← Back to Skills Marketplace
366
Downloads
1
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install real-estate-debt-analysis-skill
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install real-estate-debt-analysis-skill - After installation, invoke the skill by name or use
/real-estate-debt-analysis-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Real Estate Debt Analysis?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 366 downloads so far.
How do I install Real Estate Debt Analysis?
Run "/install real-estate-debt-analysis-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Real Estate Debt Analysis free?
Yes, Real Estate Debt Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Real Estate Debt Analysis support?
Real Estate Debt Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Real Estate Debt Analysis?
It is built and maintained by yejinlei (@yejinlei); the current version is vv1.1.0.
More Skills