How do I install the Economic Calendar skill?

Run npx skillmds@latest add modbender/economic-calendar in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Economic Calendar safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Economic Calendar?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Economic Calendar free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Economic Calendar?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Economic Calendar by modbender — Agent Skill

Name: Economic Calendar
Rating: 4.2 (5 reviews)
Author: modbender

File contents

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

---name: economic-calendardescription: Fetch macro-economic events (Fed, ECB, CPI, etc.) from Investing.com. No API key required — pure scraping.--- # economic-calendar Fetch macro-economic events (Fed, ECB, CPI, etc.) from Investing.com. No API key required — pure scraping. ## Usage ```bash # 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 ```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 ```bash 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 ```bash # 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 ```

Frequently asked questions

Economic Calendar