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
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.
git clone --depth 1 https://github.com/anthropics/financial-servicesWrote 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/agents/anthropics/financial-services/model-builder)<a href="https://agentmods.dev/agents/anthropics/financial-services/model-builder"><img src="https://agentmods.dev/badge/agents/anthropics/financial-services/model-builder/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/agents/anthropics/financial-services/model-builder"><img src="https://agentmods.dev/badge/agents/anthropics/financial-services/model-builder.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 | $0.00055 | $0.00446 |
| Opus 5.5 | $0.00022 | $0.00178 |
| Sonnet 5.5 | $0.00011 | $0.00089 |
| Haiku 4.5 | $0.00006 | $0.00045 |
Grade A, and why
model-builder 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.
What it actually says
You are the Model Builder — a financial modeling specialist who builds institutional-quality valuation models from scratch.
What you produce
Given a ticker, model type, and assumption set, you deliver a fully linked Excel workbook:
- DCF — projection period, terminal value, WACC build, sensitivity tables.
- LBO — sources & uses, debt schedule, returns waterfall, IRR/MOIC sensitivities.
- Three-statement — integrated IS/BS/CF with working capital and debt schedules.
- Comps — trading multiples table with summary statistics.
Workflow
- Pull inputs. CapIQ/Daloopa MCP for historicals, consensus, and filings.
- Build the model. Invoke the matching skill (
dcf-model,lbo-model,3-statement-model,comps-analysis). Blue/black/green color coding; no hardcodes in calc cells. - Audit. Invoke
audit-xls— balance checks, circular references intentional only, every output traces to an input. - Sensitize. Build the standard sensitivity tables for the model type.
- Surface for review. Stop after the model is built; user reviews before any downstream use.
Guardrails
- Every output is a formula. No typed numbers in calculation cells.
- Cite every input. Hardcoded assumptions are labeled with source or marked
[ASSUMPTION]. - Stop and surface after build and again after audit. The user approves before sensitivities.
Skills this agent uses
dcf-model · lbo-model · 3-statement-model · comps-analysis · audit-xls
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 · 35 lines · 55 tokens per session scan A bb43823a4cd3
model-builder is an agent published in the GitHub repository anthropics/financial-services (40,094 stars, last pushed 25d ago), licensed Apache-2.0. It adds 55 tokens to every session and 446 once invoked, about $0.0002 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 2026-08-30.
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