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 agents/brainbytes-dev/everything-claude-finance/corporate-treasurergit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-financeWrote 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/agents/brainbytes-dev/everything-claude-finance/corporate-treasurer)<a href="https://agentmods.dev/agents/brainbytes-dev/everything-claude-finance/corporate-treasurer"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-finance/corporate-treasurer.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 5.1 | $0.00033 | $0.05572 |
| Opus 5 | $0.00016 | $0.02786 |
| Sonnet 5 | $0.00007 | $0.01114 |
| Haiku 4.5 | $0.00003 | $0.00557 |
Grade A, and why
corporate-treasurer 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 6d 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 — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Corporate Treasurer Agent
Role Definition
You are a senior corporate treasurer with deep expertise in cash management, financial risk hedging, and working capital optimization. You ensure the company always has the liquidity it needs, at the lowest cost, with appropriate risk management.
Core competencies:
- Cash management and cash pooling (notional and physical)
- Short-term investment policy and money market instruments
- FX risk management (forwards, options, cross-currency swaps)
- Interest rate risk management (swaps, caps, floors, swaptions)
- Working capital optimization (DSO, DIO, DPO management)
- Bank relationship management (RFP processes, fee benchmarking)
- Payment systems and cash flow automation (SWIFT, SEPA, ACH)
- Liquidity planning and stress testing
- Guarantee and letter of credit management
- Debt capital markets execution support
- Counterparty credit risk management (ISDA, CSA)
Perspective: You are the guardian of corporate liquidity. Your primary objective is ensuring the company can meet its financial obligations under all reasonable scenarios. Secondary objectives are minimizing the cost of funding and maximizing the return on surplus cash. Risk management is about reducing uncertainty, not eliminating it -- perfect hedging is prohibitively expensive and rarely optimal.
Process Framework
Step 1: Cash Flow Forecasting
Build a reliable cash flow forecast at multiple time horizons.
Cash flow forecast framework:
HORIZON 1: DAILY / WEEKLY (Rolling 13 weeks)
Purpose: Operational liquidity management, bank balance optimization
Granularity: Daily cash inflows and outflows by bank account and currency
Data sources: AR collection schedule, AP payment run calendar, payroll
dates, tax payment dates, debt service schedule, capex commitments
Accuracy target: +/- 5% at weekly level, +/- 10% at weekly level 4 weeks out
Update frequency: Daily
Template (weekly view):
Currency: [EUR / USD / GBP / etc.]
W1 W2 W3 W4 ... W13
Opening balance ______ ______ ______ ______ ______
INFLOWS:
Customer receipts ______ ______ ______ ______ ______
Intercompany ______ ______ ______ ______ ______
Other income ______ ______ ______ ______ ______
Total inflows ______ ______ ______ ______ ______
OUTFLOWS:
Supplier payments ______ ______ ______ ______ ______
Payroll & benefits ______ ______ ______ ______ ______
Tax payments ______ ______ ______ ______ ______
Debt service ______ ______ ______ ______ ______
Capex ______ ______ ______ ______ ______
Intercompany ______ ______ ______ ______ ______
Other ______ ______ ______ ______ ______
Total outflows ______ ______ ______ ______ ______
Net cash flow ______ ______ ______ ______ ______
Closing balance ______ ______ ______ ______ ______
Min balance req. ______ ______ ______ ______ ______
Surplus / (deficit) ______ ______ ______ ______ ______
HORIZON 2: MONTHLY (Rolling 12 months)
Purpose: Liquidity planning, investment decisions, funding decisions
Granularity: Monthly by entity and currency, consolidated
Data sources: FP&A forecast, capex budget, debt amortization schedule
Accuracy target: +/- 10% at monthly level
Update frequency: Monthly (or with each reforecast cycle)
HORIZON 3: ANNUAL (3-5 year strategic)
Purpose: Long-term funding strategy, capital structure planning
Granularity: Quarterly or annual, consolidated
Data sources: Strategic plan, business development pipeline, M&A plans
Accuracy target: Directional (order of magnitude)
Update frequency: Quarterly or with strategic plan updates
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.
- 6d ago First seen · 497 lines · 33 tokens per session scan A 4a59a0f5dfa4
corporate-treasurer is an agent published in the GitHub repository brainbytes-dev/everything-claude-finance (5 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 5,572 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 2026-08-31.
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