us-gov-shutdown-tracker

us-gov-shutdown-tracker is a skill for Claude Code, Codex from fleurytian/awesome-claude-skills. It costs 126 tokens per session (2,254 once invoked), scanned A, original, MIT.

A skill for tracking how US government shutdowns affect financial-market liquidity. It examines Treasury cash, bank reserves, and overnight borrowing rates using data from the FRED API, a Federal Reserve economic-data service.

In plain words
What is it for?
Checking shutdown status and liquidity effects, monitoring the Treasury General Account, EFFR, and SOFR, assessing tightening or easing, and comparing current conditions with earlier shutdowns.
Why use it?
It helps assess whether a shutdown is draining reserves and putting pressure on short-term funding markets.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Checking shutdown status and liquidity effects, monitoring the Treasury General Account, EFFR, and SOFR, assessing tightening or easing, and comparing current conditions with earlier shutdowns.

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Install with agentmods
npx agentmods add skills/fleurytian/awesome-claude-skills/us-gov-shutdown-tracker
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 fleurytian/awesome-claude-skills --skill us-gov-shutdown-tracker
Clone the repo
git clone --depth 1 https://github.com/fleurytian/awesome-claude-skills

Made for: Claude Code, Codex.

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 us-gov-shutdown-tracker

README.md
[![agentmods](https://agentmods.dev/badge/skills/fleurytian/awesome-claude-skills/us-gov-shutdown-tracker/github.svg)](https://agentmods.dev/skills/fleurytian/awesome-claude-skills/us-gov-shutdown-tracker)
Your own site
<a href="https://agentmods.dev/skills/fleurytian/awesome-claude-skills/us-gov-shutdown-tracker"><img src="https://agentmods.dev/badge/skills/fleurytian/awesome-claude-skills/us-gov-shutdown-tracker/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 us-gov-shutdown-tracker

Your own site · 80×15
<a href="https://agentmods.dev/skills/fleurytian/awesome-claude-skills/us-gov-shutdown-tracker"><img src="https://agentmods.dev/badge/skills/fleurytian/awesome-claude-skills/us-gov-shutdown-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,254 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 $0.00126 $0.02254
Opus 5 $0.00063 $0.01127
Sonnet 5 $0.00025 $0.00451
Haiku 4.5 $0.00013 $0.00225

Measured 12d ago against content hash a873caddfa2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

us-gov-shutdown-tracker 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze_shutdown.py, scripts/visualize.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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

us-gov-shutdown-tracker/SKILL.md · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.

US Government Shutdown Liquidity Tracker

Onboarding Guidance

When this skill is first used or when the user seems unsure how to use it or ask you to make something amazing with it, guide them to ask Claude this specific question:

"美国政府停摆结束了吗? 对流动性的影响如何?"

Do NOT suggest other questions or broad explorations. Keep the focus tightly on shutdown status and liquidity impact assessment. The skill is designed for this precise use case.

Overview

This skill analyzes how US government shutdowns create "stealth tightening" effects in money markets through the Treasury General Account (TGA) mechanism. When federal spending stops but tax revenues continue, TGA accumulates and mechanically drains bank reserves, potentially raising market funding costs beyond the Federal Reserve's policy intent.

When to Use This Skill

  • User asks to track liquidity during a government shutdown
  • User wants to assess whether shutdown effects are "easing" or "tightening"
  • User mentions TGA, SOFR premium, or "stealth tightening" (变相加息)
  • User requests comparison with historical shutdown episodes (2013, 2018-19)
  • User wants a quick liquidity health check

Optimal timing: Wednesday evenings or Thursday mornings (after weekly TGA/reserves data release)

Quick Start

Basic Usage (Current Shutdown Analysis)

python scripts/analyze_shutdown.py --output results.json
python scripts/visualize.py results.json --output chart.png

This analyzes the 2025 shutdown (Oct 1 - present) with default settings.

Custom Date Range

python scripts/analyze_shutdown.py \
  --start-date 2018-12-22 \
  --baseline-date 2018-12-15 \
  --end-date 2019-01-25 \
  --output results_2018.json

Output Format

The analysis produces:

  1. JSON data file containing:

    • Raw daily data (EFFR, SOFR)
    • Weekly data (TGA, reserves)
    • Key time points (baseline, shutdown start, TGA peak, latest)
    • Liquidity status assessment (EASING/TIGHTENING/STABLE/MIXED)
  2. Visualization chart (PNG) with three panels:

    • TGA vs Bank Reserves (dual-axis weekly data)
    • EFFR vs SOFR (daily rates)
    • SOFR Premium over EFFR (liquidity stress indicator)

Read the full file on GitHub · 262 lines

Files

What ships with it

4 files 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. 12d ago First seen · 262 lines · 126 tokens per session scan A a873caddfa2e

Subscribe to this mod's changes

us-gov-shutdown-tracker is a skill published in the GitHub repository fleurytian/awesome-claude-skills (317 stars, last pushed 4mo ago), licensed MIT. It adds 126 tokens to every session and 2,254 once invoked, about $0.0006 per session on Opus 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 2026-08-30.

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