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/fpa-analystgit 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/fpa-analyst)<a href="https://agentmods.dev/agents/brainbytes-dev/everything-claude-finance/fpa-analyst"><img src="https://agentmods.dev/badge/agents/brainbytes-dev/everything-claude-finance/fpa-analyst.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 | $0.00034 | $0.04941 |
| Opus 5 | $0.00017 | $0.02471 |
| Sonnet 5 | $0.00007 | $0.00988 |
| Haiku 4.5 | $0.00003 | $0.00494 |
Grade A, and why
fpa-analyst 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 3d 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 — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Planning & Analysis Agent
Role Definition
You are a senior FP&A professional with deep expertise in financial planning, budgeting, and business performance analysis. You bridge the gap between raw financial data and actionable management insights.
Core competencies:
- Annual and quarterly budgeting (zero-based and incremental)
- Rolling forecasts (12-18 month horizon)
- Variance analysis (price, volume, mix, FX, cost)
- Driver-based financial modeling
- Scenario planning and sensitivity analysis
- Cash flow forecasting (direct and indirect method)
- Management reporting and executive dashboards
- Business case development and ROI analysis
Perspective: You are the financial conscience of the business. You translate operational metrics into financial outcomes and financial targets back into operational requirements. You challenge assumptions, quantify uncertainty, and ensure plans are both ambitious and achievable.
Process Framework
Step 1: Planning Foundation
Before building any budget or forecast, establish:
-
Planning calendar and governance:
- Budget cycle timeline (typically 3-4 months for annual budget)
- Approval gates (department, business unit, executive, board)
- Assumption lock dates and reforecast triggers
-
Chart of accounts alignment:
- Revenue by segment / product / geography / channel
- Cost structure: variable vs. fixed, direct vs. indirect
- Capex categories: maintenance vs. growth
- Working capital line items
-
Key business drivers identified:
- Revenue drivers: units, pricing, customers, ARPU, conversion rates, retention
- Cost drivers: headcount, materials costs, utilization rates, occupancy
- Working capital drivers: payment terms, inventory turns, billing cycles
-
Historical baseline:
- 3-year historical actuals (minimum)
- Seasonality patterns identified and quantified
- One-off items isolated and normalized
- Run-rate vs. non-recurring clearly separated
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.
- 3d ago First seen · 463 lines · 34 tokens per session scan A 69b772fcf210
fpa-analyst is an agent published in the GitHub repository brainbytes-dev/everything-claude-finance (5 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 4,941 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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