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/brainbytes-dev/everything-claude-finance/aml-kycnpx skills add brainbytes-dev/everything-claude-finance --skill aml-kycgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-financeWrote 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/brainbytes-dev/everything-claude-finance/aml-kyc)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-finance/aml-kyc"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-finance/aml-kyc.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 5.1 | $0.00000 | $0.01896 |
| Opus 5 | $0.00000 | $0.00948 |
| Sonnet 5 | $0.00000 | $0.00379 |
| Haiku 4.5 | $0.00000 | $0.00190 |
Grade A, and why
aml-kyc 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.
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AML/KYC Compliance
Customer due diligence, suspicious activity reporting, PEP screening, sanctions — Anti-Money Laundering and Know Your Customer compliance.
When to Activate
- Customer onboarding and KYC process design
- Risk classification of customers (CDD, EDD, SDD)
- PEP (Politically Exposed Persons) screening procedures
- Beneficial ownership identification and verification
- Suspicious transaction reporting (STR/SAR)
- Sanctions screening implementation
- Ongoing monitoring and periodic review design
- Travel rule compliance for fund transfers
- AML program assessment or audit preparation
Core Concepts
Customer Due Diligence Tiers
Simplified Due Diligence (SDD) — low-risk customers:
- Permitted only when ML/TF risk is demonstrably low
- Reduced identification requirements but identity must still be established
- Examples: regulated financial institutions, listed companies, government entities
- Still requires ongoing monitoring (at reduced frequency)
Customer Due Diligence (CDD) — standard tier:
- Identification and verification of customer identity (natural persons: name, DOB, address, ID document; legal entities: name, registration, registered address, directors)
- Identification of beneficial owners (typically > 25% ownership threshold)
- Understanding the purpose and intended nature of the business relationship
- Ongoing monitoring of transactions
- Must be completed before establishing business relationship
Enhanced Due Diligence (EDD) — high-risk situations:
- Mandatory for: PEPs, high-risk countries (FATF grey/black list), complex ownership structures, correspondent banking, unusual transaction patterns
- Additional measures: source of wealth, source of funds, senior management approval, enhanced ongoing monitoring, more frequent reviews
Customer Risk Classification
Risk factors to assess:
| Category | Higher Risk Indicators |
|---|---|
| Customer type | Cash-intensive business, MSB, trust, shell company, PEP |
| Geography | FATF grey/black list, high corruption (CPI < 40), tax haven |
| Product/service | Private banking, correspondent banking, trade finance, crypto |
| Transaction | Unusual patterns, structuring, rapid movement of funds |
| Channel | Non-face-to-face, third-party introducers |
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 · 201 lines · 0 tokens per session scan A e8757ebfa84a
aml-kyc is a skill published in the GitHub repository brainbytes-dev/everything-claude-finance (5 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,896 tokens. 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 2026-08-31.
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