Stock Report Generator
Security checks across static analysis, malware telemetry, and agentic risk
Overview
This appears to be a purpose-aligned stock report generator, but users should verify its financial conclusions and install/run its Python components carefully.
Before installing, be comfortable running a local Python script and optional packages. Verify any generated stock data and recommendations independently, and do not treat the report as licensed investment advice.
Static analysis
No static analysis findings were reported for this release.
VirusTotal
VirusTotal findings are pending for this skill version.
Risk analysis
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Installing Python packages can run third-party code on the user's machine.
The README asks users to rely on local Python packages and a manual pip install. This is purpose-aligned, but users should notice that dependency installation is outside a pinned install specification.
依赖项 - Python 3.10+ - kimi_finance（股票数据） - matplotlib（可视化） - memory_search（可选） 安装依赖： ```bash pip install matplotlib ```
Install dependencies in a virtual environment, verify package names and sources, and pin versions if using this in a repeatable workflow.
Running the script executes local code and may create report outputs in the working directory.
The documented workflow includes running a local Python script. This is central to the stated report-generation purpose and is user-directed rather than hidden or automatic.
python3 generate_report.py 五粮液 000858.SZ 全天复盘 2026-03-21
Run it only from the installed skill directory or a controlled workspace, and review generated files before sharing or relying on them.
A user could make financial decisions based on generated ratings or strategy language.
The report framework can produce confident investment and position-sizing recommendations. This matches the skill's purpose, but it is high-stakes content that users should not treat as guaranteed or professional advice.
| **A** | 90-100分 | 优秀 | 强烈推荐，可重仓配置 |
Cross-check market data and conclusions with official sources or a qualified financial professional; treat the generated report as informational only.
Past stored scores or notes could affect generated comparisons and recommendations.
The skill documents optional use of historical score lookup. Reusing stored historical context is purpose-aligned for trend comparison, but stale or inaccurate history could influence future reports.
memory_search — 历史评分查询（可选）
Keep historical data sources accurate, and avoid storing sensitive personal portfolio details in shared or persistent memory unless intended.