Install
$ agentstack add skill-llmquant-skills-llmquant-data ✓ 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.
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 Data
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.
Routing Rules
- Identify the user's entity, ticker, macro indicator, period, and requested deliverable.
- Select the closest workflow below.
- Open only that workflow and any explicitly referenced local resources.
- Use LLMQuant Data as the source of external facts.
- Report returned dates, filing periods, coverage notices, and missing inputs.
Workflow Index
| User intent | Workflow | |---|---| | Review business, risk, and MD&A evidence from a company's 10-K. | [workflows/10k-risk-review.md](workflows/10k-risk-review.md) | | Identify top 13F managers holding a ticker and crowding signals. | [workflows/ticker-smart-money-holders.md](workflows/ticker-smart-money-holders.md) | | Build a compact U.S. macro regime snapshot. | [workflows/us-macro-snapshot.md](workflows/us-macro-snapshot.md) | | Compose a market-facing macro brief from macro, market, and research inputs. | [workflows/macro-brief.md](workflows/macro-brief.md) |
LLMQuant Data Contract
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
- Read SEC filings and specific filing sections such as business, risk factors, and MD&A.
- Query 13F holder lists, manager holdings, and ownership concentration for a ticker.
- Retrieve macro indicator snapshots, histories, release dates, and metadata.
- Retrieve market prices, crypto snapshots, research knowledge, and paper/wiki context when relevant.
Fallback:
- If LLMQuant Data or a compatible data MCP is unavailable, ask for user-provided data or name the missing inputs.
- Continue only with retrieved or user-provided evidence and label inference separately.
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.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.