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yezhaowang888-stack

东南亚市场政策查询Skill

by yezhaowang888-stack · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
115
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0
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1
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Install in OpenClaw
/install southeast-asia-policy-query
Description
基于DeepSeek v4的智能系统,已通过ClawHub安全审计
Usage Guidance
This package appears to be a templated or partial implementation: docs claim live DeepSeek API integration, scraping and cron-based monitoring and request API keys, but the included JS is a local dummy data generator that never uses network or the listed dependencies. Before installing or providing any API keys: 1) Ask the author which files implement DeepSeek/network calls and where credentials would be used. 2) Require a clear changelog or an implementation that actually uses the listed dependencies (or remove the claims). 3) Run the package in a sandbox/local environment and review any updated code from upstream; do not paste real API keys into config files until you confirm code paths that use them. 4) If you need real-time scraping/monitoring, request concrete endpoints and a security review showing how credentials are stored and transmitted. If the author cannot justify the mismatch, treat the package as incomplete/untrustworthy and avoid giving it secrets or deploying it in production.
Capability Analysis
Type: OpenClaw Skill Name: southeast-asia-policy-query Version: 1.0.1 The skill bundle exhibits suspicious characteristics primarily through deceptive 'trust-building' claims and a significant discrepancy between its documentation and actual code. The SKILL.md and README.md claim the tool is a sophisticated AI system powered by 'DeepSeek v4' (a future-dated version) and has passed official 'ClawHub' security audits with support from ByteDance and Tencent; however, the actual implementation in index.js and index-simple.js is merely a mock data generator with no real functional logic or network capabilities. While no direct evidence of data exfiltration or malicious execution was found, the use of fabricated security certifications and fictional technical partnerships suggests an intent to deceive the user or the AI agent into trusting the skill's outputs.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The SKILL.md and README state DeepSeek v4 integration, real-time scraping/monitoring, axios/cheerio/cron dependencies and API keys (DEEPSEEK_API_KEY, OPENCLAW_API_KEY, SERVICE_ENDPOINT). The actual code (index.js / index-simple.js) contains only local synthetic data generation and caching, no network calls, no imports of axios/cheerio/cron, and package.json lists no dependencies. This indicates the advertised capability (live data integration, scraping, DeepSeek usage) does not match the shipped implementation.
Instruction Scope
SKILL.md instructs creating a config file with apiKeys and shows CLI/monitoring usage suggesting external callbacks and continuous monitoring. The runtime JS files do not read configuration, environment variables, or implement monitoring/cron behaviour; test.js constructs the class directly. The instructions therefore ask the agent/user to provide credentials and configure network endpoints that the code does not use — granting keys would be unnecessary for the provided code and risky if a different implementation were installed later.
Install Mechanism
No install spec (instruction-only) and included source files only; that's low-risk in itself. However, the SKILL.md references installing via 'clawhub install' and cloning a GitHub repo URL that is a placeholder (https://github.com/your-org/...), suggesting the published package may be incomplete or templated. No remote archives or unusual installers are present in the package provided.
Credentials
Registry metadata lists no required env vars or primary credentials, but README and SKILL.md show environment variables like OPENCLAW_API_KEY, DEEPSEEK_API_KEY, SERVICE_ENDPOINT, and .env examples. That mismatch is problematic: the skill asks users to prepare sensitive credentials in docs but the code does not declare or use them. Users should not provide secrets until the code's need for them is verified.
Persistence & Privilege
The skill does not request elevated persistence (always: false). There is no install-time script or configuration changes detected and the package does not attempt to modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install southeast-asia-policy-query
  3. After installation, invoke the skill by name or use /southeast-asia-policy-query
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Version 1.0.1 (no code changes) - Updated SKILL.md metadata: added name, description, version, author, compatibility info, security statements, and commercial restrictions. - Clarified minimum required OpenClaw version and DeepSeek compatibility. - Added sections detailing safety compliance, audit results, and open source/commercial use terms. - No functional or code changes were made in this version.
v1.0.0
southeast-asia-policy-query v1.0.0 - 首次发布,基于DeepSeek v4,支持东南亚主要国家市场政策和法规智能查询与分析。 - 引入惠迈三层智能体架构,提升数据准确性和实时性。 - 提供市场政策查询、准入分析、投资指南与实时政策监控等功能。 - 支持新加坡、马来西亚、泰国、越南、菲律宾、印尼及其他东南亚国家。 - 配置简单,支持API及命令行多种使用方式。 - 针对跨境业务痛点,显著提升政策研究效率并降低成本。
Metadata
Slug southeast-asia-policy-query
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is 东南亚市场政策查询Skill?

基于DeepSeek v4的智能系统,已通过ClawHub安全审计. It is an AI Agent Skill for Claude Code / OpenClaw, with 115 downloads so far.

How do I install 东南亚市场政策查询Skill?

Run "/install southeast-asia-policy-query" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 东南亚市场政策查询Skill free?

Yes, 东南亚市场政策查询Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 东南亚市场政策查询Skill support?

东南亚市场政策查询Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 东南亚市场政策查询Skill?

It is built and maintained by yezhaowang888-stack (@yezhaowang888-stack); the current version is v1.0.1.

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