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Trump-invest懂王画k线

作者 AliceLIKER · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
119
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trump-invest
功能描述
基于 trumpstruth.org/feed 汇总特朗普相关公开推文(RSS),按“Evidence 模式/Latest 模式/Time 模式”输出证据与金融教育分析,并以特朗普口吻进行对话。
安全使用建议
This skill is internally consistent: it only fetches and parses the specified RSS feed and formats education-style analyses, and it requests no credentials or installs. Before installing, confirm you trust the feed source (https://www.trumpstruth.org) because the model will fetch and summarize whatever that site publishes; the skill's guidance tries to avoid fabricating original tweets but cannot validate source authenticity. If you plan to use Watch mode, understand it requires an external scheduler and that the skill will track a lastSeenId in the conversation state. Do not rely on outputs for trading decisions—the skill includes explicit non-investment-advice rules but its analyses are educational only. If you need stricter safety, ask the developer for an allowlist of domains or for the feed content to be vetted prior to use.
功能分析
Type: OpenClaw Skill Name: trump-invest Version: 1.0.0 The skill 'trump-invest' is designed to fetch and analyze RSS feeds from trumpstruth.org to provide financial educational content in a specific persona. It includes explicit safety constraints against providing financial advice and shows no signs of data exfiltration, malicious execution, or unauthorized access.
能力评估
Purpose & Capability
The name/description claim to aggregate trumpstruth.org/feed and produce evidence/analysis in several modes; the SKILL.md only asks the model to fetch and parse that RSS feed and format outputs. No unrelated binaries, env vars, or platform access are requested—requirements match purpose.
Instruction Scope
Runtime instructions are narrowly focused: use web_fetch on https://www.trumpstruth.org/feed, parse <item> entries, select 2–5 items and produce an evidence-backed financial-education analysis and canned output templates. The skill does not instruct reading local files, environment variables, or unrelated system state. It does require maintaining a conversation-scoped lastSeenId for Watch mode and warns that periodic triggers need external scheduling.
Install Mechanism
Instruction-only skill with no install spec and no code files. No downloads or package installs are requested, which is low risk and proportional to its function.
Credentials
No environment variables, credentials, or config paths are required. The requested external network access is proportional (single RSS feed URL) and justified by the stated purpose.
Persistence & Privilege
always:false and no system-level persistence are set. The only persistence implied is conversation-scoped state (lastSeenId) to track seen items for Watch mode; the skill explicitly notes external scheduling is required for periodic checks. Autonomous invocation is allowed by platform default but is not combined with elevated privileges.
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 trump-invest
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /trump-invest 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
trump-invest v1.0.0 - Initial release with educational/analytical coverage of Trump RSS feed from trumpstruth.org. - Supports multiple output modes: Evidence(带推文证据), Latest, Time, Trump对话, K线艺术家辅助、Watch增量监控。 - 严格区分推文证据输出(Evidence模式)与教育性情景推演(非Evidence模式)。 - 输出全部合规,明示风险,不提供个性化买卖建议,用户提问如需买卖,自动引导至“观察/风险/情景推演”。 - 资产关键词与金融分析方向自动映射,蒸馏要点与观察清单支持持续优化。
元数据
Slug trump-invest
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Trump-invest懂王画k线 是什么?

基于 trumpstruth.org/feed 汇总特朗普相关公开推文(RSS),按“Evidence 模式/Latest 模式/Time 模式”输出证据与金融教育分析,并以特朗普口吻进行对话。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 119 次。

如何安装 Trump-invest懂王画k线?

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

Trump-invest懂王画k线 是免费的吗?

是的,Trump-invest懂王画k线 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Trump-invest懂王画k线 支持哪些平台?

Trump-invest懂王画k线 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 Trump-invest懂王画k线?

由 AliceLIKER(@vialiceq)开发并维护,当前版本 v1.0.0。

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