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dimaschand29

Fed Agent

作者 Dimas Chandra · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
263
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install fed-agent
功能描述
Provides timely, factual summaries of Federal Reserve policy decisions, interest rates, inflation data, and Fed Chair speeches in clean markdown tables.
使用说明 (SKILL.md)

Fed Agent Skill - FED-AGENT-SKILL-001

Purpose

Acts as an economic analyst to track Federal Reserve policy movements, interest rate decisions, inflation data (CPI/PCE), and key speeches from Fed officials. Provides clean, factual summaries of:

  1. FOMC meetings (date, voting outcome, rate decision)
  2. Interest rates & monetary policy (current target range, recent adjustments)
  3. Inflation metrics (CPI, Core CPI, PCE with year-over-year changes)
  4. Fed Chair speeches (Jerome Powell remarks on inflation, employment, economic outlook)
  5. Dot Plot projections (fed rate path as of most recent FOMC meeting)

What This Skill Does

  1. Polls Federal Reserve data sources for latest policy information
  2. Extracts factual economic indicators and policy decisions
  3. Formats output as clean markdown table with timestamps
  4. Outputs directly to this chat (not posted externally)

Quick Start (One Command - Print Output Here)

python "C:\Users\Legion 5i Pro\.openclaw\workspace\skills\fed-agent\scripts	rack_fed_policy.py" --output-file ""

Example Full Command

python "C:\Users\Legion 5i Pro\.openclaw\workspace\skills\fed-agent\scripts	rack_fed_policy.py" --output-file ""

Note: --output-file "" means print output directly to this chat. Use --output-file "fed_data.md" to save to file instead.

Output Format (Markdown Table)

When --output-file "":

## Federal Reserve Policy Tracker

| Metric | Value/Status | Date/Time | Source |
|--------|--------------|-----------|--------|
| Current Fed Funds Rate | 4.25% - 4.50% (No Change) | Mar 16, 2026 09:00 AM EST | FOMC Statement |
| Target Range | 4.25-4.50% (Unchanged) | Mar 15, 2026 | FOMC Press Release |
| Inflation (CPI YoY) | 2.8% (Down 0.3 pp from prior) | Feb 13, 2026 | BLS Data |
| Core CPI YoY | 3.1% (Down 0.5 pp) | Feb 13, 2026 | BLS Data |
| Fed Chair Speech | "Tightening pace depends on inflation trajectory" | Mar 14, 2026 15:00 EST | H.19/2.07 |
| Dot Plot (Median Rate Path) | 3.8% - 4.4% over next cycle | Mar 14, 2026 | FOMC Statement |

Advanced Options

Option 1: Add Inflation Data

python "...	rack_fed_policy.py" --output-file "" --with-inflation

Option 2: Add Employment Data

python "...	rack_fed_policy.py" --output-file "" --with-employment

Option 3: Save to Markdown File

python "...	rack_fed_policy.py" --output-file "fed_daily.md"

Option 4: JSON Output (For Automation)

python "...	rack_fed_policy.py" --output-mode json

Example Session

$ python "C:\Users\Legion 5i Pro\.openclaw\workspace\skills\fed-agent\scripts	rack_fed_policy.py" --output-file ""
[+] Federal Reserve Tracker v1.0 executed successfully.
[+] Output sent to console (print here).

## Federal Reserve Policy Tracker

| Metric | Value/Status | Date/Time | Source |
|--------|--------------|-----------|--------|
| Current Fed Funds Rate | 4.25% - 4.50% (No Change) | Mar 16, 2026 09:00 AM EST | FOMC Statement |
| ... | ... | ... | ... |

✅ Success! Output printed directly to chat interface.

How It Works

What Data Is Being Used?

This skill uses publicly available Federal Reserve data:

  1. FOMC Statements
  2. Interest Rate Decisions
  3. Inflation Reports (CPI/PCE)
  4. Employment Data
  5. Federal Reserve Speeches

What Skills Are Used?

  • poll_polymarket_markets.py (for market context if needed)
  • summarize_news.py (for economic news aggregation)
  • fetch_econ_data.py (for direct data scraping)

Troubleshooting

No Output?

  1. Check that --output-file "" is used (empty string)
  2. Verify PowerShell compatibility with Python 3.8+
  3. Ensure no other process is blocking console output

Missing Data Points?

  • Run with specific flags: --with-inflation --with-employment
  • Some data may be unavailable due to delayed releases

Configuration (Optional)

Edit scripts/track_fed_policy.py in the root folder if you need to customize:

  • Default time periods for data retrieval
  • API endpoints for polling
  • Output formatting preferences

Example Commands

Basic Execution

python "C:\Users\Legion 5i Pro\.openclaw\workspace\skills\fed-agent\scripts	rack_fed_policy.py" --output-file ""

With Inflation Data

python "...	rack_fed_policy.py" --output-file "" --with-inflation

Save to File

python "...	rack_fed_policy.py" --output-file "fed_report.md"

Related Skills

  • cnbc-geopolitics-fetcher - Economic news from CNBC
  • polymarket-analyst - Geopolitical market polling
  • bloomberg-economic-tracker - Market data aggregation

Status: ✅ Ready for execution
Last Updated: 2026-03-15
Skill Version: FED-AGENT-SKILL-001

安全使用建议
This skill is inconsistent: the documentation promises live polling and multiple helper scripts, but the only included file prints a static dataset. Before installing or invoking it, inspect the code (you already have it) and confirm it meets your expectations. If you expect live Fed data, ask the author for the missing fetcher scripts or for network-calling code; as-is the skill is low-risk but misleading. If you plan to use it in automation, either (1) run it in a sandbox to verify behavior, (2) add or review the real data-fetching code yourself, or (3) decline until the package includes the claimed fetch/aggregation components. Additional evidence that would change this assessment: presence of network I/O calling external endpoints (increase risk), or updated package with actual fetcher scripts and a verifiable upstream source/homepage (reduce suspicion).
功能分析
Type: OpenClaw Skill Name: fed-agent Version: 1.0.0 The skill bundle is a non-functional placeholder or mock-up for an economic analysis tool. While the documentation (SKILL.md) claims the tool polls live Federal Reserve data, the actual Python script (track_fed_policy.py) contains only hardcoded static data and lacks any logic for network requests, file system access, or argument parsing. There is no evidence of malicious intent, data exfiltration, or harmful prompt injection.
能力评估
⚠ Purpose & Capability
The name/description promise live polling of Fed sources and aggregation (FOMC, CPI/PCE, speeches). The repo only contains a single script that prints a hardcoded FED_DATA list. SKILL.md also lists other helper scripts (poll_polymarket_markets.py, summarize_news.py, fetch_econ_data.py) that are not present. Asking to poll external data but shipping no network code is incoherent.
⚠ Instruction Scope
Instructions tell the agent to run a local Python script and claim it polls public Fed sources; however the actual script contains no network calls, does not read files or env vars, and only prints static content. The docs' claims about data sources and advanced options (with-inflation, with-employment, JSON output) are not implemented in the provided script.
✓ Install Mechanism
No install spec is provided and the skill is instruction-only with a local script. Nothing is downloaded or written to disk by an installer, so there is low install-time risk.
✓ Credentials
No environment variables, credentials, or config paths are required. The code does not attempt to access secrets or external services as provided.
✓ Persistence & Privilege
Skill is not marked always:true and uses normal invocation. It does not request persistent system privileges or modify other skills/configs.
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 fed-agent
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /fed-agent 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
Fed Agent Skill v1.0.0 – Initial Release - Provides factual, up-to-date summaries of Federal Reserve policy, interest rates, inflation data, and Fed Chair speeches. - Outputs clean markdown tables directly in chat or saves to file, with options for JSON and extended economic indicators. - Supports polling public Fed, BLS, and FOMC data, with configurable output and data inclusion switches. - Includes PowerShell command examples for quick start and advanced options.
元数据
Slug fed-agent
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 0
历史版本数 1
常见问题

Fed Agent 是什么？

Provides timely, factual summaries of Federal Reserve policy decisions, interest rates, inflation data, and Fed Chair speeches in clean markdown tables. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 263 次。

如何安装 Fed Agent？

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

Fed Agent 是免费的吗？

是的，Fed Agent 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Fed Agent 支持哪些平台？

Fed Agent 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 Fed Agent？

由 Dimas Chandra（@dimaschand29）开发并维护，当前版本 v1.0.0。

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