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 skills add anthropics/financial-services --skill client-reportgit 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/client-report)<a href="https://agentmods.dev/skills/anthropics/financial-services/client-report"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/client-report/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/anthropics/financial-services/client-report"><img src="https://agentmods.dev/badge/skills/anthropics/financial-services/client-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00056 | $0.00779 |
| Opus 5.5 | $0.00022 | $0.00312 |
| Sonnet 5.5 | $0.00011 | $0.00156 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
client-report 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- client-report — 100% identical, 0 lines differ
- client-report — 91% identical, 7 lines differ
- client-report — 91% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Client Report
Workflow
Step 1: Report Parameters
- Client name and household
- Reporting period: Quarter, YTD, annual, custom range
- Accounts: All accounts or specific account
- Benchmark: S&P 500, 60/40 blend, custom benchmark matching IPS
- Firm branding: Logo, colors, disclaimers
Step 2: Performance Summary
Household Summary:
| QTD | YTD | 1-Year | 3-Year Ann. | 5-Year Ann. | ITD Ann. | |
|---|---|---|---|---|---|---|
| Portfolio | ||||||
| Benchmark | ||||||
| +/- |
By Account:
| Account | Type | Value | QTD | YTD | Benchmark |
|---|---|---|---|---|---|
| Joint Taxable | Brokerage | ||||
| John IRA | Traditional | ||||
| Jane Roth | Roth IRA | ||||
| 529 Plan | Education | ||||
| Total |
Step 3: Allocation Overview
Current allocation with visual (pie chart or bar chart):
| Asset Class | % of Portfolio | $ Value | Benchmark % |
|---|---|---|---|
Step 4: Holdings Detail
| Security | Asset Class | Shares | Price | Value | % of Portfolio | QTD Return |
|---|---|---|---|---|---|---|
Step 5: Market Commentary
Brief market summary tailored to the client's level of sophistication:
- What happened in markets this quarter (2-3 sentences)
- How it affected the portfolio
- Outlook and positioning rationale (2-3 sentences)
- No jargon for retail clients; can be more technical for sophisticated investors
Step 6: Activity Summary
- Trades executed during the period
- Contributions and withdrawals
- Dividends and interest received
- Fees charged
- Rebalancing activity
Step 7: Planning Notes
- Progress toward financial goals (retirement, education, etc.)
- Any plan changes or recommendations
- Upcoming action items
- Next review date
Step 8: Output
- PDF report (8-12 pages) with firm branding
- Word document for customization
- Excel data appendix (optional)
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 · 100 lines · 56 tokens per session scan A bbfede2e0dab
client-report is a skill published in the GitHub repository anthropics/financial-services (40,858 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 779 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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