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SKILL verified MIT Self-run

Llmquant Data

skill-llmquant-skills-llmquant-data · by LLMQuant

Router skill for LLMQuant Data primitive workflows. Use when the user needs SEC filings, 13F holders, macro snapshots, or source-grounded macro briefs.

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Install

$ agentstack add skill-llmquant-skills-llmquant-data

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

Verified badge

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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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

  1. Identify the user's entity, ticker, macro indicator, period, and requested deliverable.
  2. Select the closest workflow below.
  3. Open only that workflow and any explicitly referenced local resources.
  4. Use LLMQuant Data as the source of external facts.
  5. 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.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.