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.
npx skills add Mann1988/awesome-claude-skills --skill us-gov-shutdown-trackergit clone --depth 1 https://github.com/Mann1988/awesome-claude-skillsWrote 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.
[](https://agentmods.dev/skills/mann1988/awesome-claude-skills/us-gov-shutdown-tracker)<a href="https://agentmods.dev/skills/mann1988/awesome-claude-skills/us-gov-shutdown-tracker"><img src="https://agentmods.dev/badge/skills/mann1988/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.
<a href="https://agentmods.dev/skills/mann1988/awesome-claude-skills/us-gov-shutdown-tracker"><img src="https://agentmods.dev/badge/skills/mann1988/awesome-claude-skills/us-gov-shutdown-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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.
This is a copy
100% identical to us-gov-shutdown-tracker — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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:
-
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)
-
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)
What ships with it
6 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.
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.
- 12d ago First seen · 262 lines · 126 tokens per session scan A a873caddfa2e
us-gov-shutdown-tracker is a skill published in the GitHub repository Mann1988/awesome-claude-skills (65 stars, last pushed yesterday), 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. It is 100% identical to us-gov-shutdown-tracker, differing in 0 lines, and is treated as a copy.
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