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 personamanagmentlayer/pcl --skill banking-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/banking-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/banking-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/banking-expert/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/personamanagmentlayer/pcl/banking-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/banking-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00045 | $0.01831 |
| Opus 5 | $0.00023 | $0.00915 |
| Sonnet 5 | $0.00009 | $0.00366 |
| Haiku 4.5 | $0.00005 | $0.00183 |
Grade A, and why
banking-expert 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.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Banking Expert
Expert guidance for banking systems, core banking platforms, regulatory compliance, and banking technology.
Core Concepts
Banking Systems
- Core banking systems (CBS)
- Account management
- Transaction processing
- Payment systems (ACH, SWIFT, SEPA)
- Loan management
- Risk management systems
Regulations
- Basel III/IV capital requirements
- Know Your Customer (KYC)
- Anti-Money Laundering (AML)
- GDPR for banking
- PSD2 (Payment Services Directive)
- Dodd-Frank Act
Key Technologies
- Real-time payment processing
- Mobile banking
- Open banking APIs
- Digital wallets
- Blockchain in banking
- AI for fraud detection
Account Management
from decimal import Decimal
from datetime import datetime
from enum import Enum
class AccountType(Enum):
CHECKING = "checking"
SAVINGS = "savings"
CREDIT = "credit"
LOAN = "loan"
class Account:
def __init__(self, account_number: str, account_type: AccountType,
customer_id: str, balance: Decimal = Decimal('0')):
self.account_number = account_number
self.type = account_type
self.customer_id = customer_id
self.balance = balance
self.status = "ACTIVE"
self.created_at = datetime.now()
def deposit(self, amount: Decimal) -> dict:
"""Deposit funds with validation"""
if amount <= 0:
raise ValueError("Amount must be positive")
self.balance += amount
return {
"transaction_id": self.generate_transaction_id(),
"type": "DEPOSIT",
"amount": amount,
"balance": self.balance,
"timestamp": datetime.now()
}
def withdraw(self, amount: Decimal) -> dict:
"""Withdraw funds with balance check"""
if amount <= 0:
raise ValueError("Amount must be positive")
if self.balance < amount:
raise ValueError("Insufficient funds")
self.balance -= amount
return {
"transaction_id": self.generate_transaction_id(),
"type": "WITHDRAWAL",
"amount": amount,
"balance": self.balance,
"timestamp": datetime.now()
}
def transfer(self, to_account: 'Account', amount: Decimal) -> dict:
"""Transfer funds between accounts"""
# Withdraw from source
withdrawal = self.withdraw(amount)
try:
# Deposit to destination
deposit = to_account.deposit(amount)
return {
"transaction_id": self.generate_transaction_id(),
"type": "TRANSFER",
"from_account": self.account_number,
"to_account": to_account.account_number,
"amount": amount,
"timestamp": datetime.now()
}
except Exception as e:
# Rollback on failure
self.deposit(amount)
raise e
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 Changed · +6 lines · +27 tokens per session 30d5dcf157d8
- 6d ago First seen · 295 lines · 18 tokens per session scan A 257a68bc7ca1
banking-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 2d ago), licensed Apache-2.0. It adds 45 tokens to every session and 1,831 once invoked, about $0.0002 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.
Other skills, from other repositories
surf
Use this skill — NOT browser or webfetch — for ALL Surf crypto-data calls. 83 endpoints at localhost:8402/v1/surf/ covering CEX/DEX markets, on-chain SQL over 80+ ClickHouse tables (Ethereum, Base, Arbitrum, BSC, TRON, HyperEVM, Tempo), 100M+ labeled wallets, prediction markets (Polymarket + Kalshi), social/CT…
polymarket-trading
Use when the user wants to actually PLACE, manage, or redeem bets on Polymarket (not just read odds — that's the blockrunpredexon data tools). Covers setup (deposit wallet, funding, approvals), buy/sell with confirm gating, positions, redeeming winnings, geoblock handling, and the end-to-end flow.
predexon
Use this skill — NOT browser or webfetch — for ALL Polymarket, Kalshi, Limitless, Opinion, Predict.Fun, dFlow, UMA oracle, and prediction market data. Provides structured API at localhost:8402/v1/pm/ for markets, cross-venue search, leaderboard, smart money, wallet analytics, wallet identity & clustering, UMA…
dcf-model
Build discounted cash flow valuation workbooks in Excel.
comps-analysis
Build comparable-company valuation workbooks in Excel.
osint-investigation
Follow the money via public records and sanctions data.