Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/ggbond-bo/memomics-agent/hyperliquidnpx skills add GGbond-bo/MemOmics-Agent --skill hyperliquidgit clone --depth 1 https://github.com/GGbond-bo/MemOmics-AgentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ggbond-bo/memomics-agent/hyperliquid)<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/hyperliquid"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/hyperliquid.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00016 | $0.01891 |
| Opus 5 | $0.00008 | $0.00945 |
| Sonnet 5 | $0.00003 | $0.00378 |
| Haiku 4.5 | $0.00002 | $0.00189 |
Grade A, and why
hyperliquid scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
(`urllib`, `json`, `argparse`). This is a copy
100% identical to hyperliquid — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 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]
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 212 lines · 16 tokens per session scan A 5dbf6d0a355e
hyperliquid is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (19 stars, last pushed 3d ago), licensed MIT. It adds 16 tokens to every session and 1,891 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to hyperliquid, differing in 32 lines, and is treated as a copy.
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