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在 OpenClaw 中安装
/install tender-offer-arbitrage
功能描述
扫描市场上的要约收购(Tender Offer)套利机会，分析价差、odd-lot优先权和风险，生成投资分析报告。
安全使用建议
This skill appears coherent, but check these practical points before enabling it: (1) it needs network/search access — confirm your agent's network policies and that it will only query public data sources; (2) it does not request market-data or broker API keys, but accurate prices may require you to supply a read-only market-data API (use scoped, minimal-permission keys if needed); (3) ensure the agent is not granted brokerage credentials or the ability to place trades — the skill analyzes opportunities only; (4) review and sandbox where the agent writes reports (results/YYYY-MM-DD/report.md) so it cannot overwrite sensitive files; and (5) remember outputs are analytical and not investment advice.
功能分析
Type: OpenClaw Skill
Name: tender-offer-arbitrage
Version: 2.0.0
The skill bundle is benign. It instructs the AI agent to perform financial analysis on tender offers, requiring network access for searching public financial data (SEC EDGAR, InsideArbitrage, Seeking Alpha, MarketBeat) and fetching real-time stock prices, as well as file system write access to save the generated report to a designated `results/` directory. All required capabilities are explicitly stated and directly align with the skill's purpose. There is no evidence of malicious intent, data exfiltration, or prompt injection attempts designed to mislead the agent into harmful actions within the `SKILL.md` or other files.
能力评估
Purpose & Capability
Name/description match the runtime instructions: the SKILL.md instructs the agent to search SEC EDGAR and financial sites, verify filings, fetch market prices, compute spreads, analyze odd‑lot rules, rank opportunities, and write a report. There are no unexpected env vars, binaries, or config paths.
Instruction Scope
Instructions are specific and focused: explicit search queries, sites to check, data fields to extract, calculations to perform, risk checks, and an exact report format. The only broad capability required is network access (explicitly noted); the skill does not instruct reading unrelated local files, exfiltrating secrets, or performing trades.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes on-disk execution risk; the skill relies on the agent's existing network/search capabilities.
Credentials
The skill requests no environment variables, credentials, or config paths. Its needs (public web access and ability to save a report) are proportionate to the described financial scanning task.
Persistence & Privilege
The skill is not marked always:true and does not request persistent elevated privileges or modifications to other skills. It saves output to a local results directory as expected for a reporting skill.
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 tender-offer-arbitrage - 安装完成后，直接呼叫该 Skill 的名称或使用
/tender-offer-arbitrage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
v2.0.0
Initial release to ClawHub: scan, verify, and report arbitrage opportunities via SEC EDGAR using Python pipeline
元数据
常见问题
Tender Offer Arbitrage Scanner 是什么？
扫描市场上的要约收购(Tender Offer)套利机会，分析价差、odd-lot优先权和风险，生成投资分析报告。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 370 次。
如何安装 Tender Offer Arbitrage Scanner？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tender-offer-arbitrage」即可一键安装，无需额外配置。
Tender Offer Arbitrage Scanner 是免费的吗？
是的，Tender Offer Arbitrage Scanner 完全免费（开源免费），可自由下载、安装和使用。
Tender Offer Arbitrage Scanner 支持哪些平台？
Tender Offer Arbitrage Scanner 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 Tender Offer Arbitrage Scanner？
由 d-wwei（@d-wwei）开发并维护，当前版本 v2.0.0。
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