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jhryo25

us

作者 jhryo25 · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
391
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install us
功能描述
Delivers structured US equity research including snapshots, earnings analysis, valuation scenarios, catalysts, risks, and actionable trade or monitoring plans.
安全使用建议
This skill appears coherent and low-risk: it only contains instructions for producing research and asks for no credentials or installs. Before installing, consider: 1) If you paste private filings/transcripts into prompts, those become input data—avoid sharing confidential information. 2) The skill can reference platform-provided data tools (get_price, get_fundamentals); check what data sources those tools use and whether they require credentials you manage. 3) Outputs are not guaranteed investment advice—validate models, assumptions, and sources before acting on trade plans. 4) If you need automated execution (linking to a broker), do not rely on this skill unless you explicitly verify safe, authorized integrations. Overall: safe to install from a permission perspective, but treat its research as one input among many and confirm data provenance.
功能分析
Type: OpenClaw Skill Name: us Version: 1.0.0 The OpenClaw AgentSkills skill bundle for 'US Stock Analyst' is benign. The `skill.md` file provides clear, well-structured instructions for the AI agent to perform financial analysis, including mandatory output formats and operating policies that emphasize data integrity and compliance. There are no indications of prompt injection attempts to subvert the agent, exfiltrate data, execute arbitrary commands, or perform any other malicious actions. The listed tools are appropriate for financial data retrieval and calculation.
能力评估
Purpose & Capability
The name/description (US equity research) matches the SKILL.md. Required inputs, deliverables, and data expectations align with producing research, valuation scenarios, catalysts, risks, and optional trade plans. There are no unrelated resource demands (no cloud creds, binaries, or config paths).
Instruction Scope
Runtime instructions are focused on research tasks: structured outputs, clarifying questions, use of market/data tool calls if available, and explicit rules to avoid fabricating data. The doc does not instruct the agent to read arbitrary files, environment variables, or send data to third-party endpoints. It explicitly states fallback behavior if tools are unavailable.
Install Mechanism
No install spec and no code files — instruction-only. That minimizes on-disk execution risk. There are no download URLs or package installs to review.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The tool-contract lists possible data functions (get_price, get_fundamentals, etc.); these are appropriate for the purpose and are optional depending on the OpenClaw environment.
Persistence & Privilege
Flags are defaults (always: false, agent-invokable, model invocation allowed). The skill does not request persistent/privileged system presence or modify other skills' configs.
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 us
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /us 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
12
元数据
Slug us
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

us 是什么?

Delivers structured US equity research including snapshots, earnings analysis, valuation scenarios, catalysts, risks, and actionable trade or monitoring plans. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 391 次。

如何安装 us?

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

us 是免费的吗?

是的,us 完全免费(开源免费),可自由下载、安装和使用。

us 支持哪些平台?

us 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 us?

由 jhryo25(@jhryo25)开发并维护,当前版本 v1.0.0。

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