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 panaversity/agentfactory-business-plugins --skill kyc-risk-ratinggit clone --depth 1 https://github.com/panaversity/agentfactory-business-pluginsWrote 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/panaversity/agentfactory-business-plugins/kyc-risk-rating)<a href="https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/kyc-risk-rating"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/kyc-risk-rating/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/panaversity/agentfactory-business-plugins/kyc-risk-rating"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/kyc-risk-rating.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 | $0.00089 | $0.01881 |
| Opus 5 | $0.00044 | $0.00941 |
| Sonnet 5 | $0.00018 | $0.00376 |
| Haiku 4.5 | $0.00009 | $0.00188 |
Grade A, and why
kyc-risk-rating 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 11d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RISK-BASED APPROACH PRINCIPLE
The FATF Risk-Based Approach requires that AML/CFT measures be proportionate to the risks identified. Higher-risk customers receive Enhanced Due Diligence (EDD); lower-risk customers may receive Simplified Due Diligence (SDD) in some cases. Every customer must be assigned a risk rating and the rating must be reviewed periodically.
RISK SCORING FRAMEWORK — FOUR DIMENSIONS
Dimension 1: Customer Type Risk
| Customer Category | Risk Score |
|---|---|
| Listed company (major exchange) | 1 — Low |
| Regulated financial institution (home jurisdiction) | 2 — Low |
| Domestic corporate (private, no PEP links) | 3 — Medium |
| High net worth individual | 3 — Medium |
| Non-profit organisation / charity | 4 — Medium-High |
| Foreign private company | 4 — Medium-High |
| Offshore structure (Cayman, BVI, Panama) | 5 — High |
| Trust or foundation (complex beneficiary structure) | 5 — High |
| PEP individual (Tier 1 — foreign) | 5 — High (mandatory EDD) |
| Cash-intensive business (jeweller, currency exchange, casino) | 5 — High |
Dimension 2: Geographic Risk
| Geography | Risk Score |
|---|---|
| FATF member, low TI-CPI risk | 1 — Low |
| FATF member, moderate TI-CPI risk | 2 — Low-Medium |
| FATF under enhanced follow-up (grey list) | 4 — High |
| FATF blacklisted jurisdiction | 5 — Very High |
| Non-FATF jurisdiction with strong AML regime | 3 — Medium |
| Non-FATF jurisdiction with weak AML regime | 4 — High |
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.
- 11d ago First seen · 175 lines · 89 tokens per session scan A 61c0fadcda7e
kyc-risk-rating is a skill published in the GitHub repository panaversity/agentfactory-business-plugins (29 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 89 tokens to every session and 1,881 once invoked, about $0.0004 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 2026-08-30.
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