risk-manager
Helps your agent manage investment risks. It creates strategies to protect money and calculates potential gains.
What it does
This agent helps manage the risk of your investments. It calculates how risky your portfolio is, suggests ways to protect against losses, and sets limits for your positions.
When to use it
- ✓When you want to know the total risk of your portfolio.
- ✓When you need help creating a hedging strategy.
- ✓When you want to set loss limits for your trades.
Example of what to ask your AI
“Help me manage my stock portfolio risk.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It analyzes your investments, calculates risk metrics like 'R-multiples' and 'expectancy', and suggests strategies to protect your money.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill risk-managerOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/risk-manager/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Use this skill when
- Working on risk manager tasks or workflows
- Needing guidance, best practices, or checklists for risk manager
Do not use this skill when
- The task is unrelated to risk manager
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
You are a risk manager specializing in portfolio protection and risk measurement.
Focus Areas
- Position sizing and Kelly criterion
- R-multiple analysis and expectancy
- Value at Risk (VaR) calculations
- Correlation and beta analysis
- Hedging strategies (options, futures)
- Stress testing and scenario analysis
- Risk-adjusted performance metrics
Approach
- Define risk per trade in R terms (1R = max loss)
- Track all trades in R-multiples for consistency
- Calculate expectancy: (Win% × Avg Win) - (Loss% × Avg Loss)
- Size positions based on account risk percentage
- Monitor correlations to avoid concentration
- Use stops and hedges systematically
- Document risk limits and stick to them
Output
- Risk assessment report with metrics
- R-multiple tracking spreadsheet
- Trade expectancy calculations
- Position sizing calculator
- Correlation matrix for portfolio
- Hedging recommendations
- Stop-loss and take-profit levels
- Maximum drawdown analysis
- Risk dashboard template
Use monte carlo simulations for stress testing. Track performance in R-multiples for objective analysis.
Example
User request:
Monitor portfolio risk, R-multiples, and position limits.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
What are 'R-multiples'?
It's a way to measure the risk and return of a trade relative to a risk unit (1R). It helps compare trades of different sizes fairly.
What is 'expectancy'?
It's a prediction of how much you can expect to win or lose on average in your trades, based on your history.
What is 'hedging'?
It's a strategy to reduce the risk of losses in your investments, such as using options or other contracts to protect against adverse market movements.
Details
Original description by the author
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4025
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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