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xujianbo0426

Stockselectionmodel.Bak

by xujianbo0426 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
73
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0
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0
Active Installs
1
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Install in OpenClaw
/install stockselectionmodel-bak
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install stockselectionmodel-bak
  3. After installation, invoke the skill by name or use /stockselectionmodel-bak
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug stockselectionmodel-bak
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Stockselectionmodel.Bak?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.

How do I install Stockselectionmodel.Bak?

Run "/install stockselectionmodel-bak" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Stockselectionmodel.Bak free?

Yes, Stockselectionmodel.Bak is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Stockselectionmodel.Bak support?

Stockselectionmodel.Bak is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Stockselectionmodel.Bak?

It is built and maintained by xujianbo0426 (@xujianbo0426); the current version is v1.0.0.

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