explainx.ainewsletter3.4k
Frontend

grimoire-hyperliquid▌

franalgaba/grimoire · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/franalgaba/grimoire --skill grimoire-hyperliquid
0 commentsdiscussion
summary

Query Hyperliquid market data, order books, metadata, and execute withdrawals via Grimoire CLI.

  • ›Supports six command categories: mid prices, L2 order books, open orders, perpetual metadata, spot metadata, and USDC withdrawals
  • ›Output formats include JSON, table, and spell (for snapshot-based agent inputs); withdrawals require explicit user confirmation and keystore credentials
  • ›Read-only commands (mids, l2-book, open-orders, meta, spot-meta) return market snapshots; stateful withdraw a
skill.md

Grimoire Hyperliquid Skill

Use this skill for Hyperliquid metadata snapshots and, when explicitly requested, withdrawals.

Preferred invocations:

  • grimoire venue hyperliquid ...
  • npx -y @grimoirelabs/cli venue hyperliquid ... (no-install)
  • bun run packages/cli/src/index.ts venue hyperliquid ... (repo-local)
  • grimoire-hyperliquid ... (direct binary from @grimoirelabs/venues)

Recommended preflight:

  • grimoire venue doctor --adapter hyperliquid --json
  • Ensure HYPERLIQUID_PRIVATE_KEY is set before stateful actions (withdraw).

Use --format spell for snapshot params: blocks.

Commands

Read-only data:

  • grimoire venue hyperliquid mids — mid prices for all perp assets
  • grimoire venue hyperliquid l2-book --coin <symbol> — L2 order book for a coin
  • grimoire venue hyperliquid open-orders --user <address> — open orders for an address
  • grimoire venue hyperliquid meta — perp market metadata (universe, margin tables)
  • grimoire venue hyperliquid spot-meta — spot market metadata (tokens, universe)

Snapshot commands (agent-only, generate spell params: blocks):

  • grimoire venue hyperliquid mids-snapshot
  • grimoire venue hyperliquid l2-book-snapshot --coin <symbol>
  • grimoire venue hyperliquid open-orders-snapshot --user <address>
  • grimoire venue hyperliquid meta-snapshot
  • grimoire venue hyperliquid spot-meta-snapshot

Stateful:

  • grimoire venue hyperliquid withdraw --amount <usdc> --keystore <path> [--password-env <name>] [--destination <addr>]

Examples

grimoire venue hyperliquid mids --format table
grimoire venue hyperliquid mids --format spell
grimoire venue hyperliquid l2-book --coin BTC
grimoire venue hyperliquid l2-book --coin BTC --format spell
grimoire venue hyperliquid open-orders --user 0x0000000000000000000000000000000000000000
grimoire venue hyperliquid meta
grimoire venue hyperliquid mids-snapshot
grimoire venue hyperliquid l2-book-snapshot --coin BTC
grimoire venue hyperliquid meta-snapshot

Use -snapshot variants to emit params: blocks for spell inputs. These are agent-only (output suppressed in interactive mode).

Spell Actions

Hyperliquid uses custom action type with op: "order" for order placement:

hyperliquid.custom(op="order", coin="ETH", price="3500", size="0.1", side="buy", order_type="Gtc")

The adapter does not support runtime constraints (max_slippage, etc.). Order parameters are validated at the adapter boundary.

Supported TIF values: Gtc, Ioc, Alo, FrontendMarket.

Metric Surface (Spell Comparisons)

Hyperliquid exposes mid_price for symbol midpoint comparisons:

hl_mid = metric("mid_price", hyperliquid, ETH)

The third argument is the Hyperliquid symbol to read (for example ETH, BTC, SOL).

Notes

  • withdraw is stateful and requires explicit user confirmation plus keystore credentials.
  • mids, l2-book, open-orders, meta, spot-meta are read-only info calls.
  • Use --format spell for snapshot-based spell inputs.
  • Use --format json for meta/spot-meta in automation; --format table shows compact summaries for nested payloads.
  • anvil/cast are EVM tools and are not applicable for Hyperliquid execution/diagnostics.
how to use grimoire-hyperliquid

How to use grimoire-hyperliquid on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add grimoire-hyperliquid
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/franalgaba/grimoire --skill grimoire-hyperliquid

The skills CLI fetches grimoire-hyperliquid from GitHub repository franalgaba/grimoire and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/grimoire-hyperliquid

Reload or restart Cursor to activate grimoire-hyperliquid. Access the skill through slash commands (e.g., /grimoire-hyperliquid) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.7★★★★★31 reviews
  • ★★★★★Sofia Thompson· Dec 24, 2024

    Keeps context tight: grimoire-hyperliquid is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Anika Patel· Nov 15, 2024

    Registry listing for grimoire-hyperliquid matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Anaya Nasser· Oct 6, 2024

    Useful defaults in grimoire-hyperliquid — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Arya Ghosh· Sep 17, 2024

    Keeps context tight: grimoire-hyperliquid is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Luis Gill· Sep 13, 2024

    We added grimoire-hyperliquid from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Sakshi Patil· Sep 9, 2024

    Useful defaults in grimoire-hyperliquid — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Chaitanya Patil· Aug 28, 2024

    Registry listing for grimoire-hyperliquid matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Arya Reddy· Aug 8, 2024

    I recommend grimoire-hyperliquid for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Camila Garcia· Aug 4, 2024

    grimoire-hyperliquid reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Sophia Choi· Jul 27, 2024

    Useful defaults in grimoire-hyperliquid — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

showing 1-10 of 31

1 / 4