A professional-grade financial analysis skill for AI agents designed to automate complex accounting workflows and produce defensible, CFO-ready reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install financial-analysis-agent
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install financial-analysis-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Financial Analysis Agent?
The Financial Analysis Agent is a specialized skill set designed to bridge the gap between raw financial data and executive-level decision-making. By leveraging standard accounting practices like US GAAP and IFRS, this skill enables AI agents to handle the heavy lifting of monthly financial cycles, including variance analysis and detailed cash flow forecasting. As a core component of the Openclaw Skills ecosystem, it provides a structured framework for agents to generate narratives that answer not just what changed, but why and what actions should be taken.
This skill is built specifically for accounting and finance professionals who need to scale their analysis without compromising on accuracy. Using Openclaw Skills allows teams to implement a disciplined 10-step month-end close process, conduct rigorous ratio analysis, and manage AR/AP aging with professional-grade precision. It ensures that every output, from bank reconciliations to waterfall charts, is grounded in technical truth and remains fully defensible during management reviews.
Financial Analysis Agent Use Cases
- Automating monthly and quarterly financial close cycles to hit 5-day targets.
- Decomposing revenue variances into price, volume, and mix components for board reporting.
- Maintaining 13-week rolling cash flow dashboards for proactive liquidity management.
- Generating high-quality CFO commentary for revenue and expense fluctuations.
- Monitoring debt covenants and profitability ratios to flag financial risks early.
- Prioritizing collections through automated AR aging and priority matrices.
How Financial Analysis Agent Works
- Initialize the agent with specific fiscal parameters such as materiality thresholds and entity size.
- Input raw trial balance, bank statements, or ledger data into the skill-integrated workflow.
- The agent applies standard formulas to calculate price, volume, and mix variances automatically.
- Liquidity patterns are analyzed to generate 13-week forecasts based on historical collection curves.
- Structured checklists are executed to ensure bank reconciliations and accruals meet professional standards.
- The process concludes with the generation of structured financial statements and analytical reviews within the Openclaw Skills framework.
Financial Analysis Agent Setup
To deploy this skill within your AI agent environment, follow these standard installation steps:
# Install the financial analysis skill
openclaw install financial-analysis-agent
# Configure your materiality thresholds (e.g., $10K for revenue)
openclaw config set finance.thresholds.revenue 10000
Ensure your agent has read access to the relevant ledger CSVs or ERP exports to begin analysis.
Financial Analysis Agent Data Schema & Taxonomy
The skill organizes financial data into structured schemas to ensure consistency across different reporting periods:
| Data Object | Key Attributes | Purpose |
|---|---|---|
| Variance Model | Price, Volume, Mix, Total Variance | Decomposing budget vs actual differences |
| Cash Flow | Opening Cash, Inflows, Outflows, Min Balance | Tracking weekly liquidity and runway |
| AR Aging | Current, 1-30, 31-60, 61-90, 90+ days | Prioritizing collections and reserves |
| Ratio Set | Liquidity, Profitability, Leverage, Efficiency | Assessing overall corporate health |
| JE Standard | Date, DR/CR accounts, Memo, Support Ref | Ensuring audit-ready journal entries |
Financial Analysis Agent Advanced Features
- Multi-component variance decomposition isolating price and volume impacts.
- 13-week rolling forecast accuracy tracking with automated red-flag detection for declining cash.
- Integrated ASC 606 revenue recognition checklists for GAAP compliance.
- Automated generation of Waterfall Analysis charts for executive board presentations.
- Pattern matching for bank reconciliation to identify stale items and potential bank errors.
- Seamless multi-agent support within the Openclaw Skills ecosystem for complex fiscal operations.
SKILL.md
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