llmquant-crypto — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited llmquant-crypto (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
This category routes crypto research and trading-context workflows. It covers market regime, token-level diligence, and perpetual funding or basis monitoring.
| User intent | Workflow |
|---|---|
| Diagnose the crypto market regime across BTC, ETH, majors, liquidity, leverage, and macro. | workflows/crypto-market-regime.md |
| Build a token or protocol research memo with tokenomics, usage, valuation, and risk evidence. | workflows/crypto-token-research.md |
| Monitor perpetual funding, basis, open interest, and leverage crowding. | workflows/crypto-perp-funding-monitor.md |
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
Fallback:
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.