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在 OpenClaw 中安装
/install stock-valuation
功能描述
Generate comprehensive company valuation reports as polished HTML/PDF. Use when user asks for stock valuation, company analysis, investment thesis, or deep-d...
安全使用建议
This skill appears coherent for producing valuation reports, but note a few practical points before installing: (1) it expects Python libraries (yfinance, pandas, matplotlib, lxml, numpy) to be available — the SKILL.md uses a 'uv run --with' pattern to indicate dependency injection; ensure your runtime supports that. (2) Qualitative research steps will fetch external web pages (Seeking Alpha, Twitter/X, analyst pages) — if you have credentials or rate limits for those services, the tool may attempt to use existing CLI/tools or agent connectors; review how web_search/web_fetch and any Twitter CLI behave in your environment. (3) The PDF step uses a hardcoded macOS Chrome path and may need adjustment on Linux/Windows. (4) The skill writes cache and output files under /tmp; if you run in a multi-tenant environment, consider the privacy implications of storing intermediate data in a shared /tmp. If you need stronger assurance, verify the bundled scripts locally and run them in a sandboxed environment first.
功能分析
Type: OpenClaw Skill
Name: stock-valuation
Version: 3.0.0
The skill bundle is a comprehensive and well-structured tool for generating stock valuation reports. It uses legitimate libraries like yfinance and matplotlib to fetch financial data and generate charts, orchestrating multiple sub-scripts in parallel via run_pipeline.py. The instructions in SKILL.md are strictly aligned with the stated purpose, including explicit safety rules to avoid handling personal data, and the code lacks any indicators of data exfiltration, malicious execution, or persistence.
能力评估
Purpose & Capability
Name/description match the code and instructions: the scripts fetch financial data (yfinance), compute DCF/technicals, generate charts and an HTML/PDF report. The declared purpose (valuation/reporting) aligns with the code and runtime steps.
Instruction Scope
SKILL.md directs the agent to run local Python scripts and to perform web research (Seeking Alpha, X/Twitter, analyst pages) and save results to /tmp. This is within scope for generating qualitative research for a valuation report, but it does require the agent's web_search/web_fetch and (optionally) a 'bird' CLI to access social posts. The instructions do not ask for unrelated files or secrets, but they do rely on the agent's ability to fetch third-party web pages (which may require credentials or CLI tools if those services are rate-limited or protected).
Install Mechanism
No install spec is included (instruction-only install path) and all code is bundled with the skill. Scripts depend on standard Python packages (yfinance, matplotlib, lxml, pandas, numpy) but there are no remote download URLs or extract steps. Risk from install mechanism is low.
Credentials
The skill requests no environment variables or secrets. It does assume certain helper tools are present: a 'uv run' wrapper (used in examples), optional 'bird' CLI for X/Twitter, and a macOS Google Chrome binary path for PDF printing. These are tooling assumptions (not requested credentials) and may fail on environments without them; they do not appear to demand unrelated credentials.
Persistence & Privilege
The skill does not request always: true and does not alter other skills or system-wide settings. Scripts write caches and outputs to /tmp and to /tmp/stock_valuation_cache — this is a local, limited persistence scope appropriate for the task.
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 stock-valuation - 安装完成后，直接呼叫该 Skill 的名称或使用
/stock-valuation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
v3.0.0
v3.0: Turnkey pipeline (run_pipeline.py + generate_report.py). Light professional theme, smart data-driven callouts after every section, detailed valuation framework with methodology explanations and calculation details, mandatory qualitative research flow (SA, X/Twitter, analyst consensus).
v2.1.0
v2.1: SKILL.md is now a complete end-to-end playbook. Phase 2 guides agents on exactly what to search, extract, and structure for qualitative research (earnings call data, revenue composition, geographic expansion, SA articles, Twitter sentiment). Required sections checklist expanded from 15 to 19 items. Multiple valuation methods (P/E multiples + mean reversion + DCF).
v2.0.1
v2.0.1: Rebuilt all scripts, removed personal info from template, added lxml dep note for historical valuation.
v2.0.0
v2.0: Added technicals (RSI/SMA/MACD), DCF model, historical PE context, insider/institutional data, options sentiment, chart generation (matplotlib), peer auto-detection, tweet filtering, data caching, earnings calendar. 12 scripts total. Updated HTML template with all new sections.
v1.0.0
Initial release: yfinance fundamentals, Seeking Alpha + X sentiment, peer comparison, scenario-based valuation, HTML/PDF report generation
元数据
常见问题
Stock Valuation 是什么？
Generate comprehensive company valuation reports as polished HTML/PDF. Use when user asks for stock valuation, company analysis, investment thesis, or deep-d... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 434 次。
如何安装 Stock Valuation？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stock-valuation」即可一键安装，无需额外配置。
Stock Valuation 是免费的吗？
是的，Stock Valuation 完全免费（开源免费），可自由下载、安装和使用。
Stock Valuation 支持哪些平台？
Stock Valuation 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 Stock Valuation？
由 Xin Liu（@xliucs）开发并维护，当前版本 v3.0.0。
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