--- name: hyperliquid version: 1.0.0 category: 数据分析与咨询 trigger_words: tags: - data platform: coze source: DeepseekModel source_url: https://deepseekmodel.com/skill?id=nousresearch-hermes-agent-optional-skills-blockchain-hyperliquid-skill-md --- name hyperliquid description Hyperliquid market data, account history, trade review. version 0.1.0 author Hugo Sequier (Hugo-SEQUIER), Hermes Agent license MIT platforms ["linux","macos","windows"] metadata {"hermes":{"tags":["Hyperliquid","Blockchain","Crypto","Trading","Perpetuals","Spot","DeFi"],"related_skills":[]}} 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_HOME:-~/.hermes}/.env for two optional defaults: HYPERLIQUID_API_URL — defaults to https://api.hyperliquid.xyz . Set to https://api.hyperliquid-testnet.xyz for testnet. HYPERLIQUID_USER_ADDRESS — default address for state , spot-balances , fills , orders , and review . 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: python ~/.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 [--interval 1h] [--hours 24] [-- limit N] hyperliquid_client.py funding [--hours 72] [-- limit N] hyperliquid_client.py l2 [--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 [--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_HOME:-~/.hermes}/.env . Procedure 1. Discover DEXs and Markets python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py dexs python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ markets -- limit 15 -- sort volume python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ spots -- limit 15 --dex only applies to perp endpoints; omit for the first perp dex. Spot pairs may show as PURR/USDC or aliases like @107 . HIP-3 markets prefix the coin with the dex, e.g. mydex:BTC . 2. Pull Historical Market Data python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ candles BTC --interval 1h --hours 72 -- limit 48 python ~/.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 python ~/.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 python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ state 0xabc... python ~/.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 python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ fills 0xabc... --hours 72 -- limit 25 python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ orders -- limit 25 6. Generate a Trade Review python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ review 0xabc... --hours 72 --fills 50 python ~/.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 python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ export BTC --interval 1h --hours 168 --output ./btc-1h-7d.json python ~/.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 startTime values. fills --hours ... uses userFillsByTime , which only exposes a recent rolling window — not full archive history. historicalOrders returns recent orders only; not a full export. The review command is heuristic. It cannot reconstruct intent, order placement quality, or true slippage from fills alone. The export command writes a normalized dataset, not a backtest engine. You still need your own slippage/fill model. Spot aliases like @107 are valid identifiers even when the UI shows a friendlier name. l2 is a point-in-time snapshot, not a time series. Verification python ~/.hermes/skills/blockchain/hyperliquid/scripts/hyperliquid_client.py \ markets -- limit 5 Should print the top Hyperliquid perp markets by 24h notional volume.