← 返回 Skills 市场
dromlakhani

market-structure

作者 Dr Om Lakhani · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
653
总下载
2
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install market-structure
功能描述
Read and analyze market structure for any trading instrument like a professional trader. Use when the user shares a chart, price data, or asks for a market s...
安全使用建议
This skill is instruction-only and internally consistent with its stated purpose. Before installing, consider: (1) it provides trading methodology, not guaranteed profitable signals — validate outputs with your own analysis and risk management; (2) the agent will need chart images or price data you supply to produce useful results — do not upload sensitive credentials or private account screenshots you don't want shared; (3) do not grant the agent trading-account API keys or automated execution permissions unless you explicitly trust and audit any automation; (4) because the skill encodes a specific methodology (SMC/ICT), check that you want that style of analysis and cross-check with other sources. Overall this appears coherent and low-risk from a security perspective.
功能分析
Type: OpenClaw Skill Name: market-structure Version: 1.0.0 The skill bundle contains standard metadata and a detailed `SKILL.md` file. The `SKILL.md` provides comprehensive instructions for an AI agent to perform market structure analysis, defining terms, frameworks, and output formats. There is no evidence of prompt injection attempts against the agent, data exfiltration, malicious execution, persistence mechanisms, or any other harmful behaviors. All content is aligned with the stated purpose of financial market analysis.
能力评估
Purpose & Capability
Name and description match the SKILL.md content: the skill is purely a trading market-structure analyst (SMC/ICT/classical TA). It requires no binaries, credentials, or config paths that would be unrelated to this purpose.
Instruction Scope
SKILL.md contains detailed, prescriptive analysis steps (trend, swings, BOS/CHoCH, order blocks, FVG, bias). It does not instruct the agent to read system files, environment variables, or send data to external endpoints. All instructions stay within the stated trading-analysis scope.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes footprint; nothing is downloaded or written to disk.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is no disproportionate access requested relative to its purpose.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or attempt to modify other skills or global agent settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install market-structure
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /market-structure 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of the Market Structure skill with a comprehensive professional framework: - Provides structured market structure analysis based on Smart Money Concepts (SMC), ICT, and classical technical analysis. - Guides users through a 5-layer analysis: Trend, Swing Points, BOS/CHoCH, Key Zones, and Trade Narrative. - Covers advanced concepts including order blocks, fair value gaps, liquidity zones, inducement, mitigation/Breaker blocks, and top-down analysis. - Enforces strict output formatting for clear, actionable trade narratives. - Designed for any trading instrument and all major timeframes.
元数据
Slug market-structure
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

market-structure 是什么?

Read and analyze market structure for any trading instrument like a professional trader. Use when the user shares a chart, price data, or asks for a market s... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 653 次。

如何安装 market-structure?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install market-structure」即可一键安装,无需额外配置。

market-structure 是免费的吗?

是的,market-structure 完全免费(开源免费),可自由下载、安装和使用。

market-structure 支持哪些平台?

market-structure 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 market-structure?

由 Dr Om Lakhani(@dromlakhani)开发并维护,当前版本 v1.0.0。

💬 留言讨论