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ivangdavila

Health Insurance

作者 Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ 安全检测通过
341
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0
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install health-insurance
功能描述
Compare health insurance plans, estimate total yearly costs, and choose coverage that fits medical usage, prescriptions, and financial risk.
使用说明 (SKILL.md)

Setup

On first use, read setup.md for integration guidelines and memory initialization.

When to Use

User needs help choosing, comparing, or renewing health insurance coverage. Agent evaluates medical usage patterns, estimates yearly costs across plan types, and recommends a plan strategy with clear trade-offs.

Architecture

Memory lives in ~/health-insurance/. See memory-template.md for structure.

~/health-insurance/
├── memory.md         # Status, profile, preferences, active decisions
├── comparisons/      # Plan comparisons and scenario snapshots
├── renewals/         # Renewal timelines and action logs
└── notes/            # Follow-up questions and pending documents

Quick Reference

Topic File
Setup process setup.md
Memory template memory-template.md
Coverage framework coverage-framework.md
Annual cost modeling cost-model.md
Comparison checklist comparison-checklist.md
Enrollment and renewal playbook enrollment-playbook.md

Core Rules

1. Lock Decision Context First

Before comparing plans, clarify:

  • Coverage target: individual, couple, or family
  • Source: employer plan, public marketplace, private broker, or government program
  • Geography and provider access requirements
  • Hard constraints: budget ceiling, medication continuity, renewal deadline

2. Build a Real Utilization Profile

Estimate expected care load before discussing premiums:

  • Routine care frequency (primary care, specialist, urgent care)
  • Ongoing prescriptions and refill cadence
  • Known procedures, therapies, or recurring diagnostics
  • Worst-case risk profile for unexpected events

3. Compare Plan Mechanics Before Price

Always evaluate these mechanics before deciding on monthly premium:

  • Network fit for current clinicians and facilities
  • Deductible, out-of-pocket max, and coinsurance structure
  • Copay design by care type (primary, specialist, urgent, emergency)
  • Referral and prior-authorization friction for expected treatments
  • Prescription formulary coverage for required medications

4. Model Yearly Cost With Scenarios

Use cost-model.md to calculate low, expected, and high-use annual totals. Include premium, deductible exposure, copays, coinsurance, and non-covered risk. Recommend using expected-cost and downside-risk together, not premium alone.

5. Protect Against Coverage Failure Modes

Run a risk check before final recommendation:

  • Out-of-network emergency and balance-billing exposure
  • Drug tier surprises and step-therapy limitations
  • Referral bottlenecks that delay care
  • High deductible plans that look cheap but shift excessive risk

6. Execute Enrollment With Evidence

Use enrollment-playbook.md to define exact actions, deadlines, and proof artifacts. Store plan IDs, effective dates, and support contacts for appeal or billing disputes. Never claim enrollment is complete without confirmation evidence.

7. Persist Data Only With Explicit Approval

Before writing to ~/health-insurance/memory.md, ask for explicit confirmation. Store only durable insurance context the user wants remembered for future decisions.

Common Traps

  • Choosing by monthly premium only -> hidden total annual cost becomes unaffordable.
  • Ignoring provider network fit -> forced provider changes and unexpected out-of-network bills.
  • Skipping formulary checks -> medication cost spikes after enrollment.
  • Assuming all PPO or HMO plans behave similarly -> referral and authorization surprises.
  • Treating deductible and out-of-pocket max as equivalent -> underestimating downside risk.
  • Missing enrollment deadlines -> delayed coverage or locked plan options.

External Endpoints

This skill makes NO external network requests.

Endpoint Data Sent Purpose
None None N/A

No data is sent externally.

Security & Privacy

Data that leaves your machine:

  • Nothing. This skill is instruction-only and local by default.

Data stored locally:

  • Insurance profile and comparison context explicitly approved by the user.
  • Stored in ~/health-insurance/memory.md.

This skill does NOT:

  • Access insurer or broker APIs automatically.
  • Submit enrollment forms or claims without user direction.
  • Read files outside ~/health-insurance/ for storage.
  • Write memory without explicit user confirmation.
  • Modify its own core instructions or auxiliary files.

Trust

This is an instruction-only skill focused on structured health insurance decisions. No credentials are required and no external service access is needed.

Related Skills

Install with clawhub install \x3Cslug> if user confirms:

  • health — health planning context that informs insurance priorities
  • doctor — provider interaction planning and visit preparation
  • compare — structured side-by-side decision frameworks
  • money — budgeting and cash-flow planning for premium and out-of-pocket costs

Feedback

  • If useful: clawhub star health-insurance
  • Stay updated: clawhub sync
安全使用建议
This skill is instruction-only and appears coherent, but consider these practical checks before enabling it: - Confirm you are comfortable letting the agent create ~/health-insurance/ and write memory.md; the skill promises to ask for explicit approval before writing. If you decline, it should not persist data. - Review the contents of any created files (memory.md, comparisons, notes) before storing sensitive data — the skill explicitly recommends not storing policy numbers, government IDs, or payment credentials. - The skill declares it makes no external network requests, but that relies on the agent runtime and policies. If you run agents that can access the network, ensure your environment/network controls match your privacy needs. - The setup uses simple shell commands (mkdir/touch/chmod). If you run an agent with capability to execute system commands, be aware those same privileges could write files elsewhere; rely on the agent platform's sandboxing and consent prompts. If these points are acceptable, the skill is coherent with its stated purpose and low-risk in isolation. If you need stricter guarantees, ask the developer for an explicit promise/logging of write actions or use the skill in a restricted environment.
功能分析
Type: OpenClaw Skill Name: health-insurance Version: 1.0.0 The skill bundle is classified as benign. The `SKILL.md` explicitly states that it makes no external network requests and does not exfiltrate data. While `setup.md` contains shell commands (`mkdir`, `touch`, `chmod`) for local file system operations, these are explicitly conditioned on the agent asking for and receiving 'explicit approval' from the user before execution. The commands themselves are for creating a dedicated local directory (`~/health-insurance/`) with restrictive permissions (`chmod 700`, `chmod 600`), which aligns with the skill's stated purpose of local memory management and demonstrates good security practices. No evidence of prompt injection, malicious execution, persistence, or obfuscation was found.
能力评估
Purpose & Capability
Name, description, and all provided files (setup, templates, checklists, cost model, playbook) align with a tool for comparing health plans and modeling annual costs. Requested filesystem locations (~/health-insurance/) are coherent for persisting user-approved decision memory.
Instruction Scope
Runtime instructions are limited to local operations: reading supplied docs, building a local memory folder, and running local checks. The skill explicitly states it makes no external network requests and requires explicit user approval before writing memory. Setup includes simple shell filesystem commands (mkdir, touch, chmod) which are appropriate for initializing local storage.
Install Mechanism
No install spec or code is provided — this is instruction-only which minimizes install-time risk and nothing is downloaded or executed from external sources by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths outside its declared local memory area. It also documents not storing sensitive identifiers or payment credentials.
Persistence & Privilege
always:false (no forced persistent inclusion). The only persistent behavior described is optional local memory creation under explicit user approval, with recommended restrictive file permissions (chmod 700/600). The skill does not claim to modify other skills or global agent settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install health-insurance
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /health-insurance 触发
  4. 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 with plan comparison workflows, annual cost modeling, enrollment timing guidance, and local memory for recurring insurance decisions.
元数据
Slug health-insurance
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Health Insurance 是什么?

Compare health insurance plans, estimate total yearly costs, and choose coverage that fits medical usage, prescriptions, and financial risk. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 341 次。

如何安装 Health Insurance?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install health-insurance」即可一键安装,无需额外配置。

Health Insurance 是免费的吗?

是的,Health Insurance 完全免费(开源免费),可自由下载、安装和使用。

Health Insurance 支持哪些平台?

Health Insurance 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Health Insurance?

由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。

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