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Economic Calendar

Name: Economic Calendar
Author: quantx-heiko

by quantx-heiko · GitHub ↗ · v1.0.1

cross-platform ✓ Security Clean

565

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Install in OpenClaw

/install economic-calendar

Description

Fetch and display filtered macro-economic events from Investing.com with no API key, supporting date range, importance, country, timezone, and JSON output.

README (SKILL.md)

economic-calendar

Fetch macro-economic events (Fed, ECB, CPI, etc.) from Investing.com. No API key required — pure scraping.

Usage

# Today's high-importance US events (table output)
python scripts/economic_calendar.py

# Specific date with custom filters
python scripts/economic_calendar.py --date 2026-03-01 --importance high medium --countries "united states" germany

# Multiple days (next 7 days)
python scripts/economic_calendar.py --days 7 --importance high medium --countries "united states"

# JSON to stdout (for automation/piping)
python scripts/economic_calendar.py --date tomorrow --json stdout

# JSON to file (default: calendar_YYYYMMDD.json)
python scripts/economic_calendar.py --days 3 --json file

Options

Flag	Description	Default
`--date`	Start date: `today`, `tomorrow`, `yesterday`, or `YYYY-MM-DD`	`today`
`--days`	Fetch range of N days (overrides `--date`)	—
`--importance`	Filter levels: `low`, `medium`, `high` (space-separated)	`high`
`--countries`	Countries (space-separated, quotes for multi-word)	`united states`
`--timezone`	Timezone for event times	`GMT +1:00`
`--json`	JSON mode: `file`, `stdout`, `none`	`file`

Countries

Available country names (use quotes for multi-word):

united states
germany
united kingdom
france
japan
china
canada
australia
switzerland
eurozone

Timezones

Common timezones:

GMT +1:00 — Berlin/Vienna (CET) ✓ default
GMT +2:00 — Berlin/Vienna (CEST)
GMT -5:00 — New York (EST)
GMT -4:00 — New York (EDT)
GMT — UTC

Output Formats

Table (default)

Human-readable formatted table to stdout:

================================================================================
  Economic Calendar  |  25.02.2026
  Countries: United States  |  Timezone: GMT +1:00  |  Importance: high
================================================================================
  Time    Imp.     Curr.  Event                          Forecast  Previous  Actual
  ------- -------- ------ ------------------------------ --------- --------- --------
  14:30   high     USD    Unemployment Claims            215K      219K      —
  14:30   high     USD    Core PPI m/m                   0.3%      0.4%      —
================================================================================
  2 event(s) found.

JSON

{
  "from": "2026-02-25",
  "to": "2026-02-25",
  "timezone": "GMT +1:00",
  "importances": ["high"],
  "countries": ["united states"],
  "events": [
    {
      "date": "Tuesday, February 25, 2026",
      "time": "14:30",
      "currency": "USD",
      "importance": 3,
      "event": "Unemployment Claims",
      "actual": "",
      "forecast": "215K",
      "previous": "219K"
    }
  ]
}

Dependencies

pip install requests beautifulsoup4 lxml

Notes

Source: Investing.com (server-side rendered, reliable CSS selectors)
Rate limiting: Built-in delays between requests
Session handling: Maintains cookies across requests for proper session state
Data validity: Historical data + 1+ years forward
No API key: All data is publicly scraped

Use in Workflows

# Daily briefing — get today's high/medium US events as JSON
python3 skills/economic-calendar/scripts/economic_calendar.py \
  --date today \
  --importance high medium \
  --countries "united states" \
  --json stdout

Usage Guidance

This skill appears to do exactly what it says: scrape Investing.com and output filtered events. Before installing or running it: (1) review the full scripts/economic_calendar.py file (the copy provided here was truncated) to confirm there are no hidden network calls or unexpected behavior; (2) be aware scraping can violate a site's terms of service and may be blocked — the script mimics a browser and uses delays, which is expected for scraping; (3) fix the packaging mismatch (requirements.txt omits lxml even though BeautifulSoup('lxml') is used) to ensure proper dependency installation; (4) run in a restricted environment or sandbox if you want to be extra cautious, since the script makes outbound HTTP requests and writes files to disk. If you want higher assurance, provide the full, untruncated script for a line-by-line review.

Capability Analysis

Type: OpenClaw Skill Name: economic-calendar Version: 1.0.1 The skill bundle is a straightforward web scraper for economic calendar data from Investing.com. The `SKILL.md` provides clear, benign usage instructions without any prompt injection attempts. The `scripts/economic_calendar.py` code uses standard libraries (requests, beautifulsoup4) for web scraping, includes robust input validation (e.g., argparse choices, country validation), and limits network activity to the stated source (investing.com). File operations are restricted to saving JSON output to predictably named local files. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or obfuscation.

Capability Assessment

✓ Purpose & Capability

Name/description (economic calendar from Investing.com) match the included script and SKILL.md: the code builds POST requests to Investing.com, parses returned HTML, and formats output. No unrelated binaries or credentials are requested.

✓ Instruction Scope

SKILL.md tells the agent to run the included Python scraper with date/country/timezone filters and optional JSON output. The script operates via HTTP against investing.com, maintains a session/cookies, and writes JSON to stdout or to a local file — all within the declared purpose. There is no instruction to read unrelated local files or environment variables.

ℹ Install Mechanism

This is instruction-only (no installer). Dependencies are normal Python packages for scraping. Minor inconsistency: SKILL.md and script use/require 'lxml' parser, but requirements.txt lists requests, beautifulsoup4, and pytz (lxml is missing). That is an installation/packaging oversight but not a malicious signal.

✓ Credentials

The skill requests no environment variables, no credentials, and no config paths. The script uses only command-line args and makes network requests to investing.com; no secrets are accessed or required.

✓ Persistence & Privilege

always:false and disable-model-invocation left default (agent may call it when allowed). The skill does not request persistent system presence or modify other skills. It writes its own output files (calendar_YYYYMMDD.json) which is expected.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install economic-calendar
After installation, invoke the skill by name or use /economic-calendar
Provide required inputs per the skill's parameter spec and get structured output

Version History

v1.0.1

Removed MCC-specific references, generalized workflow examples

v1.0.0

Initial release: ForexFactory/Investing.com scraping, timezone conversion, German localization

Metadata

Slug economic-calendar

Version 1.0.1

License —

All-time Installs 5

Active Installs 5

Total Versions 2

Frequently Asked Questions

What is Economic Calendar?

Fetch and display filtered macro-economic events from Investing.com with no API key, supporting date range, importance, country, timezone, and JSON output. It is an AI Agent Skill for Claude Code / OpenClaw, with 565 downloads so far.

How do I install Economic Calendar?

Run "/install economic-calendar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Economic Calendar free?

Yes, Economic Calendar is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Economic Calendar support?

Economic Calendar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Economic Calendar?

It is built and maintained by quantx-heiko (@quantx-heiko); the current version is v1.0.1.

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