← 返回 Skills 市场
Industry Compare
作者
alsoforever
· GitHub ↗
· v1.0.0
· MIT-0
96
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install industry-compare
功能描述
行业对比技能 - 同行业多公司对比分析、行业地位评估
使用说明 (SKILL.md)
📈 行业对比技能
同行业多公司对比分析工具
作者: 滚滚家族 🌪️
版本: 1.0.0
主页: https://aigogoai.com
🎯 技能描述
一个帮助投资者对比同行业多家公司财务数据的工具。
核心功能:
- 📊 多公司财务数据对比
- 📈 行业地位评估
- 🎯 竞争优势分析
- 📉 行业趋势分析
- 💡 投资建议生成
🛠️ 使用方法
1. 多公司对比
from industry_compare import compare_companies
# 白酒行业对比
result = compare_companies(
stocks=["600519.SH", "000858.SZ", "002304.SZ"],
metrics=["pe", "pb", "roe", "revenue_growth", "net_margin"]
)
# 输出:对比表格、行业排名
2. 行业地位评估
from industry_compare import industry_ranking
# 行业地位评估
result = industry_ranking(
stock_code="600519.SH",
industry="白酒",
metrics=["market_cap", "revenue", "profit", "roe"]
)
# 输出:行业排名、市场份额
3. 竞争优势分析
from industry_compare import competitive_advantage
# 竞争优势分析
result = competitive_advantage(
stock_code="600519.SH",
competitors=["000858.SZ", "002304.SZ"]
)
# 输出:竞争优势、劣势分析
📋 输出示例
多公司对比
📈 行业对比 - 白酒行业
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
【对比公司】
贵州茅台 (600519.SH)
五粮液 (000858.SZ)
洋河股份 (002304.SZ)
【估值对比】
公司 PE PB PS
────────────────────────────────
贵州茅台 35.2x 12.8x 15.6x
五粮液 28.5x 8.5x 10.2x
洋河股份 22.1x 5.2x 6.8x
行业平均 28.6x 8.8x 10.9x
【盈利能力对比】
公司 ROE 净利率 毛利率
────────────────────────────────────
贵州茅台 30.2% 52.5% 92.1%
五粮液 25.8% 38.2% 78.5%
洋河股份 18.5% 28.5% 65.2%
行业平均 24.8% 39.7% 78.6%
【成长能力对比】
公司 收入增长 利润增长 资产增长
────────────────────────────────────────
贵州茅台 18.2% 20.5% 15.8%
五粮液 15.5% 18.2% 12.5%
洋河股份 10.2% 12.5% 8.5%
行业平均 14.6% 17.1% 12.3%
【行业地位】
贵州茅台:⭐⭐⭐⭐⭐ 行业龙头
五粮液:⭐⭐⭐⭐☆ 行业领先
洋河股份:⭐⭐⭐☆☆ 行业中游
✅ 行业对比完成!
🎯 行业地位评估标准
行业龙头(⭐⭐⭐⭐⭐)
- ✅ 市场份额 > 30%
- ✅ ROE > 行业平均 50%
- ✅ 收入规模行业第一
行业领先(⭐⭐⭐⭐☆)
- ✅ 市场份额 15-30%
- ✅ ROE > 行业平均 20%
- ✅ 收入规模行业前三
行业中游(⭐⭐⭐☆☆)
- ✅ 市场份额 5-15%
- ✅ ROE ≈ 行业平均
- ✅ 收入规模行业中游
行业落后(⭐⭐☆☆☆)
- ❌ 市场份额 \x3C 5%
- ❌ ROE \x3C 行业平均
- ❌ 收入规模行业落后
📚 参考文档
🌪️ 滚滚的话
"你只管 do it,行业对比交给滚滚!"
这个技能是滚滚家族为投资者打造的行业分析利器, 希望能帮助你更好地识别行业龙头和投资机会!
如有问题或建议,欢迎反馈!
翻滚的地球人,一直在! 🌪️💚
创建人: 滚滚 6 号(数据分析师)
创建时间: 2026-03-28
状态: ✅ 完成
安全使用建议
This skill claims to fetch financial data using Tushare but the included script only prints hard-coded example data and never reads TUSHARE_TOKEN. Also, SKILL.md examples import a module (industry_compare) that isn't packaged. Before installing or supplying any API token: 1) Inspect the code yourself (search for network calls / tushare imports) to confirm whether live data access is actually implemented. 2) Do not provide your TUSHARE_TOKEN until you confirm the token is used locally and not sent to third-party endpoints. 3) If you expect real data fetching, request the author to either (a) package a proper Python module or (b) update SKILL.md to match scripts/compare.py. If you cannot verify these, run the skill in a sandboxed environment or avoid providing secrets.
功能分析
Type: OpenClaw Skill
Name: industry-compare
Version: 1.0.0
The skill bundle is a financial analysis tool for comparing companies within an industry. The provided Python script (scripts/compare.py) contains hardcoded sample data for specific stocks and performs basic text-based reporting without any network requests, file system modifications, or sensitive data access. While the metadata in SKILL.md mentions a TUSHARE_TOKEN, the current code does not utilize it or attempt to exfiltrate it.
能力评估
Purpose & Capability
The declared purpose (financial/industry comparison) matches requested binaries (python3, pip) and a Tushare token (a reasonable data source). However, SKILL.md example imports `industry_compare` while the package only contains scripts/compare.py (no module packaging), and the registry/metadata disagree on whether TUSHARE_TOKEN is required. These are coherence issues (likely sloppy packaging), not direct evidence of malicious intent.
Instruction Scope
SKILL.md shows examples that imply live data fetching via Tushare, but the included scripts/compare.py contains only hard-coded example data and never reads TUSHARE_TOKEN or performs network requests. The examples instruct importing a module that doesn't exist in the bundle. This mismatch means the runtime instructions the agent would follow (per SKILL.md) do not match the actual code.
Install Mechanism
There is no install spec (instruction-only / small script). Nothing is downloaded from external URLs and no archives are extracted. Risk from install mechanism is low.
Credentials
The registry lists TUSHARE_TOKEN as a required env var, and SKILL.md lists it in metadata, which is reasonable for a finance data skill. But the provided code does not read or use TUSHARE_TOKEN (or any other credential). The token requirement appears unjustified by the shipped code and metadata even contradicts itself about whether the token is required.
Persistence & Privilege
The skill does not request elevated persistence (always:false) and contains no install-time hooks or modifications to other skills. It does not write to system configuration; normal autonomous invocation is allowed (default).
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install industry-compare - 安装完成后,直接呼叫该 Skill 的名称或使用
/industry-compare触发 - 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
v1.0.0
Industry-compare 1.0.0 – Initial Release
- Introduces tools for multi-company financial data comparison within the same industry.
- Provides industry position evaluation with clear ranking standards.
- Offers competitive advantage analysis among selected companies.
- Delivers industry trend insights and investment suggestions.
- Simple Python API with example usage for comparing metrics and generating reports.
元数据
常见问题
Industry Compare 是什么?
行业对比技能 - 同行业多公司对比分析、行业地位评估. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。
如何安装 Industry Compare?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install industry-compare」即可一键安装,无需额外配置。
Industry Compare 是免费的吗?
是的,Industry Compare 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Industry Compare 支持哪些平台?
Industry Compare 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 Industry Compare?
由 alsoforever(@alsoforever)开发并维护,当前版本 v1.0.0。
推荐 Skills