Description

根据输入的链接、文件、文本或关键词分析利好行业/概念/题材/产业链，聚焦核心受益方向，在i问财网站进行选股查询，返回每项前5个结果并生成Excel文件。当用户要求分析利好行业、概念选股、行业选股、选股、利好哪些股票等意图时使用此技能。

README (SKILL.md)

i问财选股技能 (iwencai-screener)

Name: "i问财选股技能"
Author: caobingxi

触发条件

当用户具有以下意图时激活：

"XX选股" - 如"新能源选股"、"AI选股"
"XX利好哪些股票" - 如"芯片利好哪些股票"
"分析利好哪些行业"
"概念选股"、"行业选股"
"根据XX选股"
输入链接/文本后要求分析并选股
模型自行根据语义判断需要选股的场景

核心原则

聚焦原则：识别3-5个最核心的利好方向，避免泛泛而谈

优先选择与内容最直接相关的行业/概念
产业链分析聚焦核心环节，不做全产业链罗列
每个方向都要有明确的利好逻辑

操作流程

第一步：分析内容识别核心利好方向

分析输入内容：
- 链接：使用web_fetch获取内容并分析
- 文件：读取文件内容并分析
- 文本/关键词：直接分析
- 语义判断：根据用户输入自行推断选股意图

聚焦识别（只选最核心的3-5个方向）：

选择标准：

与内容直接相关（不是间接关联）
有明确的产业链传导逻辑
有实际的产品/业务支撑

聚焦格式：

【核心利好方向】（限定3-5个）

1. XX行业/概念
   - 利好逻辑：为什么利好（具体原因）
   - 产业链位置：上游/中游/下游
   - 代表标的：YYY、ZZZ

2. XX行业/概念
   - 利好逻辑：为什么利好
   - ...

输出示例：

【核心利好方向】

1. 脑机接口（核心直接利好）
   - 利好逻辑：新闻提到脑机接口技术突破直接带动康复医疗器械需求
   - 产业链位置：下游应用端（康复设备）+ 中游制造
   - 代表标的：翔宇医疗、麦澜德

2. 芯片半导体（上游支撑）
   - 利好逻辑：脑机接口需要专用芯片，刺激芯片需求
   - 产业链位置：上游核心零部件
   - 代表标的：国科微、紫光国微

第二步：i问财选股查询

聚焦查询（只查核心方向）：
- 访问：https://www.iwencai.com
- 针对每个核心识别出的行业/概念进行搜索
- 搜索示例：
  - "XX行业股票" 或 "XX概念股票"
  - "XX龙头股"
获取查询结果：
- 每条查询取前5个结果
- 重要：获取所有返回字段，完整保留数据

第三步：汇总结果

整合数据：
- 按核心方向分类展示
- 每个方向显示前5只股票
生成Excel文件：
- 使用generate_stock_excel.py生成
- 每个核心方向一个Sheet
- 保存路径：/Users/tututu/.openclaw/workspace/选股结果_YYYYMMDD_HHMMSS.xlsx

输出格式

文本回复

【核心利好方向分析】

根据对内容的分析，**聚焦**以下核心利好方向：

## 一、XX行业/概念（最核心）
- **利好逻辑**：具体说明为什么利好（原因+传导路径）
- **产业链位置**：上游/中游/下游
- **核心标的**：YYY、ZZZ

## 二、XX行业/概念（次核心）
- **利好逻辑**：...
- ...

---

### 选股结果

## 一、XX概念相关股票
| 序号 | 代码 | 名称 | 现价 | 涨跌幅 | 核心逻辑 |
|------|------|------|------|--------|----------|
| 1 | XXXXXX | XXXX | XX.XX | X.XX% | ... |
| 2 | XXXXXX | XXXX | XX.XX | X.XX% | ... |
| ... | ... | ... | ... | ... | ... |

## 二、YY概念相关股票
...（同上）

---
📊 Excel文件已生成: 选股结果_20260312_163000.xlsx

Excel文件结构

文件名: 选股结果_YYYYMMDD_HHMMSS.xlsx
Sheet: 按核心方向名称命名（最多5个Sheet）
列: i问财返回的原始字段名
行: 每个方向最多5只股票

注意事项

聚焦优先：只识别最核心的3-5个方向，不要列出10+个方向
必须有逻辑：每个方向都要说明"利好逻辑"，不能只给结论
产业链位置：标注清楚在产业链的哪个环节
字段完整性：获取并显示所有返回字段
异常处理：某查询失败时记录错误，继续其他查询

Usage Guidance

This skill appears to do what it claims (scrape/query i问财 and export top-5 results to Excel) but has implementation mismatches you should resolve before use: - Dependencies: README & script require Python, pandas, and openpyxl (and mention a browser) but the skill metadata declares no installs — confirm the runtime will provide these, or update the skill to declare/install them. - Bug: the script's ImportError fallback is broken (it prints a fallback message but then still references pandas, which will crash if pandas is absent). Ask the author to fix the fallback or ensure pandas is available. - Hard-coded path: it writes to /Users/tututu/.openclaw/workspace/... — verify this is acceptable for your environment or request a configurable output path. - Web access: the skill relies on web_fetch to contact iwencai.com; check whether iwencai requires special authentication, rate limits, or anti-scraping measures (the README's browser note hints at possible scraping complexity). - Autonomy: the skill can be invoked by the model when it infers a matching user intent — if you want stricter control, only enable it for explicit user requests. Recommend testing in a safe environment, requesting the developer to fix the script bug and to declare/install dependencies, and confirming the expected workspace path and network access before enabling for general use.

Capability Analysis

Type: OpenClaw Skill Name: iwencai-screener Version: 1.0.0 The skill bundle is a stock screening tool designed to analyze financial data and query the i问财 (iwencai.com) website. It includes a Python script (generate_stock_excel.py) to format results into Excel files and clear instructions in SKILL.md for the agent to follow. Although the script contains a hardcoded local path (/Users/tututu/) and a logic bug in its pandas error handling, these are indicative of poor development practices rather than malicious intent or high-risk vulnerabilities.

Capability Assessment

ℹ Purpose & Capability

The skill's name/description match the behavior: analyze input (link/file/text/keywords), query iwencai.com, capture top-5 results, and produce an Excel. However the README and script reference runtime dependencies (Python, pandas, openpyxl, and a web browser) that are not declared in the skill metadata or install spec — this is an implementation mismatch that should be justified.

ℹ Instruction Scope

SKILL.md stays within the stated scope (use web_fetch for links, read user-provided files, run searches on iwencai, aggregate results, generate Excel). Two concerns: (1) the SKILL.md directs saving files to a hard-coded path (/Users/tututu/.openclaw/workspace/...), which may be inappropriate or non-existent on other hosts and leaks an author-specific path; (2) the activation rule allows the model to '自行根据语义判断需要选股的场景' which gives broad discretion — acceptable but worth noting as it may trigger the skill in ambiguous contexts.

ℹ Install Mechanism

No install spec (instruction-only) — lower risk. But README lists dependencies (Python/pandas/openpyxl/Chrome or Firefox) that are not declared in metadata. The included script expects pandas and openpyxl (via pandas ExcelWriter engine), and the README's browser requirement suggests scraping/automation not described in SKILL.md. This mismatch should be resolved.

✓ Credentials

The skill requests no environment variables, credentials, or config paths. There is no evidence it attempts to access unrelated secrets. The only file access described is user-supplied content and writing an output file to the workspace.

✓ Persistence & Privilege

always:false and no special persistence requested. The skill does write an output file within a workspace (normal). It does not request to modify other skills or system-wide settings.

Version History

v1.0.0

iwencai-screener 1.0.0 — Initial Release - 新增利好行业/概念/题材/产业链分析与选股功能，自动识别核心利好方向并聚焦3-5个重点方向。 - 根据输入内容，调用i问财进行相关行业/概念选股，返回每项前5个结果。 - 输出结构化行业分析和选股结果，包含每个方向的利好逻辑和产业链位置。 - 自动生成多Sheet的Excel文件，整理选股数据并完整保留返回字段。 - 支持异常处理，查询失败时记录错误并继续其他查询。

Metadata

Slug iwencai-screener

Version 1.0.0

License MIT-0

All-time Installs 1

Active Installs 1

Total Versions 1

Frequently Asked Questions

What is "i问财选股技能"?

根据输入的链接、文件、文本或关键词分析利好行业/概念/题材/产业链，聚焦核心受益方向，在i问财网站进行选股查询，返回每项前5个结果并生成Excel文件。当用户要求分析利好行业、概念选股、行业选股、选股、利好哪些股票等意图时使用此技能。 It is an AI Agent Skill for Claude Code / OpenClaw, with 367 downloads so far.

How do I install "i问财选股技能"?

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

Is "i问财选股技能" free?

Yes, "i问财选股技能" is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does "i问财选股技能" support?

"i问财选股技能" is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created "i问财选股技能"?

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

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