investorclaw-llm-config

Configure verification and audit capabilities for InvestorClaw portfolio analysis.

9|2|Updated Mar 18, 2026

Search Tags:#verification #audit #llm #configuration #claude-code #openclaw #investorclaw

Ready to run

npx skills add https://github.com/perlowja/InvestorClaw --skill investorclaw-llm-config

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: investorclaw-llm-config
Source: https://github.com/perlowja/InvestorClaw/tree/main/claude/skills/investorclaw-llm-config
Command: npx skills add https://github.com/perlowja/InvestorClaw --skill investorclaw-llm-config

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Configure verification and audit capabilities for InvestorClaw's portfolio analysis and decision support, enabling traceable, auditable outputs.

Core Features & Use Cases

Selective verification: Enable subagents to spot-check portfolio math and create audit trails for advisor-facing reports.
Consultative LLM setup: Configure a Claude/OpenClaw style consultative layer with local GPU, NGC, or cloud providers for anti-fabrication analysis and narrative enrichment.
Flexible deployment: Supports Claude Code workflows and OpenClaw environments, including model selection, endpoint configuration, and API key management for secure, reproducible analyses.

Quick Start

Run the interactive setup to configure InvestorClaw's LLM verification and consultative options and validate results with a sample analysis.

Frequently Asked Questions about investorclaw-llm-config

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I configure LLM verification for portfolio analysis outputs?▼

To configure LLM verification for portfolio analysis, run the interactive setup to enable subagents that spot-check portfolio math and generate traceable audit trails for advisor-facing reports.

Can I use local GPU and NVIDIA NGC for anti-fabrication analysis in Claude Code?▼

Yes, you can configure a consultative LLM layer selecting local GPU, NVIDIA NGC, or cloud providers to perform anti-fabrication analysis within Claude Code workflows and OpenClaw deployments.

How does audit trail creation work for investment decision support?▼

Audit trail creation for investment decision support works by enabling selective verification subagents to validate portfolio math and log traceable, auditable outputs for advisor-facing reports.

Do I need API key management for secure reproducible LLM analysis?▼

Yes, you need API key management to specify setup steps, model endpoints, and authentication, ensuring secure and reproducible LLM analyses across your configured environments.

What is the best way to set up OpenClaw for auditable investment outputs?▼

The best way to set up OpenClaw for auditable outputs is running the interactive setup to select models, configure endpoints, and validate results with a sample analysis.

Why does LLM configuration matter for portfolio verification?▼

LLM configuration matters for portfolio verification because it enables selective subagent spot-checking and consultative anti-fabrication layers, ensuring math accuracy and traceable audit trails.