domain_aml

domain_aml is a skill for Claude Code, Codex from fdueblab/Micro-Agent. It costs 0 tokens per session (185 once invoked), scanned A, original, MIT.

Guidance for monitoring cross-border payments for money laundering and sanctions risks. It explains terms such as suspicious transactions and watchlists, which can include sanctioned people or politically exposed persons.

In plain words
What is it for?
Use it when designing or checking payment-monitoring workflows, including watchlist and rule checks, model-based ranking, configurable risk trade-offs, and case records.
Why use it?
It helps teams plan checks that can be reviewed later, while balancing false alarms against missed risks. It also notes that legal requirements differ by country.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when designing or checking payment-monitoring workflows, including watchlist and rule checks, model-based ranking, configurable risk trade-offs, and case records.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fdueblab/micro-agent/domain_aml
Install

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.

Any agent
npx skills add fdueblab/Micro-Agent --skill domain_aml
Clone the repo
git clone --depth 1 https://github.com/fdueblab/Micro-Agent

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for domain_aml

README.md
[![agentmods](https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_aml/github.svg)](https://agentmods.dev/skills/fdueblab/micro-agent/domain_aml)
Your own site
<a href="https://agentmods.dev/skills/fdueblab/micro-agent/domain_aml"><img src="https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_aml/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.

agentmods 80×15 button for domain_aml

Your own site · 80×15
<a href="https://agentmods.dev/skills/fdueblab/micro-agent/domain_aml"><img src="https://agentmods.dev/badge/skills/fdueblab/micro-agent/domain_aml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 185 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00185
Opus 5.5 $0.00000 $0.00074
Sonnet 5.5 $0.00000 $0.00037
Haiku 4.5 $0.00000 $0.00018

Measured 1mo ago against content hash c2a414b594d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

domain_aml 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.

workspace/skills/domain_aml/SKILL.md · 21 lines

What it actually says

你正在处理一个**跨境支付监测(反洗钱)**场景。以下是本领域的背景知识,请在规划和验证时参考。

术语

  • 可疑交易:需结合规则与模型评分进入复核队列的交易。
  • 名单:制裁、PEP 等外部或内部维护的实体清单。

约束

  • 模型与规则输出需可审计,保留决策依据摘要。
  • 误报与漏报权衡需可配置并与业务 KPI 对齐。

编排建议

  • 先名单与规则命中再模型排序。
  • 案例闭环需留痕。

合规说明

  • 反洗钱与制裁合规要求因法域而异,需对接权威名单源。
Changes

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.

  1. 1mo ago Changed c2a414b594d0
  2. 1mo ago First seen · 21 lines · 0 tokens per session scan A 196f23a6d0cc

Subscribe to this mod's changes

domain_aml is a skill published in the GitHub repository fdueblab/Micro-Agent (101 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 185 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 2026-08-30.

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