smc-harness
Build disciplined simulated BTC trade plans
Simulated trading agents need consistent rules for turning market observations into documented decisions. This skill applies ICT/SMC structure, entry criteria, and risk limits to BTC/USDT backtesting workflows.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "smc-harness" from https://skillstore.io/skills/aaronabuusama-smc-harness.md and its manifest at https://skillstore.io/api/skills/aaronabuusama-smc-harness/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "smc-harness". Assess a possible long after a sell-side liquidity sweep.
Expected outcome:
- 4H bias: bullish while price remains in the discount area.
- 15-minute sweep: confirmed below the prior swing low.
- Decision: watch until a bullish change of character and FVG entry form.
Using "smc-harness". Create a simulated trade after full bullish confirmation.
Expected outcome:
- Decision: trade after aligned 4H bias, liquidity sweep, 15-minute change of character, and bullish FVG.
- Risk plan: stop below the swept low and target opposing liquidity with at least 2:1 R:R.
- Record the setup reasoning before placing one simulated order.
Using "smc-harness". Review a conflicting timeframe signal.
Expected outcome:
Decision: no trade. A bullish 15-minute signal conflicts with the bearish 4H bias, so the workflow treats it as a possible counter-trend bounce and waits for alignment.
Security Audit
SafeAll 27 static findings are false positives. The flagged phrases document simulated trading commands and workflow steps; they do not execute shell code or perform system reconnaissance. No prompt injection, data exfiltration, or malicious intent was found in the reviewed context.
Risk Factors
โ๏ธ External commands (20)
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APA citation
AaronAbuUsama. (2026). smc-harness security audit report (audit version 11) [Author version unspecified]. Skillstore. https://skillstore.io/skills/aaronabuusama-smc-harness/audits/11BibTeX citation
@techreport{aaronabuusama-aaronabuusama-smc-harness-2026,
author = {AaronAbuUsama},
title = {smc-harness security audit report (audit version 11)},
institution = {Skillstore},
year = {2026},
number = {11},
url = {https://skillstore.io/skills/aaronabuusama-smc-harness/audits/11},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "smc-harness security audit report (audit version 11)"
version: "unspecified"
type: report
authors:
- name: "AaronAbuUsama"
date-released: "2026-07-21"
url: "https://skillstore.io/skills/aaronabuusama-smc-harness/audits/11"
identifiers:
- type: other
value: "skillstore:aaronabuusama-smc-harness:audit:11"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Practice structured backtesting
Apply repeatable ICT/SMC rules to simulated BTC/USDT sessions and review each recorded decision.
Build an auditable trading agent
Require a simulated agent to record its bias, entry logic, risk, and targets before placing an order.
Review strategy discipline
Compare watch and trade decisions against fixed confluence and risk requirements after a backtest.
Try These Prompts
Use the SMC Harness workflow to inspect the current BTC/USDT simulation state. State whether the next action is trade, watch, note, or no action.
Analyze BTC/USDT using the 4H bias and 15-minute structure. Check for a liquidity sweep, change of character, and FVG or order block. Create a watch setup if confirmation is incomplete.
If all SMC confluences are present in the simulation, create a BTC/USDT trade setup. Include entry, stop, target, R:R, position size, validity window, and reasoning. Respect the 2% risk limit.
Review the active simulated BTC/USDT order against its original thesis. Check structure, liquidity, invalidation, and order limits. Recommend hold, cancel, watch, or note with concise reasoning.
Best Practices
- Use only closed candles available in the simulation when forming a market view.
- Record the HTF bias, liquidity event, entry trigger, stop, target, and R:R for every setup.
- Choose watch or no action when the required confluences or minimum 2:1 R:R are absent.
Avoid
- Do not place a simulated order before creating and documenting its setup.
- Do not trade against the 4H bias solely because of a short-term signal.
- Do not open another order while an active order already exists.
Frequently Asked Questions
Does this skill place live trades?
Which market does it cover?
Which timeframes does it use?
What confirms an entry?
What risk limit does it use?
Can it guarantee profitable results?
Developer Details
Author
AaronAbuUsamaLicense
MIT
Skillstore revision
r3
Version notice
The author did not declare a version.
Ref
26ee580b1dc4b5aed6b30c1dd62b327556bac8d8
Maintenance freshness
7/22/2026
Usage
14 downloads ยท 352 views
File structure