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田伯光股票分析
by
dennisxiaoding
· GitHub ↗
· v1.2.0
· MIT-0
112
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1
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Install in OpenClaw
/install tbog-stock-analysis
Description
股票深度分析(18维度融合版):基本面估值+实战交易双重视角,支持A股/港股/美股,输出完整9部分飞书文档报告。
Usage Guidance
Key issues to resolve before installing: (1) Clarify Feishu integration: who provides the feishu_doc client and where do Feishu API tokens live? The skill's instructions call feishu_doc create/read/write but the manifest lists no required binaries or env vars — ask the author to declare required binaries and any Feishu_TOKEN / FEISHU_APP_ID credentials and to explain token scope and storage. (2) Confirm network/data access: the skill will fetch multiple public data sources (Eastmoney, cninfo, Yahoo Finance, HKEX); ensure you are comfortable granting outbound web access and check any scraping/terms-of-service issues. (3) Test in a sandbox: run the skill in a controlled environment to observe which endpoints it calls and to confirm it does not attempt to read unexpected local files or secrets. (4) Least privilege: if Feishu credentials are required, provide a dedicated, limited-scope bot/app credential, not broad personal credentials. (5) Ask for provenance: the skill has unknown source/homepage — request author identity, code, or an install spec so you can audit how feishu_doc is provided and how data is fetched. These inconsistencies are explainable (platform connectors could supply feishu integration), but until clarified you should treat the skill as suspicious.
Capability Analysis
Type: OpenClaw Skill
Name: tbog-stock-analysis
Version: 1.2.0
The skill bundle is a comprehensive stock analysis tool designed to generate detailed 18-dimensional financial reports. It follows a structured workflow for data acquisition from legitimate sources (e.g., Eastmoney, SEC EDGAR, HKEX) and includes a robust quality control process for generating Feishu (Lark) documents, ensuring reports are not empty before delivery. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; the instructions are strictly aligned with the stated purpose of financial analysis and reporting.
Capability Assessment
Purpose & Capability
The skill purpose (deep stock analysis + producing a Feishu document) is coherent with the instructions (fetch public market data, run an 18-dimension analysis, create a Feishu doc). However, the SKILL manifest declares no required binaries or environment variables while the runtime instructions explicitly call feishu_doc create/read/write and expect access to many public data sources — the manifest omits the Feishu integration and any credential needs, which is an incoherence.
Instruction Scope
SKILL.md instructs the agent to fetch seven categories of data (prices, financials, shareholder lists, announcements, news, technical signals) and to enforce strict validity rules (refuse if completeness <50%). It also mandates calling a Feishu CLI (feishu_doc create/read/write) and performing content verification (block_count, revision_id, content length) and auto-repair. These runtime steps are explicit and scoped to the stated purpose, but they assume network access and a Feishu client/API token — neither is declared. There is no instruction to read local secrets or unrelated files, which is good.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. That minimizes on-disk footprint and supply-chain risk. The only risk is the implicit runtime dependency on a Feishu client or connector (feishu_doc) and network access to the listed data sources; those are not installed by the skill itself.
Credentials
The runtime requires Feishu document creation, which normally needs API credentials or an authenticated client, but the skill declares no required environment variables / primary credential. This omission is disproportionate: Feishu tokens (or platform-provided connector permissions) should be declared and scoped. The skill also requires access to many public web data sources (Eastmoney, cninfo, Yahoo Finance, HKEX, etc.) — those are appropriate for the stated purpose but imply outbound network access and possible scraping; the manifest should document any credentials or rate-limit considerations.
Persistence & Privilege
The skill does not request always:true and does not require system persistence or modify other skills/config. It only describes creating Feishu documents (user-visible artifacts). Autonomous invocation is allowed by platform default but is not combined here with other high-risk indicators.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tbog-stock-analysis - After installation, invoke the skill by name or use
/tbog-stock-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
初始版本:18维度融合版分析框架
Metadata
Frequently Asked Questions
What is 田伯光股票分析?
股票深度分析(18维度融合版):基本面估值+实战交易双重视角,支持A股/港股/美股,输出完整9部分飞书文档报告。 It is an AI Agent Skill for Claude Code / OpenClaw, with 112 downloads so far.
How do I install 田伯光股票分析?
Run "/install tbog-stock-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 田伯光股票分析 free?
Yes, 田伯光股票分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 田伯光股票分析 support?
田伯光股票分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 田伯光股票分析?
It is built and maintained by dennisxiaoding (@dennisxiaoding); the current version is v1.2.0.
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