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Age Verification

作者 raghulpasupathi · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
565
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0
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1
当前安装
1
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在 OpenClaw 中安装
/install age-verification
功能描述
Verify user age via ID, face estimation, or third-party services to enforce age restrictions and enable parental controls.
使用说明 (SKILL.md)

Age Verification Skills

Skills for age verification and age-appropriate content filtering.

Essential Skills

1. Age Guard

Skill ID: age-guard

Purpose: Verify user age and enforce age restrictions

Features:

  • Document verification (ID, passport)
  • Face-based age estimation
  • Third-party verification (Yoti, Jumio)
  • Age gate UI components
  • Parental consent workflows

Installation:

npm install @clawhub/age-guard

Methods:

  1. Self-reported: Honor system (basic)
  2. Document verification: ID scanning
  3. Face estimation: Computer vision
  4. Third-party: Yoti, Jumio APIs
  5. Parental PIN: For children

Use Cases:

  • COPPA compliance (children \x3C 13)
  • Age-restricted content
  • Parental control enforcement

For geo-blocking, see GEO_BLOCKING.md.

安全使用建议
Do not install or run this skill blindly. Before using it, ask the publisher for: the source repository or npm package homepage for @clawhub/age-guard; a clear list of required API keys and how they are stored/used; privacy and retention policies for uploaded IDs and face images; whether image processing is local or sent to third-party services; and any compliance details (COPPA, GDPR). If you must evaluate it, inspect the @clawhub/age-guard package source code and its npm metadata, run it in an isolated environment, and never provide production API keys or real PII until you confirm secure handling and a trustworthy maintainer. The missing GEO_BLOCKING.md reference and absent auth declarations are red flags that should be resolved first.
功能分析
Type: OpenClaw Skill Name: age-verification Version: 1.0.0 The skill bundle describes an 'Age Verification' skill with standard features and use cases. The `SKILL.md` file provides clear documentation and a standard `npm install` command for installation. There is no evidence of prompt injection, data exfiltration, malicious execution, persistence, or obfuscation within the provided files. The installation instruction for `@clawhub/age-guard` is a legitimate step for its stated purpose, and without further information on the package itself, it is considered benign.
能力评估
Purpose & Capability
The SKILL.md describes document scanning, face-based age estimation, and integrations with Yoti/Jumio — features that normally require camera/file access and API credentials. Yet the skill metadata declares no required environment variables, no config paths, and no install spec. That inconsistency suggests either missing declarations or under-specified behavior.
Instruction Scope
Runtime instructions tell the operator to 'npm install @clawhub/age-guard' and list workflows (ID scanning, face estimation, third-party APIs) but give no guidance on where sensitive images/IDs are stored, where data is sent, how to supply API keys, or how to obtain user consent. The SKILL.md also references GEO_BLOCKING.md which is not present. This leaves broad discretion and potential for inadvertent PII exfiltration.
Install Mechanism
There is no formal install spec in the registry entry, but the instructions instruct installing an npm package (@clawhub/age-guard). Installing an external npm package is a moderate-risk action (downloads third-party code). The lack of a pinned source URL or repository and no code review increases risk.
Credentials
The skill lists integrations with Yoti and Jumio (which require API keys) but the manifest declares zero required env vars or primary credential. That mismatch is disproportionate: age verification features typically require one or more secrets/credentials and explicit permissions for camera/file access.
Persistence & Privilege
The skill does not request always:true and declares no config paths or persistent privileges, which is appropriate. However, it implicitly requires access to cameras, uploaded ID images, or other sensitive device capabilities that are not declared or gated in the instructions.
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 age-verification
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /age-verification 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 of age-verification skills. - Introduces Age Guard for user age verification and restriction enforcement. - Supports document and face-based age checks, third-party integrations (Yoti, Jumio), and parental consent workflows. - Provides age gate UI components and multiple verification methods. - Enables compliance with regulations like COPPA and enforces age-appropriate access.
元数据
Slug age-verification
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

Age Verification 是什么?

Verify user age via ID, face estimation, or third-party services to enforce age restrictions and enable parental controls. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 565 次。

如何安装 Age Verification?

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

Age Verification 是免费的吗?

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

Age Verification 支持哪些平台?

Age Verification 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 Age Verification?

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

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