Claude Cookbooks is a collection of code examples and guides that show developers how to build applications with the Claude API. Users consult its notebooks and recipes to learn techniques such as classification and retrieval-augmented generation. The catalogue add-ons provide commands, skills, agents, hooks, settings, and instructions related to using these examples.
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/anthropics/claude-cookbooksnpx agentmods add agents/anthropics/claude-cookbooks/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/anthropics/claude-cookbooks/financial-analyst)<a href="https://agentmods.dev/agents/anthropics/claude-cookbooks/financial-analyst"><img src="https://agentmods.dev/badge/agents/anthropics/claude-cookbooks/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/anthropics/claude-cookbooks/financial-analyst"><img src="https://agentmods.dev/badge/agents/anthropics/claude-cookbooks/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.
Copies of this mod
3 near-identical copies found in the catalogue:
- financial-analyst — 100% identical, 0 lines differ
- financial-analyst — 100% identical, 0 lines differ
- financial-analyst — 100% identical, 0 lines differ
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 anthropics/claude-cookbooks (52,594 stars, last pushed 6d 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
financial-integrity-auditor
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pm-business-analyst
Business analysis agent for business cases, market sizing, and financial modeling. Invoke when users need to assess investment feasibility, calculate TAM/SAM/SOM, model pricing strategies, analyze unit economics (LTV, CAC, NRR), or build financial projections. Trigger keywords: business case, financial model, market…
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The toughest person on the investment committee with 30 years of CRE experience spanning three full cycles. Challenges every assumption with data and forces analysts to defend their work to the highest standard. Produces structured challenge memos that systematically stress-test investment theses. Deploy this agent…
deal-qc-reviewer
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