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Privacy Shield

作者 xiaobu2020 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
177
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当前安装
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版本数
在 OpenClaw 中安装
/install privacy-shield
功能描述
Manages sensitive data access by marking resources with privacy levels and enforcing share, export, and usage restrictions based on a centralized registry.
安全使用建议
This skill appears to do what it says: a local privacy registry and CLI that checks and logs decisions. Before installing or invoking it, consider: (1) it will read/write data/privacy-registry.json and data/privacy-audit.jsonl in the agent workspace (or the directory implied by WORKSPACE) — review and set appropriate file permissions; (2) confirm you are comfortable allowing the agent to execute the included Python script (it runs locally and does not contact external endpoints); (3) review registry contents and audit logs for sensitive items before sharing them with other tools or people; (4) if you set WORKSPACE, ensure it points to the intended workspace so the registry/audit files land where you expect. No credentials or network calls were found in the code.
功能分析
Type: OpenClaw Skill Name: privacy-shield Version: 1.0.1 The 'Privacy Shield' skill is a legitimate utility designed to help an AI agent manage sensitive data through a local registry and audit system. The Python script `scripts/registry.py` implements standard file-based CRUD operations for privacy rules and includes a permission-checking mechanism without any evidence of data exfiltration, remote execution, or malicious prompt injection.
能力评估
Purpose & Capability
Name/description (privacy marking, enforcement, and audit) matches the included CLI script and SKILL.md instructions. No unrelated environment variables, binaries, or external services are required.
Instruction Scope
SKILL.md instructs agents to run the included script before any data-output operation; the script reads/writes local files (data/privacy-registry.json and data/privacy-audit.jsonl) under the WORKSPACE (or repo-root) — this is expected for the stated purpose but means the agent will access and modify workspace files and create audit logs.
Install Mechanism
No install spec or external downloads are present; the skill is instruction-only with a bundled Python script. No network installs or archive extraction are used.
Credentials
The skill does not require credentials or extra environment variables. It optionally respects WORKSPACE to locate registry/audit files, which is reasonable for a local file-based tool.
Persistence & Privilege
always is false and the skill does not request persistent platform privileges. It will read/write its own registry and audit files only; nothing in the code modifies other skills or system-wide 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 privacy-shield
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /privacy-shield 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
v1.0.1
SKILL.md rewritten in English; added audit --deny-only, glob support, image-manager integration
v1.0.0
Initial release: privacy marking system with glob support, audit logging, and image-manager integration
元数据
Slug privacy-shield
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Privacy Shield 是什么?

Manages sensitive data access by marking resources with privacy levels and enforcing share, export, and usage restrictions based on a centralized registry. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 177 次。

如何安装 Privacy Shield?

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

Privacy Shield 是免费的吗?

是的,Privacy Shield 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Privacy Shield 支持哪些平台?

Privacy Shield 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 Privacy Shield?

由 xiaobu2020(@xiaobu2020)开发并维护,当前版本 v1.0.1。

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