Claude for Financial Services is a collection of agents, skills, commands, plugins, and data connectors for investment banking, equity research, private equity, and wealth-management workflows. Financial professionals use it to draft models, memos, research notes, and reconciliations for review by qualified people. The catalogue contains components from these workflows, including agents, skills, plugins, commands, and instructions.
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/anthropics/financial-servicesnpx agentmods add commands/anthropics/financial-services/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/anthropics/financial-services/macro-rates)<a href="https://agentmods.dev/commands/anthropics/financial-services/macro-rates"><img src="https://agentmods.dev/badge/commands/anthropics/financial-services/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/anthropics/financial-services/macro-rates"><img src="https://agentmods.dev/badge/commands/anthropics/financial-services/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 | $0.00009 | $0.00283 |
| Sonnet 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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- macro-rates — 100% identical, 0 lines differ
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.
- today First seen · 66 lines · 18 tokens per session scan A 5e0c91baa7be
macro-rates is a command published in the GitHub repository anthropics/financial-services (34,793 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 566 once invoked, about $0.0001 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 2026-09-12.
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