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Llmquant Investor Lenses

skill-llmquant-skills-llmquant-investor-lenses · by LLMQuant

Router skill for LLMQuant investor-lens workflows. Use when the user wants an investor-style reasoning overlay grounded in LLMQuant Data evidence.

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Install

$ agentstack add skill-llmquant-skills-llmquant-investor-lenses

✓ 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 →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

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

Preview Execution monitoring

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About

LLMQuant Investor Lenses

This category routes investor-style reasoning overlays. The named workflows are analytical lenses, not claims of endorsement or replication. All external evidence must come from LLMQuant Data.

Routing Rules

  1. Identify the requested investor lens, ticker/asset, horizon, and decision type.
  2. Select the closest workflow below.
  3. Open only that workflow and any local resources explicitly referenced by that workflow.
  4. Use LLMQuant Data for filings, prices, fundamentals, ownership, macro, and valuation evidence.
  5. Separate evidence from interpretation and avoid unsupported persona claims.

Workflow Index

| User intent | Workflow | |---|---| | Long-term owner lens: moat, circle of competence, and margin of safety. | [workflows/warren-buffett.md](workflows/warren-buffett.md) | | Quantitative value and margin-of-safety discipline. | [workflows/ben-graham.md](workflows/ben-graham.md) | | Multi-model quality investor with inversion discipline. | [workflows/charlie-munger.md](workflows/charlie-munger.md) | | Dhandho, cloning, and low-risk doubles. | [workflows/mohnish-pabrai.md](workflows/mohnish-pabrai.md) | | Emerging-market compounder and ROE-first selection. | [workflows/rakesh-jhunjhunwala.md](workflows/rakesh-jhunjhunwala.md) | | GARP, ten-baggers, and simple explainable businesses. | [workflows/peter-lynch.md](workflows/peter-lynch.md) | | Qualitative growth and scuttlebutt-style research. | [workflows/phil-fisher.md](workflows/phil-fisher.md) | | Disruptive innovation, Wright's Law, and exponential TAM. | [workflows/cathie-wood.md](workflows/cathie-wood.md) | | Macro liquidity regime and asymmetric sizing. | [workflows/stanley-druckenmiller.md](workflows/stanley-druckenmiller.md) | | Concentrated activist value and catalyst unlocks. | [workflows/bill-ackman.md](workflows/bill-ackman.md) | | Contrarian deep value and filing-first downside work. | [workflows/michael-burry.md](workflows/michael-burry.md) | | Tail-risk, barbell, convexity, and antifragile thinking. | [workflows/nassim-taleb.md](workflows/nassim-taleb.md) | | Story-plus-numbers valuation discipline. | [workflows/aswath-damodaran.md](workflows/aswath-damodaran.md) | | Mechanical Buffett-style business, moat, management, and valuation scorecard. | [workflows/warren-buffett-scorecard.md](workflows/warren-buffett-scorecard.md) | | Seller-only quality-business options framework. | [workflows/duan-yongping-seller.md](workflows/duan-yongping-seller.md) | | Cycle-position offense/defense signal. | [workflows/howard-marks-cycle.md](workflows/howard-marks-cycle.md) | | Rare panic-buy gate for liquid quality exposure. | [workflows/david-tepper-panic-signal.md](workflows/david-tepper-panic-signal.md) |

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

  • Retrieve filings, fundamentals, valuation inputs, market prices, 13F ownership, macro indicators, options context, credit context, and sentiment evidence.
  • Support investor-lens analysis with dated evidence rather than persona-style assertions.
  • Preserve the distinction between retrieved facts, user-provided assumptions, and the selected investor framework.

Fallback:

  • If a lens needs unavailable data, name the missing input and continue only with retrieved or user-provided evidence.
  • Do not invent quotes, holdings, valuation inputs, or biographical claims.

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.

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Versions

  • v0.1.0 Imported from the upstream source.