Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/galleonlabs/hypergrok-trading-desknpx agentmods add skills/galleonlabs/hypergrok-trading-desk/hyperliquid-market-dataWrote 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/galleonlabs/hypergrok-trading-desk/hyperliquid-market-data)<a href="https://agentmods.dev/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-market-data"><img src="https://agentmods.dev/badge/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-market-data/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-market-data"><img src="https://agentmods.dev/badge/skills/galleonlabs/hypergrok-trading-desk/hyperliquid-market-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 3 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 5.1 | $0.00089 | $0.04020 |
| Opus 5.5 | $0.00036 | $0.01608 |
| Sonnet 5.5 | $0.00018 | $0.00804 |
| Haiku 4.5 | $0.00009 | $0.00402 |
Grade B, and why
hyperliquid-market-data scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
hl() { curl -sS -m 15 -X POST "$BASE/info" -H 'Content-Type: application/json' -d "$1"; } Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: Read live Hyperliquid market data from the desk computer with curl or the Python SDK - mid, mark and oracle prices, order book depth, funding (current, predicted, historical), open interest, volume, candles, How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hyperliquid market data
All reads are POST /info with a JSON body; no key, no signing. Market data is usually read from mainnet even when the desk trades on testnet, because testnet prices and books are thin; say which network a figure came from. Every figure the desk reports carries source (request type), network and UTC time.
BASE=https://api.hyperliquid.xyz # or https://api.hyperliquid-testnet.xyz
hl() { curl -sS -m 15 -X POST "$BASE/info" -H 'Content-Type: application/json' -d "$1"; }
Python header (SDK):
from hyperliquid.info import Info
from hyperliquid.utils import constants
info = Info(constants.MAINNET_API_URL, skip_ws=True) # TESTNET_API_URL for testnet
Read-only snapshot contract
Run python3 scripts/opening_bell.py --schema or python3 scripts/desk_doctor.py --schema to inspect their machine-readable contracts without file or network reads. With --json, successful output carries schema_version: 1 and mode: read-only; invalid arguments return a JSON error with exit 2, while unavailable snapshot data or failed doctor checks exit 1. Decimal quantities remain strings. A depth floor is still a floor: inspect each bid_complete/ask_complete flag, and do not promote a doctor's WARN or offline SKIP to trading readiness.
python3 scripts/opening_bell.py --coin ETH --json
python3 scripts/opening_bell.py --coin kPEPE --json
python3 scripts/opening_bell.py --coin xyz:TSLA --json
python3 scripts/opening_bell.py --dex xyz --coin TSLA --testnet --json
A HIP-3 snapshot requests metaAndAssetCtxs with the explicit DEX and l2Book with the canonical prefixed coin from that universe. It retains the metadata's spelling and reports coin, dex, precision and leverage metadata; unknown, ambiguous or delisted markets fail before the book request. Metadata fields absent from the response are null, never invented. --testnet selects the official testnet origin; an explicit different --base-url is labelled custom and included in the source. Read-only discovery does not enable HIP-3 execution or transfer collateral; the desk's opt-in and ticket rules still apply.
What ships with it
2 files 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.
- 2d ago Changed 58ba7117b795
- 15d ago Changed · -8 lines 2b28faf0a7d9
- 19d ago Changed · +13 lines eda18e6b1910
- 1mo ago Changed · +6 lines 83641f59e54a
- 1mo ago First seen · 168 lines · 89 tokens per session scan B 073cd5dee558
hyperliquid-market-data is a skill published in the GitHub repository galleonlabs/hypergrok-trading-desk (213 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 4,020 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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