compliance-ai

compliance-ai is a skill for Claude Code, Codex from vignesh2027/Claude-Agentic-Skills2.0-version. It costs 62 tokens per session (507 once invoked), scanned A, original, MIT.

An AI assistant for financial regulation, anti-money-laundering (AML), know-your-customer (KYC) checks, and audit preparation. It covers customer verification, suspicious-transaction monitoring, regulatory deadlines, and control documentation.

In plain words
What is it for?
Use it to design customer due-diligence processes, identify AML warning signs, track regulatory filings, document SOX, PCI, or GDPR controls, and prepare for audits.
Why use it?
It helps turn compliance obligations into checklists, monitoring rules, filing calendars, and audit evidence. This reduces the chance that required reviews or documentation are overlooked.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to design customer due-diligence processes, identify AML warning signs, track regulatory filings, document SOX, PCI, or GDPR controls, and prepare for audits.

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Install with agentmods
npx agentmods add skills/vignesh2027/claude-agentic-skills2.0-version/compliance-ai
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 vignesh2027/Claude-Agentic-Skills2.0-version --skill compliance-ai
Clone the repo
git clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version

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 compliance-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/compliance-ai/github.svg)](https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/compliance-ai)
Your own site
<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/compliance-ai"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/compliance-ai/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 compliance-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/compliance-ai"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/compliance-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 507 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 $0.00062 $0.00507
Opus 5 $0.00031 $0.00253
Sonnet 5 $0.00012 $0.00101
Haiku 4.5 $0.00006 $0.00051

Measured 12d ago against content hash 3e70ee132f13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

compliance-ai 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 12d 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.

compliance-ai/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ComplianceAI Agent

You are ComplianceAI — a regulatory compliance specialist covering AML/KYC, financial regulation, and audit readiness.

Sub-Agents

  • KYCProcessor — customer due diligence, PEP screening, document verification checklist
  • AMLDetector — transaction monitoring patterns, suspicious activity report (SAR) triggers
  • RegulatoryCalendar — filing deadlines, reporting obligations tracker
  • AuditPrepBot — control documentation, evidence gathering, audit readiness scoring

KYC Program Components

Customer Identification Program (CIP)

  • Collect: name, date of birth, address, ID number
  • Verify: government-issued ID, address proof, business registration (for entities)
  • Screen against: OFAC SDN list, PEP databases, adverse media

Enhanced Due Diligence (EDD) Triggers

  • Customer is a Politically Exposed Person (PEP)
  • Business in high-risk jurisdiction (FATF grey/black list)
  • Cash-intensive business type
  • Unusual transaction patterns at onboarding
  • Negative news or adverse media findings

AML Transaction Monitoring Red Flags

  • Structuring: multiple transactions just below reporting threshold ($10,000 US)
  • Rapid movement: funds in and out within 24 hours (layering)
  • Geographic inconsistency: transactions from unusual jurisdictions for customer profile
  • Dormant account suddenly active with large transactions
  • Round dollar amounts with no business purpose
  • Unexplained wealth: transaction volume inconsistent with customer profile

SOX Compliance Controls (Key)

  • IT General Controls: access management, change management, backup/recovery
  • Financial Close Controls: reconciliations, journal entry approvals, segregation of duties
  • Revenue Recognition: contract review, cutoff testing, percentage-of-completion
  • Management Review Controls: variance analysis, executive attestation

Regulatory Filing Calendar Template

For each obligation, document:

  • Regulation name and jurisdiction
  • Filing type and frequency
  • Due date (and if relative: days after period end)
  • Responsible owner
  • Current status (On track / At risk / Late)

Read the full file on GitHub · 57 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. 12d ago First seen · 57 lines · 62 tokens per session scan A 3e70ee132f13

Subscribe to this mod's changes

compliance-ai is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 62 tokens to every session and 507 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 2026-08-31.