pre-trade-discipline-gate
Check Manual Trades Before Order Entry
Manual trade decisions can bypass plans and risk controls. This skill checks local inputs and records a clear decision before broker entry.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "pre-trade-discipline-gate" from https://skillstore.io/skills/tradermonty-pre-trade-discipline-gate.md and its manifest at https://skillstore.io/api/skills/tradermonty-pre-trade-discipline-gate/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 "pre-trade-discipline-gate". A planned entry has a written plan, predefined stop, approved size, and actual risk equal to planned risk.
Expected outcome:
GO: The actionable candidate passed the checklist and all supplied upstream gates.
Using "pre-trade-discipline-gate". An actionable entry risks 750 dollars against a 500 dollar plan.
Expected outcome:
NO_GO: Actual risk exceeds planned risk. Do not place the manual order.
Using "pre-trade-discipline-gate". A watchlist candidate has no manual order intent.
Expected outcome:
NO_ACTIONABLE_ORDERS: The candidate is recorded, but no broker action is authorized.
Security Audit
Medium RiskAll 44 static findings are false positives caused by ordinary Python imports, identifiers, Markdown code fences, and inline code formatting. The runtime does execute a fixed-path module from the sibling trader-memory-core skill, creating a medium trust-boundary risk if that local module is modified.
Confirmed security concerns (1)
Risk Factors
โก Contains scripts (1)
โ๏ธ External commands (32)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/tradermonty-pre-trade-discipline-gate/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/tradermonty-pre-trade-discipline-gate?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/tradermonty-pre-trade-discipline-gate?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/tradermonty-pre-trade-discipline-gate/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/tradermonty-pre-trade-discipline-gate.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA ยท BibTeX ยท CFF)
APA citation
tradermonty. (2026). pre-trade-discipline-gate security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tradermonty-pre-trade-discipline-gate/audits/1BibTeX citation
@techreport{tradermonty-tradermonty-pre-trade-discipline-gate-2026,
author = {tradermonty},
title = {pre-trade-discipline-gate security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/tradermonty-pre-trade-discipline-gate/audits/1},
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: "pre-trade-discipline-gate security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "tradermonty"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/tradermonty-pre-trade-discipline-gate/audits/1"
identifiers:
- type: other
value: "skillstore:tradermonty-pre-trade-discipline-gate:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Review a Manual Entry
Check one planned entry against its written plan, stop, size, and risk amount before broker submission.
Enforce Team Risk Controls
Combine candidate checklists with local exposure and circuit-breaker decisions for a consistent pre-trade review.
Audit Trading Discipline
Retain decision records and checklist answers for later process reviews and strategy research.
Try These Prompts
Review my local pre-trade checklist file. Explain the decision and list every failed or missing requirement.
Evaluate all candidates in my checklist. Separate actionable entries from watchlist items and summarize each decision.
Evaluate my checklist with the local market-regime and circuit-breaker decision files. Highlight any upstream block or unknown value.
Run the discipline gate with thesis state, deterministic as-of time, report output, and journaling. Summarize decision causes and linking failures.
Best Practices
- Provide both planned and actual risk amounts for every actionable candidate.
- Use current, trusted market-regime and circuit-breaker artifacts.
- Review every non-GO reason before entering an order manually.
Avoid
- Do not treat a missing upstream artifact as permission to trade.
- Do not use watchlist decisions as order authorization.
- Do not bypass a NO_GO result by changing checklist answers after the fact.
Frequently Asked Questions
Does this skill place trades?
Which candidate intents are actionable?
What happens when required data is missing?
Can it detect revenge-trading risk?
What files does it create?
Does it need network access?
Developer Details
Author
tradermontyLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
8b5ad1599e7c55e9b6c627bca3f556f6e9061cb1
Maintenance freshness
9/30/2026
Usage
0 downloads ยท 0 views
File structure
๐ references/
๐ discipline_gate_framework.md
๐ requirements.txt
๐ scripts/
๐ check_pre_trade_discipline.py
๐ tests/
๐ conftest.py
๐ test_check_pre_trade_discipline.py
๐ SKILL.md