calendar

calendar is a skill for Claude Code from staskh/trading_skills. It costs 79 tokens per session (1,001 once invoked), scanned A, original, MIT.

A report of scheduled US economic releases such as inflation, employment, interest-rate, and growth data, with Eastern Time release times and available market estimates and results. It can cover one or more weekdays and optionally compare another calendar source.

In plain words
What is it for?
Use it to find what US economic data is scheduled today or this week, including CPI, jobs data, Federal Reserve decisions, GDP, and related releases.
Why use it?
It puts important macroeconomic announcements in one date-based view, so users do not need to check several release calendars. Impact filtering helps focus on major events.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to find what US economic data is scheduled today or this week, including CPI, jobs data, Federal Reserve decisions, GDP, and related releases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/staskh/trading_skills/calendar
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add staskh/trading_skills --skill calendar
Clone the repo
git clone --depth 1 https://github.com/staskh/trading_skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for calendar

README.md
[![agentmods](https://agentmods.dev/badge/skills/staskh/trading_skills/calendar/github.svg)](https://agentmods.dev/skills/staskh/trading_skills/calendar)
Your own site
<a href="https://agentmods.dev/skills/staskh/trading_skills/calendar"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/calendar/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for calendar

Your own site · 80×15
<a href="https://agentmods.dev/skills/staskh/trading_skills/calendar"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/calendar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,001 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.01001
Opus 5.5 $0.00032 $0.00400
Sonnet 5.5 $0.00016 $0.00200
Haiku 4.5 $0.00008 $0.00100

Measured yesterday against content hash 677cea0de52c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

calendar scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/events.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/calendar/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Economic Calendar

Scheduled US economic releases per weekday, from Nasdaq's public economic-events feed (through trading_skills.calendar_nasdaq, which corrects the feed's day offset and verifies each day against weekly releases with a fixed weekday).

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/events.py [--date YYYY-MM-DD] [--days N] [--impact all|high] [--forexfactory]

Arguments

  • --date - First day, YYYY-MM-DD (default: today ET). A weekend rolls to Monday.
  • --days - Number of weekdays to report (default: 1). Weekends are skipped.
  • --impact - all (default) or high (FOMC, CPI, PPI, PCE, NFP, unemployment, GDP, retail sales, ISM, Fed-chair remarks).
  • --forexfactory - Also fetch ForexFactory's calendar, cross-check each day, and fill Nasdaq's gaps: high/medium releases Nasdaq lacks are added to events, and a day Nasdaq can't serve is taken wholly from ForexFactory. ForexFactory publishes only the current Sun–Sat week; other days report available: false. The feed rate-limits to about one request per 5 minutes, so the week is cached in the system temp dir for an hour (an older copy is used if a fetch fails).

Output

  • generated_at, data_delay, source ("nasdaq")
  • days - one entry per weekday:
    • date, weekday
    • verified - true when the day's contents matched the requested weekday; false means use with care
    • times_verified - true when Nasdaq's times were converted to ET using a clock measured from fixed-time releases (claims/NFP/CPI 8:30, ISM/JOLTS/Michigan 10:00) on that day or a nearby Thursday in the same daylight/standard period; false means times assume Nasdaq's usual UTC−4 clock — confirm them
    • feed_date - the Nasdaq date parameter whose rows were used
    • events - list of {event, time_et, impact, actual, consensus, previous, source}, high-impact first. source is "nasdaq" or "forexfactory" (gap-filled; no actual, ForexFactory's own impact rating). null when no source can serve the day (note says to verify manually — never read null as a quiet day)
    • forexfactory (with --forexfactory) - {available, events, cross_check} or {available: false, note}
      • cross_check.confirmed - same release at the same time in both sources
      • cross_check.time_mismatch - same release, different time (check which time is right)
      • cross_check.missing_in_nasdaq - high/medium ForexFactory release Nasdaq lacks
      • cross_check.nasdaq_only - high-impact Nasdaq release ForexFactory lacks

Read the full file on GitHub · 72 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed 677cea0de52c
  2. 2d ago First seen · 72 lines · 79 tokens per session scan A fa5ed6bfd16d

Subscribe to this mod's changes

calendar is a skill published in the GitHub repository staskh/trading_skills (399 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 1,001 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-31.

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