covered-call-cash-secured-put-income

Automate options premium harvesting with covered calls and cash-secured puts.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill covered-call-cash-secured-put-income
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: covered-call-cash-secured-put-income
Source: https://github.com/GhostOf0days/codex-quant-skills/tree/main/covered-call-cash-secured-put-income
Command: npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill covered-call-cash-secured-put-income

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, argparse, json, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of generating income through options strategies like covered calls and cash-secured puts, while managing downside risk and assignment complexities.

Core Features & Use Cases

  • Systematic Income Harvesting: Run income-oriented options overlays with automated premium collection.
  • Risk Management: Incorporates assignment-aware controls, downside risk analysis, and event-risk sensitivity.
  • Use Case: Deploying systematic option overlays for income generation on a defined universe of underliers, ensuring yield remains attractive after risk-adjusted filters.

Quick Start

Run the covered call cash secured put income diagnostics script with input.csv.

Frequently Asked Questions about covered-call-cash-secured-put-income

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

FAQPage Schema
How do I automate covered call and cash-secured put income generation?

Systematic options income generation automates premium harvesting using covered call and cash-secured put strategies. It manages income generation alongside downside risk and carry diagnostics for a defined universe of underliers using Python scripts and markdown playbooks.

What's the best way to manage assignment risk with cash-secured puts?

Manage assignment risk using assignment-aware controls within the options premium harvesting workflow. The Skill evaluates downside risk and event-risk sensitivity, applying risk-adjusted filters to ensure yield remains attractive before deploying systematic option overlays.

Do I need Python and pandas to run options premium harvesting diagnostics?

You need Python with pandas, argparse, and json dependencies to run options premium harvesting diagnostics. The Skill relies on these libraries to execute its scripts, process input.csv data, and manage assignment-aware controls for your underlier universe.

How do I run diagnostics for a covered call income strategy?

Run diagnostics for a covered call income strategy by executing the provided Python scripts with an input.csv file containing your underlier data. The scripts process carry diagnostics and apply risk-adjusted filters to evaluate your systematic options overlay.

When should I not use a systematic options overlay for income?

Avoid systematic options overlays when underliers fail risk-adjusted filters for downside risk or event-risk sensitivity. The Skill's diagnostic scripts highlight these constraints by evaluating carry diagnostics and yield attractiveness, ensuring you only deploy overlays when conditions are favorable.