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martc03

Gov Financial Intel

作者 Martin · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install gov-financial-intel
功能描述
SEC EDGAR filings, BLS employment stats, and USDA crop prices. 3 tools for federal financial intelligence.
使用说明 (SKILL.md)

Federal Financial Intel

Real-time access to SEC filings, BLS employment statistics, and USDA commodity prices.

Setup

mcporter add gov-finance --url https://federal-financial-intel-mcp.apify.actor/mcp --transport streamable-http

Or add to your OpenClaw MCP config (~/.openclaw/mcp.json):

{
  "servers": {
    "gov-finance": {
      "url": "https://federal-financial-intel-mcp.apify.actor/mcp",
      "transport": "streamable-http"
    }
  }
}

Available Tools

finance_search_sec_filings

Search SEC EDGAR for company filings (10-K, 10-Q, 8-K, etc).

Search SEC filings for Apple
Show 10-K annual reports for Tesla

Parameters: searchText, formTypes (array, e.g. ["10-K","10-Q","8-K"]), dateFrom, dateTo, limit

finance_get_employment_stats

Get BLS employment statistics: unemployment rate, nonfarm payrolls, CPI, hourly earnings.

Show current unemployment rate
Get BLS employment data for 2024-2025

Parameters: seriesIds (array, e.g. ["LNS14000000","CES0000000001"]), startYear, endYear

finance_get_crop_prices

Get USDA crop and commodity prices (corn, soybeans, wheat, etc).

Show corn prices for 2024
Get USDA soybean prices by state

Parameters: commodities (array, e.g. ["CORN","SOYBEANS","WHEAT"]), states (array), years (array), statisticCategory, limit

Data Sources

  • SEC EDGAR — Securities and Exchange Commission (company filings)
  • BLS — Bureau of Labor Statistics (employment, CPI)
  • USDA NASS — National Agricultural Statistics Service (crop prices)

Use Cases

  • Company financial research
  • Economic indicator tracking
  • Agricultural market analysis
  • Investment due diligence

All data from free US government APIs. Zero cost. No API keys required.

安全使用建议
This skill appears to be a thin wrapper that routes queries to a third-party MCP hosted on Apify rather than calling government APIs directly. Before installing or enabling it: 1) Inspect the referenced GitHub repo (https://github.com/martc03/gov-mcp-servers) and confirm the Apify actor owner and code are trustworthy. 2) Understand what data your agent will send to the MCP: prompts, system context, attached files, or secrets — avoid sending any sensitive data through the skill. 3) Prefer self-hosting the MCP or calling the official US government APIs directly if you want to minimize third-party exposure. 4) Verify TLS and the actor's privacy/retention policy (logs, caching). 5) If you must use it, add the MCP entry manually (don't run arbitrary scripts) and run mcporter in a restricted environment (sandbox/container) until you confirm behavior. Additional information that would raise confidence: the GitHub repo contents and owner identity, a privacy/data-flow statement showing exactly what the MCP receives/transmits, and assurances about logging/retention policies for the Apify actor.
功能分析
Type: OpenClaw Skill Name: gov-financial-intel Version: 1.0.0 The skill bundle provides instructions for an OpenClaw agent to access federal financial intelligence data from SEC EDGAR, BLS, and USDA. It requires the `mcporter` binary and configures it to connect to an external API endpoint at `https://federal-financial-intel-mcp.apify.actor/mcp`. All instructions in SKILL.md are aligned with the stated purpose, describe legitimate tools and data sources, and do not contain any evidence of malicious intent, prompt injection attempts, data exfiltration, or unauthorized actions. The use of an external API is a standard operational pattern for skills that fetch data.
能力评估
Purpose & Capability
Name/description (SEC, BLS, USDA) match the provided tools and parameters. Requiring the mcporter binary and an MCP server is a plausible implementation choice for exposing these tools. However, calling a third-party proxy (https://federal-financial-intel-mcp.apify.actor/mcp) to access public US government APIs is not strictly necessary and is an architectural decision that should be justified; it's not obviously required by the stated purpose.
Instruction Scope
SKILL.md instructs the agent (or user) to add a remote MCP server and optionally write it into ~/.openclaw/mcp.json. It does not document what runtime context, prompts, or user data will be forwarded to that remote server, nor retention/logging policies. The transport 'streamable-http' implies an active network connection where the remote endpoint can receive queries and stream results, which could be used to exfiltrate sensitive information if the agent forwards it. The instructions are otherwise limited to invoking the declared tools and parameters (searches and query fields).
Install Mechanism
No install spec or code is shipped (instruction-only), so nothing is written by the skill itself. That lowers direct install risk. The runtime dependency on the external Apify-hosted MCP is the main operational risk: your agent will communicate with a third-party service (not the original government APIs). The skill requires the mcporter binary to establish that connection; ensure mcporter is from a trusted source.
Credentials
The registry declares no required environment variables or config paths, but the SKILL.md explicitly suggests modifying ~/.openclaw/mcp.json to add the remote server. This is an inconsistency: the skill will cause the agent/user to add a remote server entry to a local config file, which grants the remote endpoint a channel into the agent's MCP system. No credentials are requested, which is good, but there is no documentation about what gets transmitted across that channel (agent context, user prompts, files), so the lack of declared env/config requirements understates the practical access being requested.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent/enforced inclusion. The skill does instruct adding a server entry to ~/.openclaw/mcp.json, which persists that configuration locally; that is normal for registering an MCP. This persistent config plus a remote streamable connection increases the blast radius compared with a purely local/in-process integration, but the privilege level requested is not unusually elevated by metadata alone.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install gov-financial-intel
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /gov-financial-intel 触发
  4. 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
Initial release with real-time federal financial intelligence tools: - Search SEC EDGAR for company filings (10-K, 10-Q, 8-K, etc). - Retrieve BLS employment statistics, including unemployment rate and payrolls. - Access USDA crop and commodity prices by state and year. - No API keys required; uses free government data sources. - Easy setup for integration with mcporter or OpenClaw MCP.
元数据
Slug gov-financial-intel
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Gov Financial Intel 是什么?

SEC EDGAR filings, BLS employment stats, and USDA crop prices. 3 tools for federal financial intelligence. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 403 次。

如何安装 Gov Financial Intel?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install gov-financial-intel」即可一键安装,无需额外配置。

Gov Financial Intel 是免费的吗?

是的,Gov Financial Intel 完全免费(开源免费),可自由下载、安装和使用。

Gov Financial Intel 支持哪些平台?

Gov Financial Intel 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 Gov Financial Intel?

由 Martin(@martc03)开发并维护,当前版本 v1.0.0。

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