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 agentmods add commands/vyayasan/kyc-analyst/screengit clone --depth 1 https://github.com/vyayasan/kyc-analystWrote 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/commands/vyayasan/kyc-analyst/screen)<a href="https://agentmods.dev/commands/vyayasan/kyc-analyst/screen"><img src="https://agentmods.dev/badge/commands/vyayasan/kyc-analyst/screen.svg" alt="Measured on agentmods" 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 | $0.00007 | $0.00325 |
| Opus 5 | $0.00003 | $0.00162 |
| Sonnet 5 | $0.00001 | $0.00065 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
screen 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 4d 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.
What it actually says
Screen
Comprehensive sanctions screening against OFAC, EU, UK, and UN lists, plus PEP screening against international politically exposed persons databases.
Usage
/kyc:screen <customer name>
Screening Targets
- Individual customers
- Beneficial owners and UBOs
- Company directors and officers
- Shareholders (25%+ ownership)
- Family members and close associates (for PEP cases)
Screening Sources (12+)
Sanctions Lists:
- OFAC SDN (Specially Designated Nationals)
- EU Consolidated Sanctions List
- UK HM Treasury Sanctions List
- UN Consolidated Sanctions List
- Interpol Red/Yellow Notices
PEP Databases:
- EveryPolitician
- Wikidata political figures
- UK Parliament Register of Interests
- CIA World Factbook leadership
- National electoral commission databases
Additional:
- OpenSanctions
- UK Court records
- Companies House insolvencies
False Positive Assessment
When a potential match is found:
- Compare name similarity (exact match vs partial)
- Compare date of birth (if available)
- Compare nationality and location
- Assess context and distinguishing factors
- Document decision: TRUE MATCH or FALSE POSITIVE
HITL Checkpoint
All matches (even likely false positives) require analyst review and sign-off before proceeding.
Version: 1.0.0 Author: Vyayasan
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.
- 4d ago First seen · 62 lines · 7 tokens per session scan A 3a960162ea05
screen is a command published in the GitHub repository vyayasan/kyc-analyst (56 stars, last pushed 2mo ago), licensed MIT. It adds 7 tokens to every session and 325 once invoked, about $0.0000 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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