Financial Crime / AML Cold-Start Interview

Financial Crime / AML Cold-Start Interview is a skill for Claude Code, Codex from zgbrenner/agentcounsel. It costs 59 tokens per session (2,772 once invoked), scanned A, original, MIT.

A structured interview for a financial-crime and anti-money-laundering law team setting up its practice profile in AgentCounsel. It collects the team's jurisdictions, client context, working rules, source materials, review needs, and limits.

In plain words
What is it for?
Use it to create or rebuild the financial-crime profile for a law practice. A supervising attorney or authorised team member answers the questions, then reviews the resulting draft.
Why use it?
It replaces an open-ended setup process with one consistent set of questions. This helps prevent missing information before the team uses AgentCounsel for legal work.

Skill for Claude CodeCodex

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

Good fit Use it to create or rebuild the financial-crime profile for a law practice. A supervising attorney or authorised team member answers the questions, then reviews the resulting draft.

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Install with agentmods
npx agentmods add skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview
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 zgbrenner/agentcounsel --skill financial-crime-cold-start-interview
Clone the repo
git clone --depth 1 https://github.com/zgbrenner/agentcounsel

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 Financial Crime / AML Cold-Start Interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview/github.svg)](https://agentmods.dev/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview)
Your own site
<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview/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 Financial Crime / AML Cold-Start Interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview"><img src="https://agentmods.dev/badge/skills/zgbrenner/agentcounsel/financial-crime-cold-start-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,772 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.
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 $0.00059 $0.02772
Opus 5 $0.00030 $0.01386
Sonnet 5 $0.00012 $0.00554
Haiku 4.5 $0.00006 $0.00277

Measured 8d ago against content hash 21c0c3053d4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Financial Crime / AML Cold-Start Interview 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 8d 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.

skills/setup/financial-crime-cold-start-interview/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Financial Crime / AML Cold-Start Interview

Purpose

Conduct a structured, staged interview with a financial-crime practice group — led by a supervising attorney or authorized designee — to gather the information required to populate practice-profiles/financial-crime.md. The skill walks through all eight profile fields in sequence, records every answer, and assembles a filled draft of the profile for the practice group's review and approval. It produces draft legal work product for attorney review — not legal advice and not a final configuration.

Use When

  • A team is adopting AgentCounsel and needs to configure practice-profiles/financial-crime.md for the first time.
  • A financial-crime practice group is being onboarded to the library and no current profile exists.
  • The library is being stood up for the first time and the financial-crime area is included in scope.
  • A practice group wishes to revisit or rebuild its profile from scratch rather than make incremental updates.

Required Inputs

  • A knowledgeable person from the financial-crime practice group — a supervising attorney or an authorized designee — who can answer questions about the group's jurisdiction, positions, escalation rules, and review requirements.
  • Any existing playbooks, templates, source-of-truth documents, or standard-form documents the group already uses, so they can be referenced or cited in the profile.

Do Not Use When

  • The group is actively working a live financial-crime matter. This skill configures the library; it does not support an open matter.
  • A practice-profiles/financial-crime.md already exists and is current. In that case this is a refresh, not a cold start — though the skill may still be used to rebuild the profile deliberately.
  • No authorized person is available to answer. Do not complete the interview with guessed or inferred answers; record all gaps as [CONFIRM: ...] placeholders.
  • The purpose is to handle a specific financial-crime matter (use the appropriate matter-level skill for that task).

Read the full file on GitHub · 176 lines

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. 8d ago First seen · 176 lines · 59 tokens per session scan A 21c0c3053d4a

Subscribe to this mod's changes

Financial Crime / AML Cold-Start Interview is a skill published in the GitHub repository zgbrenner/agentcounsel (19 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 2,772 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 2026-09-03.

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