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ksky521

虾皮个股舆情/公告/研报催化分析

by 三水清 · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install xiapi-news-catalyst-analysis
Description
个股舆情/公告/研报催化分析:基于 news 命令做信息收集、噪音过滤、信源分级与影响评分。触发词:个股舆情、公告解读、研报解读、消息面分析、新闻催化、利好利空。适用场景:用户希望评估某只A股近期新闻事件对股价和预期的影响。不适用场景:纯技术指标教学、无标的代码、非A股市场。
Usage Guidance
This skill appears to do what it says (scrape sentiment/announcements/reports via the daxiapi-cli and produce a scored report), but it omits important operational details. Before installing or running it: 1) confirm the origin and trustworthiness of 'daxiapi-cli' (is it an official vendor package?) — npx will fetch and execute its code; 2) understand where the token is stored (the SKILL.md uses 'npx daxiapi-cli config set token' which writes to the CLI config) and avoid pasting high‑privilege secrets unless you trust the package; 3) request the publisher to explicitly declare required binaries (node, npx), the credential type (DAXIAPI token) and any config paths; 4) optionally run the npx commands manually in a sandbox or inspect the daxiapi-cli npm package source before granting a token; and 5) if you cannot verify the daxiapi-cli package or the token provider, do not provide sensitive credentials and prefer running the data-collection steps yourself and feeding sanitized results to the skill.
Capability Analysis
Type: OpenClaw Skill Name: xiapi-news-catalyst-analysis Version: 1.0.3 The skill is a financial analysis tool designed to process A-share stock news, announcements, and research reports using the `daxiapi-cli`. It implements a structured workflow for noise filtering, importance classification based on specific API fields (like 'columns' for announcements), and a quantitative scoring model for news catalysts. The instructions in SKILL.md and the report template in assets/report-template.md are strictly aligned with the stated purpose of generating stock market reports and do not contain any evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
The skill's described purpose (collect sentiment/notice/report via a news API and produce a scored report) matches the runtime instructions that call daxiapi-cli's news commands. However, the package metadata declares no required binaries or credentials while the SKILL.md explicitly instructs the agent/user to run 'npx daxiapi-cli@latest' and to set/get a token. That token (and a runnable npx/npm environment) are operationally required — their omission from declared requirements is an incoherence.
Instruction Scope
Runtime instructions explicitly instruct running npx daxiapi-cli commands (network fetch + execution of remote npm package) and to configure a token via 'npx daxiapi-cli config set token'. The instructions do not ask for unrelated files or secrets, but they do direct the agent/user to access and mutate local CLI config/state via the external tool. The skill gives broad discretion to fetch 'latest' CLI code via npx, which will execute remote code on the host — expected for this task but not declared.
Install Mechanism
There is no formal install spec in the registry (instruction-only). However, the SKILL.md relies on npx to download and run daxiapi-cli@latest from the npm registry at runtime. Fetching/executing code via npx/npm is a moderate risk (remote code executed locally) and should be considered part of the install/runtime footprint even though no install block is declared.
Credentials
The skill requires a DAXIAPI token (the SKILL.md shows commands to get/set 'token'), but the registry metadata lists no required environment variables, primary credential, or config paths. Requiring a secret token for the external API is reasonable for this functionality, but failing to declare that credential and how/where it's stored is a proportionality and transparency problem. Additionally, the skill implies using npx/npm and the user's CLI config directory to persist the token.
Persistence & Privilege
The skill is not marked 'always:true' and contains no code that modifies other skills or global agent settings. It instructs the user/agent to configure a token in the daxiapi-cli config, which is local to that CLI, but the skill itself does not request persistent elevated privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install xiapi-news-catalyst-analysis
  3. After installation, invoke the skill by name or use /xiapi-news-catalyst-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
No functional changes; documentation updated for clarity. - 修正了研报命令参数说明,将 Step 1 中 `-e <最近交易日日期>` 改为 `-e <今日日期>`,与实际用法一致。 - 其他内容(流程、逻辑、重要原则等)保持不变,仅优化表述。
v1.0.2
- 修正文档中研报数据获取命令的说明,明确 -e 参数应填写最近实际交易日日期,不得用系统当前日期。 - 强调需从已获取数据的最新日期字段读取最近交易日,避免未来日误用。 - 其余功能、流程、评分体系等无实质变化,仅文字细化和标准化。
v1.0.1
**Changelog for xiapi-news-catalyst-analysis 1.0.1** - Added a dedicated report template file at assets/report-template.md. - Improved data process: now filters noise (e.g., automated trading summaries, financing news) from sentiment data before analysis. - Uses notice.columns for key event classification, improving accuracy in determining announcement importance. - Adds in-depth handling of report.rating and EPS fields from research reports for stronger institutional signal detection. - Updates all examples, scoring, and requirements to enforce noise filtering and proper data field usage. - Expands and refines quality checks, pitfalls, and error handling sections.
v1.0.0
- Initial release of xiapi-news-catalyst-analysis. - Provides structured analysis of A-share stock news, announcements, and research reports. - Performs cross-verification of information sources, direction sentiment tagging, recency analysis, and impact scoring. - Outputs a comprehensive, traceable event report with prioritization and risk warnings. - Clearly defines supported and non-supported scenarios and includes detailed quality checks.
Metadata
Slug xiapi-news-catalyst-analysis
Version 1.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is 虾皮个股舆情/公告/研报催化分析?

个股舆情/公告/研报催化分析:基于 news 命令做信息收集、噪音过滤、信源分级与影响评分。触发词:个股舆情、公告解读、研报解读、消息面分析、新闻催化、利好利空。适用场景:用户希望评估某只A股近期新闻事件对股价和预期的影响。不适用场景:纯技术指标教学、无标的代码、非A股市场。 It is an AI Agent Skill for Claude Code / OpenClaw, with 154 downloads so far.

How do I install 虾皮个股舆情/公告/研报催化分析?

Run "/install xiapi-news-catalyst-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 虾皮个股舆情/公告/研报催化分析 free?

Yes, 虾皮个股舆情/公告/研报催化分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 虾皮个股舆情/公告/研报催化分析 support?

虾皮个股舆情/公告/研报催化分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 虾皮个股舆情/公告/研报催化分析?

It is built and maintained by 三水清 (@ksky521); the current version is v1.0.3.

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