llmquant-data — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited llmquant-data (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 data-primitive research tasks to focused workflows. Use it when the user needs a direct LLMQuant Data-backed answer before any higher-level strategy or portfolio overlay.
| User intent | Workflow |
|---|---|
| Review business, risk, and MD&A evidence from a company's 10-K. | workflows/10k-risk-review.md |
| Identify top 13F managers holding a ticker and crowding signals. | workflows/ticker-smart-money-holders.md |
| Build a compact U.S. macro regime snapshot. | workflows/us-macro-snapshot.md |
| Compose a market-facing macro brief from macro, market, and research inputs. | workflows/macro-brief.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.