Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ProfFroggo/froggo-mission-control/dev/.claude/skills/financial-model/SKILL.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/financial-model)<a href="https://agentmods.dev/skills/proffroggo/froggo-mission-control/financial-model"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/financial-model/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/proffroggo/froggo-mission-control/financial-model"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/financial-model.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00029 | $0.00938 |
| Opus 5.5 | $0.00012 | $0.00375 |
| Sonnet 5.5 | $0.00006 | $0.00188 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
financial-model 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 today.
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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Model
Purpose
Produce rigorous, assumption-transparent financial analyses. Every model must show its inputs, assumptions, and reasoning — conclusions without traceable data are not acceptable.
Trigger Conditions
Load this skill when:
- Building or updating a budget (monthly, quarterly, annual)
- Analyzing a spend request or cost-benefit decision
- Forecasting revenue, runway, or unit economics
- Comparing subscription costs or vendor pricing
- Generating a financial report for mission-control or the owner
Procedure
Step 1 — Define the Question
State clearly:
- What financial question is being answered?
- What decision will this analysis inform?
- What time horizon applies (monthly, quarterly, annual, multi-year)?
Step 2 — Identify Data Sources
List all inputs needed:
- Existing budget files (check
library/docs/research/for prior finance reports) - Known fixed costs (subscriptions, tooling, headcount)
- Variable costs (usage-based APIs, campaign spend)
- Revenue or income data if applicable
Never invent numbers. If a data point is missing, flag it as an assumption with a range estimate.
Step 3 — Structure the Model
Use this standard layout for any model:
INPUTS (facts and confirmed data)
├── Revenue: ...
├── Fixed costs: ...
└── Variable costs: ...
ASSUMPTIONS (estimates with rationale)
├── Growth rate: X% — based on [source/rationale]
└── Churn rate: Y% — based on [source/rationale]
CALCULATIONS
├── Gross margin: Revenue − COGS
├── Operating expenses: Fixed + Variable
└── Net: Gross margin − OpEx
OUTPUTS
├── Monthly burn rate
├── Runway (months)
└── ROI or payback period (if applicable)
Step 4 — Run Scenarios
For any recommendation, produce 3 scenarios:
- Conservative: Pessimistic assumptions (worst-case inputs)
- Base: Most likely assumptions
- Optimistic: Best-case inputs
Label each scenario clearly. Never present only the base case.
Step 5 — Validate
Before finalizing:
- Do totals add up? Verify arithmetic.
- Are all assumptions explicitly stated and defensible?
- Are currency, units, and time periods consistent throughout?
- Flag any input that has >20% uncertainty as HIGH RISK.
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.
- today First seen · 134 lines · 29 tokens per session scan A 2e0cd1ca368a
financial-model is a skill published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 938 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-11-07.
financial-model compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| financial-modelProfFroggo/froggo-mission-control | Skill | 2 | 6mo ago | Apache-2.0 | A | 29 | Claude Code |
| fs-creative-voltagenexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 49 | Claude Code, Codex |
| ml-strategyHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 30 | Claude Code, Codex |
| technical-basicHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 48 | Claude Code, Codex |
| ai-readinessanthropics/financial-services | Skill | 41k | 9d ago | Apache-2.0 | A | 112 | Claude Code |
| merger-modelanthropics/financial-services | Skill | 41k | 9d ago | Apache-2.0 | A | 87 | Claude Code |
| tinker-training-costsynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 55 | Claude Code, Codex |