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Grok Bot+18 agentsTrader Discipline & Risk Command Center Skill
Enforce trading discipline with automated risk math, position sizing, scenario planning, and post-trade journaling.
$29.99
Trader Discipline & Risk Command Center Skill
Example session with this skill installed
I want to long NQ at 18200 with a stop at 18150. Account size is $50,000, risk budget is 1%. Targets are 18350 and 18500. $20/pt multiplier. Check this plan.
- Read your context and instructions
- Compiled the trader discipline
I have analyzed your long setup for NQ. The math is based on a $500 risk budget (1% of $50,000) and a 50-point stop distance.
Pre-Trade Risk Analysis
| Metric | Value | Notes |
|---|---|---|
| Instrument | NQ (Long) | Multiplier: $20/point |
| Entry / Stop | 18200 / 18150 | Distance: 50 pts |
| Risk Per Unit | $1,000 | 50 pts × $20 (Excludes fees/slippage) |
| Risk Budget | $500 | 1% of $50,000 account |
| Position Size | 0.5 Units | Size Alert: Budget is less than 1 full contract risk. |
| Target 1 (18350) | 3.00 R/R | $3,000 potential reward / $1,000 risk |
| Target 2 (18500) | 6.00 R/R | $6,000 potential reward / $1,000 risk |
Scenario Plan
- Favorable (Bullish): Price holds 18200 and moves to 18350. Action: Trim 50% and move stop to break-even.
Neutral: Price chops between 18180 and 18220 for 4 hours.
Action: Close position if momentum fails to materialize.
- Adverse (Bearish): Price hits 18150. Action: Hard stop exit. Do not average down or widen stop.
Discipline Check
- Entry and Stop are coherent for a Long position.
- Reward/Risk ratio is > 2:1 for all targets.
- [!]
Alert: Your risk budget ($500) is smaller than the risk of a single mini contract ($1,000). Consider Micro NQ (MNQ) to stay within 1% risk.
- No evidence of "revenge trading" or recovery logic.
Next steps
- Recalculate size using Micro NQ (MNQ) to align with the $500 risk budget.
- Confirm the 18150 stop is outside of local ATR/volatility noise.
- Record this plan in your journal before execution.
Connects securely to your tools. The creator never sees your data.
About this skill
Emotional trading and poor risk management blow up accounts. This skill enforces a clinical, math-based approach to every trade by automating the pre-trade checklist, position sizing, and post-trade journaling process.
What it does
- Risk Math: Calculates per-unit risk and position sizing based on stop-loss distance and account risk budget.
- Scenario Planning: Maps out bullish, base, and bearish scenarios with specific trigger conditions and invalidation points.
- Rule Enforcement: Flags violations of user-defined discipline rules, such as averaging down or exceeding concentration limits.
- Exposure Analysis: Checks portfolio concentration and correlated exposure to prevent over-leveraging.
- Trade Journaling: Generates structured post-trade reviews to track rule adherence and execution quality.
How it works
- Input: Provide the instrument, entry, stop, target, and account risk parameters.
- Analysis: The skill runs a discipline checklist and validates the coherence of the trade plan.
- Calculation: It outputs precise position sizing and reward-to-risk ratios based on your specific stop distance.
- Planning: It builds a scenario matrix for favorable, neutral, and adverse market movements.
- Review: After the trade, provide the fills to generate a structured journal entry.
Frameworks & tools
This skill functions as a standalone logic layer for trading discipline. It works with any market data or broker platform by processing user-provided prices, account balances, and instrument specifications.
Why this beats prompting it yourself
Standard prompts often ignore the impact of slippage, gaps, and lot size constraints. This skill uses a rigid workflow that refuses to calculate size without a stop-loss and enforces strict separation between planned risk and reward probability.
Use cases
- Verify position sizing before hitting the buy button on a volatile setup.
- Build a structured plan for how to manage a trade if it hits a neutral trigger.
- Conduct a post-mortem on a losing trade to identify discipline lapses.
- Audit a portfolio for correlated exposure across multiple instruments.
Known limitations
Does not provide live market data or automated execution. Calculations are based entirely on user-provided inputs and do not account for real-time broker margin changes or overnight gap risks.
Requires manual input of prices and account stats. Does not fetch live market data. Position sizing assumes static stops and does not account for dynamic slippage or gapping beyond estimates.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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