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在 OpenClaw 中安装
/install real-estate-debt-analysis-skill
功能描述
专业房产债权分析技能，对比安居客中介价格与阿里法拍成交价格，提供投资决策支持
安全使用建议
This skill appears to be what it says: a local analysis/reporting tool using built-in heuristics and an optional local price_config.json. Before installing or using it: (1) Verify where reports and any exported data will be sent if you set REPORT_GENERATOR_SERVICE / DATA_PROCESSING_SERVICE / WEB_SEARCH_SERVICE — don't point these to untrusted endpoints. (2) Note that the script simulates/derives prices from defaults and a local config rather than scraping live sites; confirm data freshness and supply an up-to-date price_config.json if you need accurate local pricing. (3) The manifest references an example config file that's not bundled; if you rely on that file, create and inspect it locally. (4) Test the skill with non-sensitive/sample data first and, for any investment decisions, corroborate outputs with primary sources and legal/financial advisors.
功能分析
Type: OpenClaw Skill
Name: real-estate-debt-analysis-skill
Version: v1.1.0
The skill bundle is a legitimate tool for real estate debt analysis, comparing property prices across different platforms. The Python script (real_estate_analysis.py) implements data processing logic, risk assessment, and investment scoring using hardcoded datasets and simulated calculations rather than performing actual external web scraping. There is no evidence of data exfiltration, malicious command execution, or harmful prompt injection; the use of environment variables for service configuration (e.g., REPORT_GENERATOR_SERVICE) is consistent with the stated architectural design.
能力评估
Purpose & Capability
Name and description (compare Anjuke vs Alibaba auction prices for debt-investment decisions) align with the included script and SKILL.md. The script implements address-based price heuristics, liquidity/investment scoring, and report output — all consistent with the stated analysis/reporting purpose.
Instruction Scope
SKILL.md says the skill will 'use network search capability' and integrate with report-generation/data-processing services supplied by the Agent ecosystem, but the included Python script primarily derives prices from built-in defaults and an optional local price_config.json rather than performing direct web scraping. The doc references example config file scripts/price_config.json.example which is not present in the manifest — this is a mismatch to be aware of. Instructions also mention optional environment variables for external services (REPORT_GENERATOR_SERVICE, DATA_PROCESSING_SERVICE, WEB_SEARCH_SERVICE) but none are required; the agent or operator must explicitly provide them for external integration.
Install Mechanism
No install spec and no remote downloads; this is an instruction/script-only skill with a local Python script. No external installers or archive extraction are declared, so nothing else is written to disk by an installer.
Credentials
The skill declares no required environment variables or credentials (proportional). SKILL.md lists optional env vars for integrating external services; these are not required but, if set, could cause the agent to send data to those endpoints. There are no requests for unrelated cloud or secret credentials.
Persistence & Privilege
The skill does not request always:true and uses normal invocation. It executes a local script and may read a local price_config.json and write generated reports; it does not modify other skills or system-wide agent settings.
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 real-estate-debt-analysis-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/real-estate-debt-analysis-skill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
vv1.1.0
real-estate-debt-analysis-skill v1.1.0
- Added a comprehensive SKILL.md describing features, usage scenarios, input/output formats, integration triggers, and key analysis logic.
- Detailed data sources, analytic indicators, investment suggestion rules, and risk assessment criteria included for enhanced transparency.
- Documented multi-modal input support (Excel, text, images, audio, multi-modal data) and corresponding parametric formats.
- Described extensibility, configuration, skill limitations, and best practices for practical application.
- Enumerated main and contextual trigger keywords for wider compatibility with related agent ecosystems.
元数据
常见问题
Real Estate Debt Analysis 是什么？
专业房产债权分析技能，对比安居客中介价格与阿里法拍成交价格，提供投资决策支持. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 366 次。
如何安装 Real Estate Debt Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install real-estate-debt-analysis-skill」即可一键安装，无需额外配置。
Real Estate Debt Analysis 是免费的吗？
是的，Real Estate Debt Analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Real Estate Debt Analysis 支持哪些平台？
Real Estate Debt Analysis 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 Real Estate Debt Analysis？
由 yejinlei（@yejinlei）开发并维护，当前版本 vv1.1.0。
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