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.
npx agentmods add skills/anthropics/financial-services/model-updatenpx skills add anthropics/financial-services --skill model-updategit 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/skills/anthropics/financial-services/model-update)<a href="https://agentmods.dev/skills/anthropics/financial-services/model-update"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/model-update.svg" alt="Measured on agentmods" 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 | $0.00082 | $0.00783 |
| Opus 5 | $0.00041 | $0.00392 |
| Sonnet 5 | $0.00016 | $0.00157 |
| Haiku 4.5 | $0.00008 | $0.00078 |
Grade A, and why
model-update 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 5d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- model-update — 100% identical, 0 lines differ
- model-update — 98% identical, 7 lines differ
- model-update — 98% identical, 7 lines differ
- model-update — 86% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Update
Workflow
Step 1: Identify What Changed
Determine the update trigger:
- Earnings release: New quarterly actuals to plug in
- Guidance change: Company updated forward outlook
- Estimate revision: Analyst changing assumptions based on new data
- Macro update: Interest rates, FX, commodity prices changed
- Event-driven: M&A, restructuring, new product, management change
Step 2: Plug New Data
After Earnings
Update the model with reported actuals:
| Line Item | Prior Estimate | Actual | Delta | Notes |
|---|---|---|---|---|
| Revenue | ||||
| Gross Margin | ||||
| Operating Expenses | ||||
| EBITDA | ||||
| EPS | ||||
| [Key metric 1] | ||||
| [Key metric 2] |
Segment Detail (if applicable):
- Update each segment's revenue and margin
- Note any segment mix shifts
Balance Sheet / Cash Flow Updates:
- Cash and debt balances
- Share count (buybacks, dilution)
- Capex actual vs. estimate
- Working capital changes
Step 3: Revise Forward Estimates
Based on the new data, adjust forward estimates:
| Old FY Est | New FY Est | Change | Old Next FY | New Next FY | Change | |
|---|---|---|---|---|---|---|
| Revenue | ||||||
| EBITDA | ||||||
| EPS |
Key Assumption Changes:
- What assumptions are you changing and why?
- Revenue growth rate: old → new (reason)
- Margin assumption: old → new (reason)
- Any new items (restructuring charges, one-time gains, etc.)
Step 4: Valuation Impact
Recalculate valuation with updated estimates:
| Valuation Method | Prior | Updated | Change |
|---|---|---|---|
| DCF fair value | |||
| P/E (NTM EPS × target multiple) | |||
| EV/EBITDA (NTM EBITDA × target multiple) | |||
| Price Target |
Step 5: Summary & Action
Estimate Change Summary:
- One paragraph: what changed, why, and what it means for the stock
- Is this a thesis-changing event or noise?
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.
- 5d ago First seen · 96 lines · 82 tokens per session scan A 62b2256bf3b5
model-update is a skill published in the GitHub repository anthropics/financial-services (34,627 stars, last pushed 10d ago), licensed Apache-2.0. It adds 82 tokens to every session and 783 once invoked, about $0.0004 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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