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Stockselectionmodel.Bak

作者 xujianbo0426 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
73
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install stockselectionmodel-bak
功能描述
A股板块实时研报。全球新闻→A股映射、板块趋势研判、美股关联、利好利空、大事件提醒。零配置可用,输出兼容飞书/扣子/Markdown平台。
安全使用建议
What to check before installing: - Runtime: The scripts are Node.js scripts and SKILL.md runs them with `node ...`. The skill metadata did not declare 'node' as a required binary — ensure your agent environment provides a compatible Node runtime (Node 18+ recommended for built-in fetch/AbortSignal). If your environment lacks Node, the skill's instructions will fail. - Network access: The skill fetches data from public endpoints (EastMoney push APIs, news websites, and optionally Tavily). If you run this in a restricted/sandboxed environment, verify outbound HTTP(S) is allowed and acceptable. - Optional key: Tavily is optional; only provide TAVILY_API_KEY if you trust that service and want enhanced search results. - Local writes: The skill writes JSON files into a .local directory inside its repository — if you have concerns about disk storage or logs, review these files or run the skill in an isolated workspace. - Review code if unsure: The JS files are readable and use public APIs; no obfuscated or clearly malicious behavior was found, but if you plan to use the skill in production or with sensitive contexts, consider auditing the scripts (especially network endpoints and any future modifications). Overall: functionality is coherent with its description, but the missing declaration of the required runtime (node) and the local file writes are small but important operational/integration inconsistencies to verify before enabling the skill.
功能分析
Type: OpenClaw Skill Name: stockselectionmodel-bak Version: 1.0.0 The skill bundle is a functional financial analysis tool designed to generate stock market reports for the A-share and US markets. It utilizes legitimate public APIs from EastMoney and the Tavily search engine to aggregate news, sector trends, and real-time quotes. The code logic in scripts like `generate_brief.js` and `fetch_news.js` is transparent, lacks obfuscation, and aligns strictly with the stated purpose of providing investment insights without any evidence of data exfiltration, unauthorized command execution, or malicious prompt injection.
能力评估
Purpose & Capability
The name/description (A股板块实时研报) aligns with the included scripts: fetching news, mapping global news to A‑share candidates, sector analysis, market monitoring, and generating markdown reports. Data sources used (EastMoney, public news sites, optional Tavily) are consistent with the stated functionality. One mismatch: the skill runtime instructions and scripts assume executing 'node' commands, but the registry metadata does not declare 'node' or any required binary — this is an omission/incoherence to surface to the user.
Instruction Scope
SKILL.md instructs the agent to run local Node scripts that fetch public news and market data, synthesize summaries, and produce markdown. The instructions do not direct the agent to read unrelated system files or to exfiltrate secrets beyond the optional Tavily API key. The required output layout and message-splitting behaviour are explicit and bounded.
Install Mechanism
There is no install spec (instruction-only), and all code is present in the skill bundle. No remote downloads or install steps are performed by the skill itself, which reduces supply-chain risk. The scripts are plain JS (no obfuscated payloads or external shell downloads).
Credentials
The only declared environment variable is an optional TAVILY_API_KEY for an enhanced news source; that is proportionate to the feature. The code does not request other credentials. Scripts forward process.env to child processes but do not explicitly read or transmit other environment secrets.
Persistence & Privilege
The orchestrator script creates a .local directory inside the skill folder and writes JSON reports there (local persistence). The skill does not request elevated privileges, is not 'always:true', and does not modify other skills or system-wide agent config. If you care about disk writes, be aware the skill will store files under its .local directory.
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 stockselectionmodel-bak
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /stockselectionmodel-bak 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
**Major update: Complete redesign and rebranding of the skill, now focused on real-time sector research for China A-shares with global news integration.** - Skill renamed to "ai-stock-insider" and upgraded to version 3.0.0. - Now delivers professional real-time sector reports: live market data, news, US stock linkage, and major events. - Added fixed, comprehensive markdown report layout for all outputs to ensure consistency and completeness. - Zero-setup, out-of-the-box compatibility with Feishu, Coze, and other Markdown platforms. - Optional integration with Tavily API for enhanced news coverage. - Workflow optimized to minimize LLM API usage, focusing LLM only on in-depth user-requested analysis. - Expanded and clarified documentation for supported sectors, usage methods, and working process.
元数据
Slug stockselectionmodel-bak
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

Stockselectionmodel.Bak 是什么?

A股板块实时研报。全球新闻→A股映射、板块趋势研判、美股关联、利好利空、大事件提醒。零配置可用,输出兼容飞书/扣子/Markdown平台。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 73 次。

如何安装 Stockselectionmodel.Bak?

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

Stockselectionmodel.Bak 是免费的吗?

是的,Stockselectionmodel.Bak 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Stockselectionmodel.Bak 支持哪些平台?

Stockselectionmodel.Bak 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 Stockselectionmodel.Bak?

由 xujianbo0426(@xujianbo0426)开发并维护,当前版本 v1.0.0。

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