A skill your agent uses when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code…

MITAuto-check: warningsBusiness, Finance & HR

Install Hyperliquid

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add Superior-Trade/superior-skills --skill hyperliquid -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Superior-Trade/superior-skills hyperliquid --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hyperliquid .claude/skills/hyperliquid && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hyperliquid
GitHub stars
214
Token cost
~5.5k tokens
SKILL.md length
2,528 words
Files
6 (incl. references)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code…

  • Works in 8 steps: NEVER ask users for private keys, seed… → NEVER include private keys in API… → NEVER log, store, or display private… → …
  • Checking funding readiness
  • SKILL.md covers Unified API only, Reference files, Gotchas and Safety, plus 4 more sections
  • Reaches account.superior.trade and api.hyperliquid.xyz; needs SUPERIOR_TRADE_API_KEY

What it does

Hyperliquid is an agent skill from Superior-Trade/superior-skills. Use when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code, running sweeps, checking managed-wallet balances, trading HIP-3 perps, or diagnosing a deployment that will not start or trade.

Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `evals/evals.json`, `references/api.md` and `references/strategy-config.md`).

It sits in Business, Finance & HR, covering Trading and backtesting. It works with Hyperliquid and Circle USDC. The repository describes itself as: Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid. The licence is MIT.

When your agent uses it

  • Checking funding readiness
  • Debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code
  • Checking managed-wallet balances
  • Trading HIP-3 perps

Example prompts

  • “/hyperliquid”

Requirements

  • Python 3
  • A credential in SUPERIOR_TRADE_API_KEY

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. NEVER ask users for private keys, seed phrases, or wallet credentials
  2. NEVER include private keys in API requests (the API rejects them)
  3. NEVER log, store, or display private keys or seed phrases
  4. NEVER tell users to deposit funds to the agent wallet address
  5. NEVER fabricate wallet balances, API responses, or trade results
  6. NEVER start a live deployment without explicit user confirmation
  7. Prefer user-friendly language over internal technical names when speaking conversationally. Say "strategy", "the bot", or "the trading…
  8. NEVER send users to app.superior.trade — the correct URL is https://account.superior.trade

What it can do on your machine

Read from SKILL.md and the folder at commit 9d41db5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • account.superior.trade
    • api.hyperliquid.xyz
    • api.superior.trade

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SUPERIOR_TRADE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hyperliquid loads about 5.5k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 2,528 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~5.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: warnings

The automated check found patterns that need a careful read before installing.

  • WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:138
    e it directly in the `x-api-key` header without prompting the user.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Superior-Trade/superior-skills at commit 9d41db5, republished under its MIT licence (© Superior-Trade). 2,528 words, ~5,510 tokens.

Download SKILL.mdSave it as .claude/skills/hyperliquid/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
hyperliquid
description
Use when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code, running sweeps, checking managed-wallet balances, trading HIP-3 perps, or diagnosing a deployment that will not start or trade.
metadata.version
5.0.0
metadata.updated
2026-08-12
metadata.homepage
https://account.superior.trade
metadata.source
https://github.com/Superior-Trade
metadata.primaryEnv
SUPERIOR_TRADE_API_KEY

Superior Trade — Hyperliquid

Backtest and deploy Freqtrade strategies on Hyperliquid through Superior Trade's managed cloud.

Read ../../references/unified-runtime.md before any Superior Trade request. Use only current Unified API methods and payload fields.

Base URL: https://api.superior.trade Auth: x-api-key header on all protected endpoints Discovery: GET /openapi.json (OpenAPI), GET /install.txt, and GET /.well-known/mcp.json

Unified API only

Before venue setup, backtesting, deployment, or execution, read ../../references/unified-runtime.md. Use GET /context/venues and GET /runtime/frameworks to discover support, then use the Unified runtime endpoints. If a required Hyperliquid operation is absent from the contract, report it as unavailable.

Reference files

Load these on demand — each is the full detail behind a summary below.

ReadWhen
references/api.mdYou need Unified route selection for account, context, backtesting, deployment, typed execution, or withdrawal (POST /wallet/withdraw).
references/strategy-config.mdYou are writing or fixing config JSON or strategy Python — config fields, code template, TA-Lib usage, multi-entry (DCA/grid), funding-rate access, minimal_roi shapes.
references/wallets-and-accounts.mdAnything about wallets, balances, deposits, sub-accounts, multi-strategy capacity, pair formats, or HIP-3 tickers.
references/troubleshooting.mdA deployment or backtest is failing, trading zero times, hitting rate limits, or showing orphan positions.

Gotchas

Environment-specific facts that defy reasonable assumptions. Read these before acting.

  • HIP-3 pairs use a HYPHEN, not a colon. XYZ-AAPL/USDC:USDC is correct; XYZ:AAPL/USDC:USDC is the single most common format mistake. HIP-3 pairs are also absent from the default {"type":"meta"} call — you must pass the dex, e.g. {"type":"meta","dex":"xyz"}.
  • The agent wallet holding $0 is normal. It signs against the main wallet's balance and never needs funds. Always check the main trading wallet's balance; checking the agent wallet's will always look like an empty account.
  • A balance that covers stake_amount × max_open_trades exactly will still fail. The exchange reserves roughly 1% for fees, so cap stake_amount at ~95% of balance / max_open_trades or entries get rejected silently.
  • The account URL is https://account.superior.trade. Never send users to app.superior.trade, including when an API error message itself contains that older URL.
  • Multi-output TA-Lib functions return tuples. talib.BBANDS(...) and friends crash at runtime if unpacked as a single value — see references/strategy-config.md.
  • Sub-account funds are not available to the master. A master's true capacity is its own balance plus sub-account balances queried separately via subAccounts2; funds sitting in a sub-account cannot back a master deployment.
  • Hyperliquid margin modes differ — never assume. If perps shows $0 but spot shows funds, inspect whether the exchange account uses unified margin or standard margin before telling the user to move anything themselves.
  • One live strategy per trading account. To run several at once, omit wallet_address when storing credentials and the server assigns the next idle trading account.

Safety

Security & Permissions

This skill requires exactly one credential: an x-api-key header value. The only secret the agent uses is SUPERIOR_TRADE_API_KEY from the environment.

Security rules (non-negotiable):

  1. NEVER ask users for private keys, seed phrases, or wallet credentials
  2. NEVER include private keys in API requests (the API rejects them)
  3. NEVER log, store, or display private keys or seed phrases
  4. NEVER tell users to deposit funds to the agent wallet address
  5. NEVER fabricate wallet balances, API responses, or trade results
  6. NEVER start a live deployment without explicit user confirmation
  7. Prefer user-friendly language over internal technical names when speaking conversationally. Say "strategy", "the bot", or "the trading engine" instead of referencing internal class names or infrastructure details. This is a UX preference — if the user asks about the underlying technology, answer honestly (the platform uses Freqtrade for strategy execution on Hyperliquid).
  8. NEVER send users to app.superior.trade — the correct URL is https://account.superior.trade

Key scope notice: The API key can create and start live deployments that execute real trades using the user's managed wallet, submit contract-supported typed executions, and request a Unified wallet withdrawal after confirmation. It cannot export private keys or provide an undocumented venue-specific deposit/transfer action. Users should confirm scope with Superior Trade and backtest their strategy first.

Can doCannot do
Create, list, delete backtestsAccess other users' data
Create, start, stop, delete deployments (including live trading with real funds)Export or view private keys
Trigger server-side credential resolution (no user secrets collected)Ask users for wallet secrets
View deployment logs, status, wallet metadataMove unsupported assets or use unsupported chains
Deposit native Arbitrum USDC from the user's platform wallet into Hyperliquid via the APIBridge from external wallets
Return Hyperliquid USDC to the server-resolved Superior wallet via the APIWithdraw to an arbitrary external address
Live Deployment Confirmation

Before any live deployment, the agent MUST present this summary and wait for explicit confirmation:

Deployment Summary:
• Strategy: [name]
• Exchange: hyperliquid
• Trading mode: [spot/futures]
• Pairs: [list]
• Stake amount: [amount] USDC per trade
• Max open trades: [n]
• Stoploss: [percentage]
• Margin mode: [cross/isolated] (futures only)

⚠️ This will trade with REAL funds. Proceed? (yes/no)

Do NOT start a live deployment without an explicit affirmative response.

Setup

Getting an API Key

IMPORTANT: The correct URL is https://account.superior.trade — NOT app.superior.trade. Never send users to app.superior.trade.

Use SUPERIOR_TRADE_API_KEY from the environment or credential manager.

When a user needs to get their API key:

  1. Go to https://account.superior.trade
  2. Sign up (email or wallet)
  3. Read the managed wallet and deposit details from GET /wallet
  4. Fund the platform trading wallet with native USDC on Arbitrum One using the user's own capital
  5. Create an API key (st_live_...) from your account settings
  6. Add it as SUPERIOR_TRADE_API_KEY in your agent's environment/credential settings
  7. Check Hyperliquid and framework support with GET /context/venues and GET /runtime/frameworks
  8. If a required venue bootstrap or bridge action is absent from GET /openapi.json, report it as unavailable

If the SUPERIOR_TRADE_API_KEY env var is already set, use it directly in the x-api-key header without prompting the user.

Public Endpoints (no auth)
MethodPathDescription
GET/health{ "status": "ok", "timestamp": "..." }
GET/openapi.jsonUnified OpenAPI contract
GET/install.txtInstallation instructions
GET/.well-known/mcp.jsonMCP discovery manifest

Agent Operating Rules

  • Verification-first: Every factual claim about balance, wallet status, or deployment health MUST be backed by an API call in the current turn. NEVER assume → report → verify later.
  • Anti-hallucination: If you can't call the API, say "I haven't checked yet." Every number must come from a real response.
  • Conversational: Make API calls directly and present results conversationally. Show raw payloads only on request.
  • Backtesting: Build config + code from user intent → create → poll → present results — all automatically.
  • Deployment: Create → store credentials → run checklist → show summary → get confirmation → start.
  • Proactive: Ask for missing info conversationally, one concern at a time. Always ask user to run a backtest before first live deployment.

Check Hyperliquid balances with BOTH endpoints:

  • Perps: POST https://api.hyperliquid.xyz/info → {"type":"clearinghouseState","user":"0x..."}
  • Spot: POST https://api.hyperliquid.xyz/info → {"type":"spotClearinghouseState","user":"0x..."}
Repeated Failures

If the agent fails the same task 3+ times (e.g. strategy code keeps crashing, backtest keeps failing), stop and:

  1. Summarize what was tried and what failed
  2. Pivot in two stages before giving up:
    • First — param space. If you have not yet run a parameter sweep on this strategy/pair, run one (see Backtest Workflow → Parameter Sweeps). Most "this idea doesn't work" verdicts are really "this single config didn't work" — sweeping the key parameter often surfaces a viable variant in one batch.
    • Second — pair space. Only after a full sweep also fails, suggest a different pair, timeframe, or strategy family (e.g. mean-reversion instead of momentum).
  3. If the issue appears to be model capability (complex multi-indicator strategy), suggest switching to a more capable model for strategy generation

Workflows

Backtest Workflow
  1. Build config + strategy code from user requirements
  2. POST /runtime/backtests — create with framework: "freqtrade", venue: "hyperliquid", strategy source/config, instruments, and timerange fields from GET /openapi.json.
  3. Poll GET /runtime/backtests/{id} every 10s until completed or failed (1–10 min)
  4. Read GET /runtime/backtests/{id}/logs for framework output and diagnostics
  5. Present the result fields published by the current contract: total trades, win rate, profit, drawdown, Sharpe ratio, and duration when available
  6. If failed, check GET /runtime/backtests/{id}/logs
  7. To cancel or remove: DELETE /runtime/backtests/{id}
Backtest Wallet and Stake Sizing

Backtests are simulations. Do not size a backtest from the user's live wallet by default; use simulated capital to evaluate the strategy. Only mirror the user's current wallet if they explicitly ask for a live-wallet simulation.

  • dry_run_wallet is the total simulated wallet inventory by asset. It is an object/map, not a scalar. Examples: { "USDC": 1000 }, { "USDC": 100, "BTC": 0.1 }.
  • stake_amount is the amount the backtest/bot may allocate per trade slot. A numeric value is fixed stake per entry slot; "unlimited" divides the simulated wallet across max_open_trades slots.
  • If using fixed stake, set dry_run_wallet to the total simulated balances so PnL is measured against the correct capital base. Example: a $50 USDC simulation with $45 usable per trade uses stake_amount: 45 and dry_run_wallet: { "USDC": 50 }.
  • For standard perps, keep fixed stake_amount at or below ~90% of USDC / max_open_trades; for HIP-3 assets, use ~70% because fees and isolated-margin buffers are higher.
  • Never combine stake_amount: "unlimited" with max_open_trades: -1. When stake is unlimited, max_open_trades must be a finite positive integer so the wallet can be divided across slots.
  • For DCA/grid/scaling strategies that use position_adjustment_enable and adjust_trade_position, stake_amount may be fixed or "unlimited". If using "unlimited", you must control the initial entry size in custom_stake_amount; otherwise the first entry can consume all available capital. In either mode, dry_run_wallet must cover the maximum laddered exposure, not just the first entry.
Show full SKILL.md (1,036 more words)Show less

For the first backtest of any new idea on a given pair, do not submit a single config. Submit a 3-variant sweep that varies ONE parameter, run all 3 in parallel, then compare horizontally.

Why: building a config is the expensive cognitive step; running a backtest is cheap. A single result tells you whether one point worked; three neighboring points tell you whether the region works and which direction to iterate.

How to fan out:

  1. Issue all 3 POST /runtime/backtests calls in parallel (different config for each variant; same code unless the variant is a code-level change).
  2. Poll all 3 GET /runtime/backtests/{id} endpoints in parallel each cycle.
  3. Fetch all 3 GET /runtime/backtests/{id} results in parallel once status is completed.

Each backtest runs in isolation, so parallel execution does not slow any single run.

What to vary (pick ONE axis per sweep):

Strategy familyParameter to varyThree variants
Momentum / EMA crossEMA periods5/10/20, 8/13/21, 12/26/50
Trend-followingATR stop multiplier2.0, 3.0, 4.0
Mean-reversion (RSI)Oversold threshold<25, <30, <35
Bollinger BandsStd-dev width1.5, 2.0, 2.5
BreakoutLookback window20, 50, 100 candles

When NOT to sweep:

  • The user pinned specific parameter values ("backtest with EMA 8/21 only").
  • Walk-forward validation on a second pair after a confirmed setup — that should be a single config (sweeping there is parameter overfitting).
  • The user is iterating on a known winner ("now try the same config on ETH").
Result Interpretation

After status = completed, read both GET /runtime/backtests/{id} and GET /runtime/backtests/{id}/logs. Present only metrics actually returned by the Unified API or its framework logs:

  • Total trades — completed round-trips
  • Win rate — percentage of profitable trades
  • Total profit % — net profit as percentage of starting balance
  • Max drawdown — worst peak-to-trough decline
  • Sharpe ratio — risk-adjusted return (>1.0 good, >2.0 excellent)
  • Average trade duration — how long positions are held

Before suggesting deployment, always run a backtest first. If the backtest produced zero trades over a timerange that should have generated signals (e.g. weeks on a 5m timeframe), do not offer deployment — the strategy or pair likely has an issue. If PnL is negative, note the timerange may be unsuitable but don't dismiss the strategy outright. If PnL is positive, present results without overpromising — strong backtest fit can indicate overfitting. Stay neutral and let the user decide.

Sweep Result Comparison

For 3-variant sweeps, present results as a single table (Variant | Config | PnL% | Trades | Sharpe | Max DD), then read the shape:

  • All 3 profitable → pick the best Sharpe (not best PnL — small-sample PnL rewards luck). The parameter region is robust; proceed to walk-forward or deployment.
  • 1–2 profitable → pick the winner, but flag that the parameter is sensitive. Suggest either (a) walk-forward on a second pair as an independent check, or (b) one tighter sweep around the winner.
  • All 3 unprofitable / < 10 trades → the idea doesn't work on this pair. Move to pair-space (different pair, timeframe, or strategy family). Do not sweep again on the same pair.
  • Monotonic edge (e.g. PnL strictly improves 2.0 → 3.0 → 4.0) → the best variant sits at the edge of the grid. Run ONE more variant past it (e.g. 5.0) — don't run another full 3-grid; just extend by one.

Zero-trade rule for sweeps: zeros in 1–2 variants of a sweep are informative (the parameter was too tight), not a failure. Only treat the sweep as failed when ALL 3 variants return zero trades.

Deployment Workflow
  1. POST /runtime/deployments with top-level framework, venue, mode, name, code, and config
  2. Ask the user: live or dry-run?
    • Live: use PUT /runtime/deployments/{id}/credentials with a credential form published by GET /openapi.json
    • Dry-run: Skip the credentials step — the deployment runs in simulation mode (no real funds)
  3. Run the pre-deployment checklist
  4. Show the deployment confirmation summary and wait for explicit user confirmation
  5. PUT /runtime/deployments/{id}/status → {"action": "start"}
  6. Monitor: GET /runtime/deployments/{id}, GET /runtime/deployments/{id}/logs
  7. Stop: PUT /runtime/deployments/{id}/status → {"action": "stop"}
Pre-Deployment Checklist (MANDATORY)

Before PUT /runtime/deployments/{id}/status → {"action":"start"}:

For live deployments (credentials stored):

  1. Account ready — fetch GET /wallet and GET /context/venues. Proceed only when the returned wallet and Hyperliquid capability data show the required support; otherwise report the blocker.
  2. Credentials stored — inspect the credential state returned by GET /runtime/deployments/{id}. If credentials are required, attach the exact contract-defined payload with PUT /runtime/deployments/{id}/credentials.
  3. Identify wallets — GET /runtime/deployments/{id} → note wallet_address (agent wallet) and agent_wallet_address.
  4. Funds available — Check the managed wallet and live Hyperliquid state. Verify stake_amount × max_open_trades fits within available collateral with a fee buffer. If funding is insufficient and Unified API does not publish a venue deposit action, stop and tell the user what funding step remains unavailable.
  5. No existing positions/orders — Check clearinghouseState for open positions on the main wallet. If positions or orders exist, show the user details (pair, side, size, PnL) and ask them to close before deploying — leftover positions can block new entries or cause unexpected margin usage.

For dry-run deployments (no credentials): Skip steps 1–5, the deployment runs in simulation mode without real funds.

  1. Pair is tradeable — POST https://api.hyperliquid.xyz/info → {"type":"meta"} for standard perps, or {"type":"meta", "dex":"xyz"} (or the relevant dex name) for HIP3 pairs. Verify the coin name exists in the universe array.

Do NOT skip any step or assume it passed without the API call.

Getting Funds Back Out

Use POST /wallet/withdraw only with the request shape and verified destination published by the Unified contract. A typed POST /runtime/executions request may place or cancel supported orders; it is not an undocumented exit-all or sub-account transfer primitive. If the required unwind action is absent from GET /openapi.json, report it as unavailable. Every money-moving action requires an exact summary and explicit confirmation first.

Strategy templates and primitives are separate skills in this library. Load one when the user's idea matches it, rather than writing a strategy from scratch.

Strategy templates: dca-weekly, grid-trading, funding-rate-arbitrage, funding-squeeze, basis-arb, breakout, mean-reversion, bollinger-reverter-4h, donchian-strong-regime, scalping

Primitives: regime-overlay (trend gate), dsl-exit-engine (ROI ladder + ratcheting trail), trade-thesis (pre-trade bull/bear case), backtesting (windows, sweeps, walk-forward), fees-optimizations (maker vs taker, fee budgeting)

Market scanning: intelligence — live multi-bucket scoring across Hyperliquid alts and HIP-3, deployed as multi-pair buckets

Other venues: aerodrome (Base spot AMM), lighter, polymarket

Funding an account: deposit-qr (payment QR for a Superior-managed wallet), external-deposit (bridging in from an external wallet)

© Superior-Trade, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/hyperliquid of Superior-Trade/superior-skills.

  • SKILL.md
  • evals/evals.json
  • references/api.md
  • references/strategy-config.md
  • references/troubleshooting.md
  • references/wallets-and-accounts.md

Open the folder on GitHubat commit 9d41db5

Compare with similar skills

Hyperliquid next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hyperliquid compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Aomi Transactjeremylongshore/tons-of-skills-marketplace2.8k—~2.3kAutomated safety check: PassMIT
SupurrLeoYeAI/openclaw-master-skills2.2k—~6.5kAutomated safety check: PassMIT
Minara Crypto Trading and WalletMinara-AI/minara-skills3581 repos~5.7kAutomated safety check: PassNone
Fintoolsecond-state/fintool3161 repos~5.9kAutomated safety check: PassNone

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    Superior-Trade/superior-skills

    A skill your agent uses when running, interpreting, or designing backtests on Superior Trade — anything about backtest windows, trade-count thresholds, exit-reason mix, parameter sweeps…

    214 GitHub starsUsed in 1 repo~2.9k tokens
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Questions about Hyperliquid

What does Hyperliquid do?

A skill your agent uses when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code…. Hyperliquid is an agent skill from Superior-Trade/superior-skills. Use when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code, running sweeps, checking managed-wallet balances, trading HIP-3 perps, or diagnosing a deployment that will not start or trade.

When should I use Hyperliquid?

Hyperliquid fits situations like: checking funding readiness; debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code; checking managed-wallet balances; trading HIP-3 perps.

How do I install Hyperliquid in Claude Code?

Run `npx skills add Superior-Trade/superior-skills --skill hyperliquid -a claude-code`. Or copy the skill folder (skills/hyperliquid in Superior-Trade/superior-skills) into .claude/skills/hyperliquid in your project. Claude Code loads it when a task matches its description.

How do I install Hyperliquid in Codex?

Run `npx skills add Superior-Trade/superior-skills --skill hyperliquid -a codex`. Or copy the skill folder (skills/hyperliquid in Superior-Trade/superior-skills) into .agents/skills/hyperliquid in your project. Codex loads it when a task matches its description.

Can I use Hyperliquid in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Superior-Trade/superior-skills --skill hyperliquid -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hyperliquid, .gemini/skills/hyperliquid, .github/skills/hyperliquid and .opencode/skills/hyperliquid in your project.

What does Hyperliquid need to run?

Going by SKILL.md and its folder, Hyperliquid needs credentials named SUPERIOR_TRADE_API_KEY. Our summary lists: Python 3; A credential in SUPERIOR_TRADE_API_KEY.

Does Hyperliquid access the network?

SKILL.md names 3 domains. In commands or code: account.superior.trade, api.hyperliquid.xyz and api.superior.trade; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Hyperliquid safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Hyperliquid use?

Hyperliquid is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hyperliquid use?

About 5.5k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Hyperliquid?

Skills that share tags, products or a category with Hyperliquid: Nansen Trading (nansen-ai/nansen-cli, 139 stars), Aomi Transact (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Supurr (LeoYeAI/openclaw-master-skills, 2.2k stars) and Minara Crypto Trading and Wallet (Minara-AI/minara-skills, 358 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hyperliquid?

Superior-Trade (a GitHub organization) maintains it in Superior-Trade/superior-skills, which has 214 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 10, 2026.

Source: Superior-Trade/superior-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.