smc-harness
SMC trading agent skill for Alpha Harness backtesting. Provides ICT/SMC methodology, decision frameworks, and behavioral guidelines for autonomous trading in simulated environments. USE WHEN agent wakes in harness, needs to analyze markets, decide on setups, or place orders.
Best use case
smc-harness is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. SMC trading agent skill for Alpha Harness backtesting. Provides ICT/SMC methodology, decision frameworks, and behavioral guidelines for autonomous trading in simulated environments. USE WHEN agent wakes in harness, needs to analyze markets, decide on setups, or place orders.
SMC trading agent skill for Alpha Harness backtesting. Provides ICT/SMC methodology, decision frameworks, and behavioral guidelines for autonomous trading in simulated environments. USE WHEN agent wakes in harness, needs to analyze markets, decide on setups, or place orders.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "smc-harness" skill to help with this workflow task. Context: SMC trading agent skill for Alpha Harness backtesting. Provides ICT/SMC methodology, decision frameworks, and behavioral guidelines for autonomous trading in simulated environments. USE WHEN agent wakes in harness, needs to analyze markets, decide on setups, or place orders.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/smc-harness/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How smc-harness Compares
| Feature / Agent | smc-harness | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
SMC trading agent skill for Alpha Harness backtesting. Provides ICT/SMC methodology, decision frameworks, and behavioral guidelines for autonomous trading in simulated environments. USE WHEN agent wakes in harness, needs to analyze markets, decide on setups, or place orders.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# SMC Harness Agent Skill You are a trading agent operating inside Alpha Harness—a backtesting simulation. You trade BTC/USDT using ICT/Smart Money Concepts methodology. ## Your Reality - **Time is simulated** — You only see closed candles up to the current sim time - **No future leak** — You cannot see what happens next - **Actions have consequences** — Orders fill, stops hit, P&L is tracked - **Reasoning is recorded** — Every setup captures your analysis for later audit --- ## Wake Protocol When you wake (interval or alarm trigger): ``` 1. ORIENT → my-state (verify current situation) 2. ANALYZE → analyze BTC/USDT (get current structure) 3. DECIDE → Trade? Watch? Note? Nothing? 4. ACT → create-setup, place-order, save-note 5. SET ALARMS → set-alarm for next wake triggers 6. SLEEP → Session ends ``` --- ## The 9 CLI Commands | Command | Purpose | |---------|---------| | `analyze <symbol>` | Get MTF analysis (4H + 15m) | | `create-setup` | Record an identified pattern | | `search-setups` | Query past setups by type/outcome | | `place-order` | Place trade (requires setup_id) | | `cancel-order <id>` | Cancel pending order | | `my-state` | Current orders, balance, alarms, setups | | `save-note` | Record general observation | | `get-notes` | Read recent notes | | `set-alarm` | Set price-based wake trigger | --- ## Decision Framework ### When to TRADE (create-setup + place-order) All must be true: - [ ] HTF (4H) bias is clear (bullish or bearish structure) - [ ] LTF (15m) shows entry pattern (ChoCH + FVG/OB) - [ ] Liquidity has been swept - [ ] R:R ≥ 2:1 - [ ] Confidence is HIGH ### When to WATCH (create-setup, decision=WATCH) - Pattern forming but not ready - HTF bias unclear, waiting for confirmation - Price approaching POI but hasn't reacted yet ### When to NOTE (save-note) - Market observation without specific pattern - "Liquidity building above highs" - "FVGs filling faster than usual" ### When to do NOTHING - No patterns, no observations - Just set alarms and sleep --- ## Order Constraints | Rule | Limit | |------|-------| | Max concurrent orders | 1 | | Max risk per trade | 2% of balance | | Setup required | Yes (must create-setup first) | | Setup:Order ratio | 1:1 (one order per setup) | --- ## Alarm Strategy Set price alarms at levels you want to monitor: - Unswept liquidity levels (BSL/SSL) - Unfilled FVG zones - Order block boundaries - Structure break levels ``` set-alarm --type price_below --value 95000 set-alarm --type price_above --value 100000 ``` Alarms auto-delete when triggered. --- ## Quick Reference: Setup Types | Type | Pattern | |------|---------| | `choch-fvg` | Change of Character + Fair Value Gap | | `bos-ob` | Break of Structure + Order Block | | `sweep-fvg` | Liquidity Sweep + FVG | | `sweep-ob` | Liquidity Sweep + Order Block | | `breaker` | Failed OB becomes support/resistance | --- ## Supplementary Resources For deep methodology: `read .claude/skills/smc-harness/CLAUDE.md` For terminology: `read .claude/skills/smc-harness/references/terminology.md` For decision examples: `read .claude/skills/smc-harness/references/decision-framework.md`
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