risk-management

Manage operational risk controls and diagnose limit breaches for trading desks.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill risk-management-ghostof0days
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: risk-management
Source: https://github.com/GhostOf0days/codex-quant-skills/tree/main/risk-management
Command: npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill risk-management-ghostof0days

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the critical need for real-time operational risk management, ensuring trading desks adhere to limits and incidents are handled with clear escalation and remediation workflows.

Core Features & Use Cases

  • Limit Governance: Define and monitor trading limits across desks.
  • Incident Response: Manage breaches with documented timelines and post-mortem analysis.
  • Live Control Operations: Implement automated blocking and mandatory acknowledgements for risk events.
  • Use Case: When a trading desk approaches a pre-defined risk limit, this Skill can automatically flag the breach, initiate an escalation to the risk manager, and track the remediation steps until the incident is resolved.

Quick Start

Use the risk-management skill to run diagnostics on the input data file 'trading_data.csv'.

Frequently Asked Questions about risk-management

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

FAQPage Schema
How do I manage operational risk and limit breaches for a trading desk?

Operational risk management for trading desks involves monitoring limit governance, automating escalation policies, and tracking remediation workflows. This Skill uses Python scripts to run diagnostics on trading data, flagging limit breaches and documenting incident response timelines.

How does incident response work for trading limit violations?

Incident response for trading limit violations requires documented timelines and post-mortem analysis. This Skill manages breaches by initiating escalations to risk managers, implementing automated blocking, and tracking mandatory acknowledgements until the incident is resolved.

Can I use Python and pandas to monitor live trading controls?

Yes, you can use Python and pandas to monitor live trading controls. This Skill requires pandas to process trading data files, running deterministic diagnostics to evaluate limit breaches, response times, and control effectiveness for operational risk events.

What is limit governance and how do I automate escalation policies?

Limit governance defines and monitors trading limits across desks, while escalation policies automate notifications when breaches occur. This Skill provides reference documents for playbooks and uses scripts to evaluate limit breaches against pre-defined risk thresholds.

How do I run diagnostics on trading data to check control effectiveness?

To run diagnostics on trading data, process your input file through the provided Python scripts. This evaluates control effectiveness by checking for limit breaches, measuring response times, and generating deterministic diagnostics for operational risk events.

Does this risk management Skill require specific input formats for limit governance?

Yes, limit governance requires structured trading data, specifically a CSV input file like 'trading_data.csv'. The Skill uses argparse and json dependencies alongside pandas to parse the data and execute diagnostics on pre-defined risk limits.