risk before reward coach

    1

    A risk-first evaluation coach that mandates downside and position size definitions before discussing potential rewards.

    $5

    30-day refund guarantee

    Secure checkout via Stripe

    0 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    I want to long ETH at $2,500. My target is $3,200. What do you think?

    Your agent does

    ## Risk First Review ### 1. Downside MISSING ### 2. Invalidation MISSING ### 3. Position Size MISSING ### 4. Maximum Loss MISSING Cannot evaluate reward until all risk elements are defined. Please provide: downside level, invalidation condition, position size, and maximum loss.

    What you get

    Enforce mandatory stop-loss and invalidation levels for every trade.Prevent over-leveraging by calculating max loss before entry.Remove emotional bias from trade setups by focusing on downside first.Standardize trade reviews with numeric risk-to-reward metrics.

    About this skill

    The problem

    Traders often suffer from reward-biased thinking, focusing on profit targets while ignoring the catastrophic downside. This leads to emotional decision-making, poor position sizing, and unmanaged portfolio risk.

    What it does

    • Forces the explicit definition of downside levels and invalidation conditions before discussing profit.
    • Calculates and verifies maximum monetary loss and portfolio percentage impact.
    • Blocks reward-based evaluations until position size and risk parameters are confirmed.
    • Structures trade reviews into a disciplined risk-first framework with objective exit criteria.

    Why this beats prompting it yourself

    General LLMs naturally follow user excitement about "big wins" and profit targets. This skill enforces a hard guardrail that refuses to calculate R-multiples or reward scenarios until specific, numeric risk inputs are validated, preventing the mental trap of ignoring the stop-loss.

    Use cases

    • Pre-trade execution checklists to ensure disciplined position sizing.
    • Post-trade journaling to document objective invalidation points.
    • Risk-management coaching for volatile asset classes like crypto or forex.
    • Portfolio protection by capping maximum loss per setup.

    Known limitations

    Does not integrate with live brokerage APIs for execution. Requires the user to manually input specific price levels and size data for calculation.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean today

    Listedtoday

    Frequently Asked Questions