Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nirholas/three.ws/trade-execution-checklistnpx skills add nirholas/three.ws --skill trade-execution-checklistgit clone --depth 1 https://github.com/nirholas/three.wsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nirholas/three.ws/trade-execution-checklist)<a href="https://agentmods.dev/skills/nirholas/three.ws/trade-execution-checklist"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/trade-execution-checklist.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.01091 |
| Opus 5 | $0.00017 | $0.00545 |
| Sonnet 5 | $0.00007 | $0.00218 |
| Haiku 4.5 | $0.00003 | $0.00109 |
Grade A, and why
trade-execution-checklist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Execution Checklist
When to use this skill
Use when the user:
- Is about to execute a trade and wants a sanity check
- Needs help with position sizing and risk management
- Wants a structured framework for trade planning
- Asks about stop-loss placement or take-profit levels
- Needs to evaluate their risk-reward ratio before entering
Pre-Trade Checklist
1. Trade Thesis Validation
Before any execution, confirm:
- Clear thesis: Can you state in one sentence why this trade should work?
- Catalyst: What will drive the price in your direction? (news, technical level, on-chain event)
- Timeframe: Is this a scalp (hours), swing (days-weeks), or position (weeks-months)?
- Edge identification: What do you know or see that the market might not be pricing in?
- Invalidation: At what specific price or condition is your thesis wrong?
2. Position Sizing
Calculate appropriate size using these rules:
- Risk per trade: Never risk more than 1-2% of total portfolio on a single trade
- Position size formula: Position Size = (Portfolio * Risk %) / (Entry - Stop Loss)
- Maximum position: Even with tight stops, cap single positions at 5-10% of portfolio
- Correlation check: Are you already exposed to this sector? Avoid stacking correlated positions
Example calculation:
- Portfolio: $50,000
- Risk per trade: 2% = $1,000
- Entry: $100, Stop loss: $90 (10% away)
- Position size: $1,000 / $10 = 100 units = $10,000 (20% of portfolio)
3. Entry Strategy
Plan the entry method:
- Limit vs market: Use limit orders for better fills unless momentum is urgent
- Scaling in: Consider entering in 2-3 tranches (e.g., 40/30/30) to average entry
- Slippage awareness: For low-liquidity tokens, check order book depth first
- Gas timing: For on-chain trades, check gas prices and consider low-activity periods
- DEX vs CEX: Compare execution costs including gas, fees, and slippage
4. Risk Management Setup
Configure protective measures before entering:
- Stop loss: Place immediately after entry — never trade without one
- Below recent swing low for longs
- Above recent swing high for shorts
- Account for typical volatility — avoid stops within normal noise range
- Take profit targets: Set at least 2 levels
- TP1: 1:1.5 risk-reward — take 50% off
- TP2: 1:3 risk-reward — take remaining or trail stop
- Risk-reward ratio: Minimum 1:1.5, ideally 1:2 or better
- Maximum loss scenario: If everything goes wrong, what do you lose?
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 105 lines · 34 tokens per session scan A 541510a9fd5d
trade-execution-checklist is a skill published in the GitHub repository nirholas/three.ws (110 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 1,091 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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