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虾皮市场风格轮动分析

作者 三水清 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
109
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install xiapi-style-rotation
功能描述
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。
安全使用建议
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.
功能分析
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.
能力评估
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.
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 xiapi-style-rotation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xiapi-style-rotation 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
v1.0.1
**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。
元数据
Slug xiapi-style-rotation
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

虾皮市场风格轮动分析 是什么?

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。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 109 次。

如何安装 虾皮市场风格轮动分析?

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

虾皮市场风格轮动分析 是免费的吗?

是的,虾皮市场风格轮动分析 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

虾皮市场风格轮动分析 支持哪些平台?

虾皮市场风格轮动分析 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 虾皮市场风格轮动分析?

由 三水清(@ksky521)开发并维护,当前版本 v1.0.1。

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