llm-validator
CommunityDeterministic LLM vetting for trading signals.
Software Engineering#caching#openai#prompt-design#trading-signals#cost-tracking#signal-filter#llm-validator
Authorbitandbytes
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The LLM Validator provides a structured, cost-aware gate that analyzes qualitative risks for actionable signals, ensuring only vetted signals reach risk management and execution.
Core Features & Use Cases
- Implement the LLMValidator as a deterministic, priced gate between the meta-model and risk manager, including prompts, caching, and token tracking.
- Support tests with mocked OpenAI responses and integration wiring into the pipeline.
- Handle per-ticker signals, context curation (news, earnings, sector), and cost controls to minimize API usage.
Quick Start
Run the LLM Validator in your trading pipeline to assess a high-confidence signal before execution.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llm-validator Download link: https://github.com/bitandbytes/Argus/archive/main.zip#llm-validator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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