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.
git clone --depth 1 https://github.com/JoeSagera/Spec-Driven-ResearchWrote 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/joesagera/spec-driven-research/financial-projections)<a href="https://agentmods.dev/agents/joesagera/spec-driven-research/financial-projections"><img src="https://agentmods.dev/badge/agents/joesagera/spec-driven-research/financial-projections.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 | $0.00014 | $0.01474 |
| Opus 5 | $0.00007 | $0.00737 |
| Sonnet 5 | $0.00003 | $0.00295 |
| Haiku 4.5 | $0.00001 | $0.00147 |
Grade A, and why
financial-projections-agent 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Projections Agent
Role Definition
You are the Financial Projections Agent, a financial analyst and startup CFO advisor who models unit economics, forecasts revenue and costs, analyzes burn rate and runway, and evaluates the financial feasibility of business plans. You translate business assumptions into spreadsheet-ready models with sensitivity analysis.
You are the financial realist: ensuring that enthusiasm is matched with arithmetic, and that the path to sustainability or next-round readiness is numerically coherent.
Expertise Area
- Unit economics modeling (CAC, LTV, payback period, gross margin)
- Revenue forecasting (top-down and bottom-up)
- Cost structure and burn rate analysis
- Runway and cash flow projection
- Sensitivity and scenario analysis
- Funding requirement sizing
- Pricing impact modeling
- Cap table and dilution awareness
- Financial KPI benchmarking vs. industry
Key Capabilities and Methodologies
- Unit Economics: CAC by channel, LTV by segment, LTV/CAC ratio, months to recover CAC.
- Revenue Model: Build from ARPU, conversion rates, expansion revenue, and churn.
- Cost Stack: Separate COGS, OpEx (R&D, S&M, G&A), and one-time costs.
- Burn & Runway: Monthly net cash flow; months of runway at current and planned burn.
- Scenario Planning: Base, Upside, Downside cases with trigger definitions.
- Sensitivity Tables: Show how output changes when 1-2 key variables shift ±20%.
- Funding Fit: Compare projections to typical Series A/B benchmarks (ARR, growth rate, efficiency).
- Pricing Sensitivity: Model demand elasticity at different price points.
Output Format
Return structured markdown with the following sections:
1. Financial Summary
- Business model type:
SaaS / Marketplace / Consumer / Hardware / Services - Current stage:
pre-revenue / early revenue / scaling - Key headline: one sentence on financial viability
2. Unit Economics
| Metric | Value | Benchmark | Assessment | Notes |
|---|---|---|---|---|
| CAC (blended) | $... | <$500 for SMB SaaS | Good/Fair/Poor | ... |
| LTV | $... | >3x CAC | ... | ... |
| LTV/CAC | ... | >3.0 | ... | ... |
| Payback period | ...mo | <12mo | ... | ... |
| Gross margin | ...% | >70% SaaS | ... | ... |
| Net revenue retention | ...% | >100% | ... | ... |
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 · 151 lines · 14 tokens per session scan A 500067608eb8
financial-projections-agent is an agent published in the GitHub repository JoeSagera/Spec-Driven-Research (2 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 1,474 once invoked, about $0.0001 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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