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在 OpenClaw 中安装
/install expense-categorization-optimizer
功能描述
Provides structured guidance, templates, and recommendations to optimize expense categorization for improved financial tracking and planning.
使用说明 (SKILL.md)
Expense Categorization Optimizer
Overview
Optimizes expense categorization rules and suggests improvements for better financial tracking. This is a descriptive skill that provides templates, frameworks, and heuristic analysis without executing real code, accessing external APIs, or performing actual financial transactions.
Trigger
Use this skill when the user wants to:
- get structured guidance on expense categorization optimizer
- apply best-practice frameworks to their financial situation
- generate templates and checklists for financial planning
Example prompts
- "Help me create a personal budget"
- "Analyze my cash flow forecast"
- "Check my expense categorization"
- "Assess my financial health"
- "Review my receivables aging"
- "Check invoice compliance"
- "Develop a pricing strategy"
- "Find cost reduction opportunities"
- "Optimize my tax deductions"
- "Interpret my financial reports"
Workflow
- User provides context and goals.
- Skill applies built-in templates and frameworks.
- Skill generates structured output with recommendations.
- User receives actionable insights and next steps.
Inputs
- User context (financial situation, goals, constraints)
- Optional data inputs (amounts, categories, timeframes)
- Analysis preferences
Outputs
- Structured analysis report
- Templates and frameworks
- Actionable recommendations
- Next steps checklist
Safety
- No real financial transactions or API calls
- No access to real bank accounts or financial systems
- Recommendations are informational only
- Users should consult financial professionals for actual decisions
Acceptance Criteria
- Must return structured markdown/JSON output
- Must include actionable recommendations
- Must clearly state the descriptive/non-executable nature
- Must provide templates or frameworks for user adaptation
安全使用建议
This skill appears coherent and low-risk, but note: it will execute locally (handler.py) when invoked, so do not paste sensitive credentials or full bank statements into prompts. Because the source and homepage are unknown, you may want to: (1) review the included handler.py yourself (it is short and readable), (2) run the provided tests in a sandbox/isolated environment before using with real data, (3) avoid sending personally identifiable information or raw account numbers to the skill, and (4) prefer skills from known authors or with a published homepage if you need stronger provenance guarantees. If you plan to act on financial recommendations, consult a qualified financial professional.
能力评估
Purpose & Capability
The name/description (expense categorization guidance) aligns with what the skill contains: an input parser, a local generator for recommendations/templates, and tests. There are no unrelated requirements such as cloud credentials or system-level access.
Instruction Scope
SKILL.md instructs the agent to accept user context and produce descriptive outputs only. The handler.py implementation follows that scope: it only parses the provided input string and returns structured JSON. There are no instructions to read files, environment variables, or send data externally.
Install Mechanism
No install spec is provided (instruction-only installation), and the included Python code is small and self-contained. Nothing is downloaded or extracted from remote URLs; therefore installation risk is low.
Credentials
The skill declares no required environment variables, credentials, or config paths and its code does not access os.environ or external secrets. The requested access is proportional to a descriptive finance helper.
Persistence & Privilege
always is false and the skill does not request persistent or system-wide changes. The skill does not modify other skills' configs or require persistent presence.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install expense-categorization-optimizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/expense-categorization-optimizer触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of Expense Categorization Optimizer.
- Provides structured guidance and best-practice frameworks for optimizing expense categorization.
- Offers templates, checklists, and heuristic analysis for better financial tracking.
- Delivers actionable recommendations based on user input while ensuring all outputs are descriptive and non-executable.
- Safeguards user privacy by not performing real transactions or accessing actual financial data.
元数据
常见问题
Expense Categorization Optimizer 是什么？
Provides structured guidance, templates, and recommendations to optimize expense categorization for improved financial tracking and planning. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 113 次。
如何安装 Expense Categorization Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install expense-categorization-optimizer」即可一键安装，无需额外配置。
Expense Categorization Optimizer 是免费的吗？
是的，Expense Categorization Optimizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Expense Categorization Optimizer 支持哪些平台？
Expense Categorization Optimizer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Expense Categorization Optimizer？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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