congress-stock-tracker
v1.0.1国会山股神线索追踪工具。追踪美国国会议员最新股票交易动态，识别被多位议员集中买入的重仓标的，结合议员所在委员会和近期立法/监管动态，分析交易背后可能的政策事件催化剂，并检测大额交易、密集交易、跨党派共识等异常信号。当用户询问以下问题时使用本技能：(1) 国会议员最近买了什么股票 (2) 哪些股票被议员重仓买入 (...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (tracking congressional trading and doing event‑correlation analysis) match the included files: an HTML/RSC scraping script plus local reference docs for committee–industry mappings and analysis templates. There are no unrelated credential or binary requirements.
Instruction Scope
Runtime instructions limit actions to running scripts, reading bundled reference files, scraping public data sources (Capitol Trades, Quiver, senate disclosures) and performing web searches for event correlation. This is coherent, but the SKILL.md explicitly asks the agent to perform '联网搜索' (network searches) which means the agent may query arbitrary web resources beyond the packaged references — expected for this use case but worth noting.
Install Mechanism
No install spec (instruction-only with a local Python script) — lowest-risk distribution; nothing in the files pulls remote installers or writes unexpected binaries to disk.
Credentials
The skill requires no environment variables, no credentials, and no config paths. Network access to public data sources is required and proportionate to the stated purpose. No requests for unrelated secrets are present.
Persistence & Privilege
always:false and user-invocable: true (default) — the skill does not request permanent/global inclusion or elevated agent privileges and does not modify other skills' configs.
Assessment
This skill appears to be internally consistent: it scrapes publicly available congressional trade disclosure pages and analyzes them against the included committee/analysis references. Before installing, consider: (1) scraping etiquette and terms of service — verify that fetching Capitol Trades / Quiver is permitted and respect rate limits; (2) data limitations — many disclosures report ranges and have up to 45‑day delays, so treat outputs as indicative, not definitive investment advice; (3) web searches invoked at runtime may contact arbitrary external sites — if you need to restrict outbound network access, run the skill in a sandboxed environment first; (4) review the full fetch_trades.py (the provided file appears focused on parsing and analysis) for any unexpected network endpoints or logging of outputs to remote servers; and (5) if you will rely on this for decisions, validate results against primary sources (official disclosures) and consider legal/regulatory/privacy implications of using aggregated political trading data.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.