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 skills/hoavdc/codexkit/codexkit-fpa-scenario-modelingnpx skills add hoavdc/CodexKit --skill codexkit-fpa-scenario-modelinggit clone --depth 1 https://github.com/hoavdc/CodexKitWrote 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/hoavdc/codexkit/codexkit-fpa-scenario-modeling)<a href="https://agentmods.dev/skills/hoavdc/codexkit/codexkit-fpa-scenario-modeling"><img src="https://agentmods.dev/badge/skills/hoavdc/codexkit/codexkit-fpa-scenario-modeling.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 | $0.00098 | $0.00987 |
| Opus 5 | $0.00049 | $0.00494 |
| Sonnet 5 | $0.00020 | $0.00197 |
| Haiku 4.5 | $0.00010 | $0.00099 |
Grade A, and why
codexkit-fpa-scenario-modeling 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FP&A Scenario Modeling
Purpose
Transform business assumptions into a structured 3-scenario financial model that gives leadership a clear view of upside, baseline, and downside outcomes.
When to use
- annual or quarterly business planning cycle
- before a major investment decision (new product, M&A, expansion)
- when the CFO asks "what if revenue drops 20%?"
- presenting financial impact range to the board
When not to use
- statutory financial reporting (IFRS/GAAP compliance)
- audit-ready financial statements
- daily operational cost tracking
Inputs
- business model type (SaaS, retail, manufacturing, services)
- historical financials (last 2–3 years if available)
- key revenue drivers (pricing, volume, churn, expansion)
- key cost drivers (headcount, COGS, marketing spend, capex)
- specific decision context (what are we modeling?)
- time horizon (12 months, 3 years, 5 years)
Procedure
- Define 3 scenarios:
- Base Case: most likely outcome based on current trajectory
- Bull Case: upside scenario (best 30% of outcomes)
- Bear Case: downside/stress scenario (worst 20% of outcomes)
- Identify key variables to sensitize:
- Revenue-side: growth rate, gross margin, CAC, churn rate, ASP
- Cost-side: fixed cost base, variable cost as % revenue, capex, working capital (DSO, DPO, DIO)
- Build scenario assumption table — side-by-side comparison of all variables across 3 scenarios.
- Calculate P&L summary per scenario: Revenue → Gross Profit → EBITDA → Net Profit.
- Build cash flow bridge per scenario: Operating CF → Investing CF → Financing CF → Free CF.
- Calculate key metrics per scenario: EBITDA margin, ROI, Payback Period, Break-even point.
- Create sensitivity table — identify which single variable has the largest impact on outcome.
- Write executive narrative — "Under the base case, the business generates…" with clear decision implications.
Output
- scenario assumption table (side-by-side, 3 columns)
- P&L summary per scenario (Revenue → EBITDA → Net Profit)
- cash flow bridge per scenario
- key metrics comparison table
- sensitivity analysis (which variable moves the needle most)
- executive narrative (1–2 paragraphs per scenario)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 99 lines · 98 tokens per session scan A bbe2d636b138
codexkit-fpa-scenario-modeling is a skill published in the GitHub repository hoavdc/CodexKit (21 stars, last pushed 3mo ago), licensed MIT. It adds 98 tokens to every session and 987 once invoked, about $0.0005 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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