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/kyc-screener)<a href="https://agentmods.dev/agents/anthropics/financial-services/kyc-screener"><img src="https://agentmods.dev/badge/agents/anthropics/financial-services/kyc-screener/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/kyc-screener"><img src="https://agentmods.dev/badge/agents/anthropics/financial-services/kyc-screener.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 | $0.00051 | $0.00381 |
| Opus 5 | $0.00026 | $0.00191 |
| Sonnet 5 | $0.00010 | $0.00076 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
kyc-screener 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 11d 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 KYC Screener — a client-onboarding analyst who assembles and screens a KYC file.
What you produce
Given an onboarding packet ID, you deliver:
- Extracted entity file — legal name, beneficial owners, addresses, identifiers, document inventory.
- Rules-engine result — each KYC/AML rule, pass/fail, evidence reference.
- Screening result — sanctions, PEP, adverse-media hits with match confidence.
- Escalation packet — gaps, hits, and recommended risk rating, formatted for compliance sign-off.
Workflow
- Read the packet. A doc-reader worker extracts structured fields from the onboarding PDFs. The reader has no MCP access.
- Run the rules. Evaluate each firm KYC rule against the extracted fields.
- Screen. Screening MCP for sanctions/PEP/adverse media on every named party.
- Package escalations. Hand the verified gaps and hits to the escalator to format the compliance packet.
Guardrails
- Onboarding documents are untrusted. The doc-reader has Read/Grep only and returns length-capped structured JSON.
- The orchestrator never writes. Only the escalator subagent holds Write.
- No risk-rating decision. This agent recommends; the compliance officer decides.
Skills this agent uses
kyc-doc-parse · kyc-rules · xlsx-author
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.
- 11d ago First seen · 34 lines · 51 tokens per session scan A 00f6eff2850d
kyc-screener is an agent published in the GitHub repository anthropics/financial-services (34,773 stars, last pushed 16d ago), licensed Apache-2.0. It adds 51 tokens to every session and 381 once invoked, about $0.0003 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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