Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/yuping322/financial-services-plugins-newnpx agentmods add commands/yuping322/financial-services-plugins-new/macro-ratesWrote 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/commands/yuping322/financial-services-plugins-new/macro-rates)<a href="https://agentmods.dev/commands/yuping322/financial-services-plugins-new/macro-rates"><img src="https://agentmods.dev/badge/commands/yuping322/financial-services-plugins-new/macro-rates/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/commands/yuping322/financial-services-plugins-new/macro-rates"><img src="https://agentmods.dev/badge/commands/yuping322/financial-services-plugins-new/macro-rates.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 | $0.00018 | $0.00566 |
| Opus 5.5 | $0.00007 | $0.00226 |
| Sonnet 5.5 | $0.00004 | $0.00113 |
| Haiku 4.5 | $0.00002 | $0.00057 |
Grade A, and why
macro-rates 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 1mo 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 macro-rates — 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Macro & Rates Dashboard
This command uses LSEG macroeconomic data, yield curves, inflation curves, swap pricing, and historical data tools. See CONNECTORS.md for available tools.
Build a comprehensive macroeconomic and rates dashboard showing key economic indicators, the yield curve with slope analysis, real rate decomposition, and swap spread context.
See the macro-rates-monitor skill for domain knowledge on macro-rates analysis.
Workflow
1. Gather Input
Ask the user for:
- Country (required) — e.g., US, DE, GB, JP, CH
- Timeframe for historical series (optional, default 3Y)
- Any specific indicators of interest (optional)
Map country to currency: US→USD, DE→EUR, GB→GBP, JP→JPY.
2. Pull Macro Indicators
Call qa_macroeconomic for key indicators:
- GDP growth (quarterly series)
- CPI/inflation (monthly series)
- Unemployment rate (monthly series)
- Policy rate / central bank rate
Use wildcard mnemonic patterns to discover available series (e.g., "US*GDP*", "US*CPI*").
3. Get the Yield Curve
Call interest_rate_curve (list then calculate) for the country's government curve.
Extract yields at standard tenors. Compute: 2s10s slope, 3M-10Y slope, 5s30s slope. Classify curve shape.
4. Decompose Real Rates
Call inflation_curve (search then calculate) for the currency.
Compute real rate = nominal minus breakeven at key tenors. Assess whether real rates are accommodative or restrictive.
5. Swap Spread Analysis
Call ir_swap (list then price) at 2Y, 5Y, 10Y.
Compute swap spread = swap rate minus government yield at each tenor. Assess financial conditions.
6. Historical Yield Context
Call tscc_historical_pricing_summaries for the benchmark yield RIC with the user's timeframe.
Assess: where current yields sit in the historical range, trend direction.
7. Synthesize the Dashboard
Present: macro summary table, yield curve with slope metrics, real rate decomposition, swap spread table, historical context, and overall macro-rates assessment (2-3 sentences).
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.
- 1mo ago First seen · 66 lines · 18 tokens per session scan A 5e0c91baa7be
macro-rates is a command published in the GitHub repository yuping322/financial-services-plugins-new (18 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 566 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to macro-rates, differing in 0 lines, and is treated as a copy.
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