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Successful Trader

作者 Mofesto · GitHub ↗ · v0.1.0
cross-platform ✓ 安全检测通过
324
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0
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install successful-trader
功能描述
Comprehensive guidance and methodologies for becoming a successful trader, covering strategy development, risk management, technical analysis, and trading ps...
安全使用建议
This skill is a collection of trading best practices and is internally consistent, but remember: (1) it is advisory only—not a substitute for licensed financial advice; (2) it does not perform trades and does not request API keys, so if you plan to tie an agent to brokerage APIs, require explicit consent and review those integrations carefully; (3) watch for model hallucinations when the agent gives specific price forecasts or historically precise statements; and (4) verify the author/source and consider regulatory implications in your jurisdiction before acting on advice.
功能分析
Type: OpenClaw Skill Name: successful-trader Version: 0.1.0 The skill bundle 'successful-trader' is benign. The `_meta.json` contains standard metadata. The `SKILL.md` provides extensive educational content and guidance on trading strategies, risk management, and psychology. All instructions within `SKILL.md` are aimed at guiding the AI agent to act as a responsible and informative trading advisor, including emphasizing risk management and disclaimers. There is no evidence of malicious intent, data exfiltration, unauthorized command execution, persistence mechanisms, or deceptive prompt injection attempts against the agent or user.
能力评估
Purpose & Capability
The name and description claim trading guidance and the sole artifact (SKILL.md) contains only trading methodologies, plans, and checklists. There are no unrelated environment variables, binaries, or config paths requested that would be out of scope for a trading-advice skill.
Instruction Scope
SKILL.md is self-contained, high-level, and stays within the domain of strategy, risk management, technical/fundamental analysis, and journaling. It does not instruct the agent to read files, call external APIs, execute shell commands, or exfiltrate data. Note: the guidance could be used by an agent to produce actionable trade recommendations; users should be aware this is advisory content, not execution-safe code.
Install Mechanism
There is no install spec and no code files. Because this is instruction-only, nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. Requested access is proportionate (none) to the stated purpose.
Persistence & Privilege
always is false and model invocation is not disabled (normal defaults). The skill does not request permanent presence or special privileges and does not modify other skills or system-wide 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 successful-trader
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /successful-trader 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
v0.1.0
Initial release introducing a comprehensive framework for trading success. - Covers core areas: trading strategies, risk management, technical and fundamental analysis, and trading psychology. - Provides detailed templates for developing trading plans, journaling trades, and reviewing performance metrics. - Outlines best practices for risk control, mindset, and continuous improvement. - Offers actionable checklists and methodology for both new and experienced traders.
元数据
Slug successful-trader
版本 0.1.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Successful Trader 是什么?

Comprehensive guidance and methodologies for becoming a successful trader, covering strategy development, risk management, technical analysis, and trading ps... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 324 次。

如何安装 Successful Trader?

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

Successful Trader 是免费的吗?

是的,Successful Trader 完全免费(开源免费),可自由下载、安装和使用。

Successful Trader 支持哪些平台?

Successful Trader 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 Successful Trader?

由 Mofesto(@mofesto)开发并维护,当前版本 v0.1.0。

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