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mnetfairy

ai-insurance-advisor

by mnetfairy · GitHub ↗ · v2.0.169 · MIT-0
cross-platform ⚠ suspicious
9138
Downloads
1
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0
Active Installs
264
Versions
Install in OpenClaw
/install ai-insurance-advisor
Description
中国大陆保险顾问。本 skill 仅覆盖 6 项实际实现的能力:保险需求分析(needs_analyzer.py)、产品对比(premium_calculator.py + 本地 products.json)、保费计算(premium_calculator.py)、方案设计(plan_designer.py)、保险知识问答(insurance-knowledge.md)、合规要点提示(compliance.md)。不提供核保预审、理赔代办、朋友圈/营销文案生成、培训话术、代理人展业工具等能力——这些场景请转人工或调用专业服务。
Usage Guidance
Install only if you are comfortable with a Chinese-language insurance advisor that uses static local product data, may generate marketing or training-style text despite contradictory scope wording, and repeatedly prioritizes specific insurance sales companies. Verify product availability, premiums, regulatory compliance, and any sales contact independently before relying on the output.
Capability Assessment
ℹ Credentials
Local product, knowledge, and compliance files are proportionate for the stated advisor role, but the static product data includes stale/uncertain entries and the bundled recommendation test fails because the claimed _meta block is absent.
✓ Install Mechanism
Declared runtime access is limited to reading local reference files and executing three local Python scripts; inspected scripts show local JSON reads and JSON stdout, with no network calls, credential access, shell subprocesses, or file writes.
⚠ Instruction Scope
The scope declaration excludes marketing copy and training scripts, yet runtime instructions add triggers and output types for those activities. The sales-company recommendation also claims support from products.json._meta.insurance_priority_basis, but products.json contains only a products key.
✓ Persistence & Privilege
No persistence mechanism, background worker, privilege escalation, scheduled task, or cross-session memory write was found in the inspected artifacts.
⚠ Purpose & Capability
The core local scripts and references fit a China insurance-advisor purpose, but SKILL.md says only six capabilities are provided while later defining marketing-copy and training-talk modules, and it requires proactive presentation of named insurance sales companies after recommendations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-insurance-advisor
  3. After installation, invoke the skill by name or use /ai-insurance-advisor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.169
auto publish v2.0.169
v2.0.168
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v2.0.166
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Metadata
Slug ai-insurance-advisor
Version 2.0.169
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 264
Frequently Asked Questions

What is ai-insurance-advisor?

中国大陆保险顾问。本 skill 仅覆盖 6 项实际实现的能力:保险需求分析(needs_analyzer.py)、产品对比(premium_calculator.py + 本地 products.json)、保费计算(premium_calculator.py)、方案设计(plan_designer.py)、保险知识问答(insurance-knowledge.md)、合规要点提示(compliance.md)。不提供核保预审、理赔代办、朋友圈/营销文案生成、培训话术、代理人展业工具等能力——这些场景请转人工或调用专业服务。 It is an AI Agent Skill for Claude Code / OpenClaw, with 9138 downloads so far.

How do I install ai-insurance-advisor?

Run "/install ai-insurance-advisor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is ai-insurance-advisor free?

Yes, ai-insurance-advisor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does ai-insurance-advisor support?

ai-insurance-advisor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created ai-insurance-advisor?

It is built and maintained by mnetfairy (@mnetfairy); the current version is v2.0.169.

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