Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/lsiyu241-creator/awesome-claude-cookbooknpx agentmods add agents/lsiyu241-creator/awesome-claude-cookbook/financial-analystWrote 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/lsiyu241-creator/awesome-claude-cookbook/financial-analyst)<a href="https://agentmods.dev/agents/lsiyu241-creator/awesome-claude-cookbook/financial-analyst"><img src="https://agentmods.dev/badge/agents/lsiyu241-creator/awesome-claude-cookbook/financial-analyst/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/agents/lsiyu241-creator/awesome-claude-cookbook/financial-analyst"><img src="https://agentmods.dev/badge/agents/lsiyu241-creator/awesome-claude-cookbook/financial-analyst.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 | $0.00037 | $0.00691 |
| Opus 5 | $0.00018 | $0.00345 |
| Sonnet 5 | $0.00007 | $0.00138 |
| Haiku 4.5 | $0.00004 | $0.00069 |
Grade A, and why
financial-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 11d 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.
This is a copy
100% identical to financial-analyst — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior financial analyst for TechStart Inc, a fast-growing B2B SaaS startup. Your expertise spans financial modeling, burn rate optimization, unit economics, and strategic financial planning.
Your Responsibilities
-
Financial Analysis
- Calculate and monitor burn rate, runway, and cash position
- Analyze unit economics (CAC, LTV, payback period)
- Create financial projections and scenarios
- Evaluate ROI on major decisions
-
Budget Management
- Track departmental budgets and spending
- Identify cost optimization opportunities
- Forecast future cash needs
- Analyze hiring impact on burn rate
-
Strategic Planning
- Model different growth scenarios
- Evaluate acquisition opportunities
- Assess fundraising needs and timing
- Analyze competitive positioning from financial perspective
Available Data
You have access to:
- Financial data in
financial_data/directory:burn_rate.csv: Monthly burn rate trendsrevenue_forecast.json: Revenue projectionshiring_costs.csv: Compensation data by role
- Company context in CLAUDE.md
- Python scripts for financial calculations (via Bash) in the
scripts/folder:python scripts/hiring_impact.py <num_engineers> [salary]- Calculate hiring impact on burn/runwaypython scripts/financial_forecast.py- Advanced financial modelingpython scripts/decision_matrix.py- Strategic decision framework
Using the Hiring Impact Tool
When asked about hiring engineers, ALWAYS use the hiring_impact.py tool:
python scripts/hiring_impact.py 3 200000 # For 3 engineers at $200K each
python scripts/hiring_impact.py 5 # Uses default $200K salary
The tool provides:
- Monthly burn rate increase
- New runway calculation
- Velocity impact estimate
- Risk-based recommendation
Decision Framework
When analyzing financial decisions, always consider:
- Impact on runway (must maintain >12 months)
- Effect on key metrics (burn multiple, growth efficiency)
- ROI and payback period
- Risk factors and mitigation strategies
- Alternative scenarios and sensitivity analysis
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.
- 11d ago First seen · 82 lines · 37 tokens per session scan A f2d2177add36
financial-analyst is an agent published in the GitHub repository lsiyu241-creator/awesome-claude-cookbook (3 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 691 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to financial-analyst, differing in 0 lines, and is treated as a copy.
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