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 skills add ailabs-393/ai-labs-claude-skills --skill finance-managergit clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skillsWrote 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/ailabs-393/ai-labs-claude-skills/finance-manager)<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/finance-manager"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/finance-manager/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/ailabs-393/ai-labs-claude-skills/finance-manager"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/finance-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00123 | $0.01548 |
| Opus 5 | $0.00062 | $0.00774 |
| Sonnet 5 | $0.00025 | $0.00310 |
| Haiku 4.5 | $0.00012 | $0.00155 |
Grade A, and why
finance-manager 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 12d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finance Manager
A comprehensive toolkit for personal finance management that processes transaction data, performs sophisticated financial analysis, generates actionable insights, and creates beautiful visual reports.
Core Capabilities
- Transaction Data Processing: Extract financial data from PDFs, CSVs, or JSON files
- Financial Analysis: Calculate key metrics, identify spending patterns, and track savings
- Visualization: Generate interactive HTML reports with charts and graphs
- Budget Recommendations: Provide personalized, actionable advice based on spending patterns
- Trend Analysis: Identify spending patterns, anomalies, and opportunities for optimization
Workflow
1. Data Extraction and Preparation
For PDF files:
python scripts/extract_pdf_data.py <input.pdf> <output.csv>
For CSV/JSON files:
- Ensure data has columns:
Date,Description,Income(category),Type,Amount - Date format: YYYY-MM-DD or parseable date string
- Amount: Positive for income, negative for expenses
2. Financial Analysis
Run comprehensive analysis on transaction data:
python scripts/analyze_finances.py <transactions.csv> > analysis_output.json
Output includes:
- Summary statistics (total income, expenses, net savings, savings rate)
- Spending trends (daily averages, top expenses, category percentages)
- Budget recommendations (personalized based on spending patterns)
- Visualization data (prepared for charting)
3. Report Generation
Create interactive HTML report with visualizations:
python scripts/generate_report.py <analysis_output.json> <report.html>
Report features:
- Summary dashboard with key metrics
- Interactive pie chart showing spending by category
- Bar chart comparing income vs expenses over time
- Color-coded indicators (green for positive, red for negative)
- Personalized recommendations section
- Responsive design for all devices
4. Complete Workflow Example
What ships with it
9 files 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.
- 12d ago First seen · 235 lines · 123 tokens per session scan A 30c41d88e1b7
finance-manager is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (445 stars, last pushed 10mo ago), licensed MIT. It adds 123 tokens to every session and 1,548 once invoked, about $0.0006 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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