limit N]
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hyperliquid_client.py l2 <coin> [--levels N]
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hyperliquid_client.py state [address] [--dex DEX]
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hyperliquid_client.py spot-balances [address] [--limit N]
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hyperliquid_client.py fills [address] [--hours N] [--limit N] [--aggregate-by-time]
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hyperliquid_client.py orders [address] [--limit N]
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hyperliquid_client.py review [address] [--coin COIN] [--hours N] [--fills N]
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hyperliquid_client.py export <coin> [--interval 1h] [--hours N] [--output PATH]
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```
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For `state`, `spot-balances`, `fills`, `orders`, and `review`, the address is
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optional when `HYPERLIQUID_USER_ADDRESS` is set in `${HERMES_HOME:-~/.hermes}/.env`.
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---
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## Procedure
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### 1. Discover DEXs and Markets
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py dexs
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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markets --limit 15 --sort volume
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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spots --limit 15
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```
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- `--dex` only applies to perp endpoints; omit for the first perp dex.
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- Spot pairs may show as `PURR/USDC` or aliases like `@107`.
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- HIP-3 markets prefix the coin with the dex, e.g. `mydex:BTC`.
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### 2. Pull Historical Market Data
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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candles BTC --interval 1h --hours 72 --limit 48
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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funding BTC --hours 168 --limit 30
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```
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Time-range endpoints paginate. For larger windows, repeat with a later
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`startTime` or use `export` (below).
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### 3. Inspect Live Order Book
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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l2 BTC --levels 10
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```
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Use when asked about book depth, near-term liquidity, or potential market
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impact of a large order.
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### 4. Review an Account
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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state 0xabc...
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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spot-balances
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```
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`state` returns perp positions; `spot-balances` returns spot inventory.
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Use these for "how are my positions?", "what am I holding?", "how much is
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withdrawable?".
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### 5. Review Fills and Orders
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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fills 0xabc... --hours 72 --limit 25
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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orders --limit 25
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```
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### 6. Generate a Trade Review
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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review 0xabc... --hours 72 --fills 50
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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review --coin BTC --hours 168
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```
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Reports realized PnL, fees, win/loss counts, coin breakdowns, market trend
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and average funding for each traded perp, plus heuristics (fee drag,
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concentration, counter-trend losses).
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For deeper post-trade analysis: start with `review` to find problem coins
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or windows → pull `fills` and `orders` for that period → pull `candles`
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and `funding` for each traded coin → judge decision quality separately
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from outcome quality.
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### 7. Export a Reusable Dataset
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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export BTC --interval 1h --hours 168 --output ./btc-1h-7d.json
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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export BTC --interval 15m --hours 72 --end-time-ms 1760000000000
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```
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Output JSON contains: schema version, source metadata, exact time window,
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normalized candle rows, normalized funding rows, summary stats. Use
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`--end-time-ms` for reproducible windows.
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---
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## Pitfalls
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- Public info endpoints are rate-limited. Large historical queries may
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return capped windows; iterate with later `startTime` values.
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- `fills --hours ...` uses `userFillsByTime`, which only exposes a
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recent rolling window — not full archive history.
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- `historicalOrders` returns recent orders only; not a full export.
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- The `review` command is heuristic. It cannot reconstruct intent,
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order placement quality, or true slippage from fills alone.
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- The `export` command writes a normalized dataset, not a backtest
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engine. You still need your own slippage/fill model.
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- Spot aliases like `@107` are valid identifiers even when the UI shows
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a friendlier name.
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- `l2` is a point-in-time snapshot, not a time series.
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---
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## Verification
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```bash
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python3 ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \
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markets --limit 5
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```
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Should print the top Hyperliquid perp markets by 24h notional volume.
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