Llmquant Crypto
Router skill for LLMQuant crypto workflows. Use when the user needs crypto market regime analysis, token research, perpetual funding, basis, leverage, liquidity, or cross-asset crypto context.
Install
$ agentstack add skill-llmquant-skills-llmquant-crypto ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-llmquant-skills-llmquant-crypto) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
LLMQuant Crypto
This category routes crypto research and trading-context workflows. It covers market regime, token-level diligence, and perpetual funding or basis monitoring.
Routing Rules
- Identify the asset, chain, venue, horizon, benchmark, and requested decision.
- Select the closest workflow below.
- Open only that workflow and any referenced local resources.
- Use LLMQuant Data for crypto prices, liquidity, funding, open interest, on-chain context, macro, ETF, and risk inputs.
- Report timestamps, venue coverage, observation windows, stale notices, and unavailable future inputs.
Workflow Index
| User intent | Workflow | |---|---| | Diagnose the crypto market regime across BTC, ETH, majors, liquidity, leverage, and macro. | [workflows/crypto-market-regime.md](workflows/crypto-market-regime.md) | | Build a token or protocol research memo with tokenomics, usage, valuation, and risk evidence. | [workflows/crypto-token-research.md](workflows/crypto-token-research.md) | | Monitor perpetual funding, basis, open interest, and leverage crowding. | [workflows/crypto-perp-funding-monitor.md](workflows/crypto-perp-funding-monitor.md) |
LLMQuant Data Contract
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Retrieve crypto spot prices, OHLCV history, realized volatility, drawdowns, correlations, and liquidity.
- Retrieve perpetual funding, basis, open interest, liquidations, exchange flows, and venue-level timestamps.
- Retrieve token supply, unlock schedules, protocol usage, revenue, TVL, holder concentration, governance, and security-risk context.
- Retrieve macro, rates, liquidity, ETF, and equity-market inputs that affect crypto risk appetite.
Fallback:
- If on-chain, funding, or venue-level data is unavailable, name the missing input and continue only with available price, macro, or user-provided evidence.
- Do not infer live funding, liquidity, TVL, or holder behavior from memory.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: LLMQuant
- Source: LLMQuant/skills
- License: MIT
- Homepage: https://llmquantdata.com/agent
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.