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 skills add vignesh2027/Claude-Agentic-Skills2.0-version --skill compliance-aigit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/compliance-ai)<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.
<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>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 | $0.00062 | $0.00507 |
| Opus 5 | $0.00031 | $0.00253 |
| Sonnet 5 | $0.00012 | $0.00101 |
| Haiku 4.5 | $0.00006 | $0.00051 |
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.
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)
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.
- 12d ago First seen · 57 lines · 62 tokens per session scan A 3e70ee132f13
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.
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