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ksky521

虾皮市场风格轮动分析

by 三水清 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install xiapi-style-rotation
Description
分析A股大小盘风格轮动,通过中证2000与沪深300的相对强弱差值判断风格偏向与切换信号。触发词:大小盘风格、风格轮动、大盘股小盘股、风格切换、沪深300、中证2000、微盘股投资策略。适用场景:判断市场风格偏向、识别风格切换信号、大盘小盘配置决策。不适用场景:个股分析、行业板块分析、债券分析。
Usage Guidance
Before installing, verify these items: 1) The skill's metadata should declare that it needs an API token and a local npm runtime (npx). Ask the author to add required env vars (e.g., DAXIAPI_TOKEN) and required binaries (node/npm). 2) Understand that runtime uses 'npx ...@latest' — npx will download and execute remote npm code each time; prefer a pinned version (not @latest) or a vetted binary. 3) Confirm you trust the daxiapi service and the npm package owner (check homepage, source repo, and package contents). 4) Be cautious storing tokens in persistent config files (~/.daxiapirc); use temporary environment variables where possible and do not check tokens into repos. 5) If you need stronger guarantees, request the author provide a static manifest (exact npm package version or a bundled, audited implementation) and explicit declaration of all required env vars and config paths. 6) If you will allow autonomous invocation, be aware the agent could run npx and access the token — only enable that if you trust the skill and its source. If any of the above cannot be confirmed, treat the skill as higher risk and avoid installing or run it in a restricted/test environment first.
Capability Analysis
Type: OpenClaw Skill Name: xiapi-style-rotation Version: 1.0.1 The skill facilitates financial market analysis by interfacing with an external service via the 'daxiapi-cli' tool. It is classified as suspicious because it directs the AI agent to execute shell commands using 'npx daxiapi-cli@latest', which introduces supply chain risks by fetching unpinned remote code. Additionally, the instructions for configuring API tokens (SKILL.md and references/token-setup.md) involve passing user-provided strings directly into shell commands, creating a potential surface for shell injection attacks if the agent does not properly sanitize inputs.
Capability Assessment
Purpose & Capability
The skill's stated purpose (analyzing A-share large/small-cap style rotation via a 'daxiapi' service) is plausible, but the metadata declares no required environment variables or binaries while the runtime instructions explicitly require a token and use 'npx daxiapi-cli@latest'. Legitimately, the skill needs an API token and an npm runtime (npx) — these are missing from the declared requirements.
Instruction Scope
SKILL.md instructs the agent to run shell commands (npx daxiapi-cli@latest market style) that will make network calls to an external service (daxiapi.com) and to read/write token configuration (~/.daxiapirc) and/or environment variables (DAXIAPI_TOKEN). This scope is consistent with the stated purpose, but the instructions give the agent the ability to execute remote code (via npx) and to access local credential storage which were not declared in metadata.
Install Mechanism
There is no install spec (instruction-only), but runtime uses 'npx ...@latest', which downloads and executes a package from the npm registry at invocation time. That is higher risk than a pure instruction-only skill because npx will fetch remote code (transient execution) and using '@latest' lacks a pinned version. No permanent files are declared, but running npx implies a dependency on Node/npm being available (not declared).
Credentials
The references and SKILL.md clearly require an API token (DAXIAPI_TOKEN or CLI-stored token) and mention the config file location (~/.daxiapirc). Requesting a token is proportionate to calling a third-party API, but the skill metadata did not list any required env vars or config paths. The absence of declared credentials and the CLIs' ability to persist a token to disk are discrepancies that affect risk evaluation.
Persistence & Privilege
The skill does not request 'always: true' and does not claim elevated platform privileges. It can be invoked autonomously (platform default), which is normal; this autonomy combined with the token/remote-execution concerns increases blast radius but is not by itself a metadata misconfiguration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install xiapi-style-rotation
  3. After installation, invoke the skill by name or use /xiapi-style-rotation
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
**xiapi-style-rotation v1.0.1 Changelog** - 分析逻辑大幅升级:采用中证2000与沪深300相对强弱差值,动态计算历史百分位,提升风格判断准确性。 - 增加极端区间均值回归概率,并特别强调大盘极端强与小盘极端强的历史非对称性。 - 报告结构更加精练,结论先行,流程聚焦风格定位、趋势分析和极端状态评估。 - 明确禁止在正常区间内滥用"均值回归"表述,强化风险提示。 - 补充质量检查与常见陷阱说明,完善用户安全指引与出错排查说明。
v1.0.0
xiapi-style-rotation 1.0.0 - 首次发布,提供A股大小盘风格轮动分析能力。 - 支持通过大虾皮API,用中证2000与沪深300波动差值数据判断市场风格偏向及切换信号。 - 明确应用场景及不适用场景,避免误用在个股、行业板块及非风格类资产分析上。 - 提供详细分析流程、结构化报告模板及质量检查与常见错误处理方法。 - 强调趋势结合及中性表述,并要求报告中引用具体数据及包含免责声明。
Metadata
Slug xiapi-style-rotation
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is 虾皮市场风格轮动分析?

分析A股大小盘风格轮动,通过中证2000与沪深300的相对强弱差值判断风格偏向与切换信号。触发词:大小盘风格、风格轮动、大盘股小盘股、风格切换、沪深300、中证2000、微盘股投资策略。适用场景:判断市场风格偏向、识别风格切换信号、大盘小盘配置决策。不适用场景:个股分析、行业板块分析、债券分析。 It is an AI Agent Skill for Claude Code / OpenClaw, with 109 downloads so far.

How do I install 虾皮市场风格轮动分析?

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

Is 虾皮市场风格轮动分析 free?

Yes, 虾皮市场风格轮动分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 虾皮市场风格轮动分析 support?

虾皮市场风格轮动分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 虾皮市场风格轮动分析?

It is built and maintained by 三水清 (@ksky521); the current version is v1.0.1.

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