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在 OpenClaw 中安装
/install privacy-protector
功能描述
Runs PII anonymization, local de-anonymization, and deterministic local detector checks for text and supported files. Use for redact/restore flows, file-firs...
安全使用建议
This skill appears to do what it says: local `lite` mode runs offline, and other modes send text to a remote anonymization API. If you must keep data strictly local, use `--level lite` only. Before using `dynamic`/`strict`/`crossborder`, confirm you trust the default backend (https://safety-cf.modeio.ai) or explicitly set ANONYMIZE_API_URL to a trusted endpoint. Be aware that the tool writes map files (which include original values) to ~/.modeio/redact/maps by default — secure or relocate that directory if it will contain sensitive data. If you need higher assurance, review the remote API provider code (modeio_redact/providers/remote_api_provider.py) and test on non-sensitive examples first.
功能分析
Type: OpenClaw Skill
Name: privacy-protector
Version: 0.1.0
The privacy-protector skill bundle is a PII anonymization and de-anonymization utility that supports various file formats including .docx and .pdf. It features a local 'lite' mode using regex and a remote mode that communicates with a stated backend API (safety-cf.modeio.ai) for advanced processing. The implementation follows security best practices, such as enforcing strict filesystem permissions (0o600) on local mapping data stored in the user's home directory (~/.modeio/redact/maps). No evidence of malicious intent, unauthorized data exfiltration, or prompt injection was found in the code or instructions.
能力评估
Purpose & Capability
Name/description match the implementation: Python scripts and a reusable package implement anonymize, deanonymize, and local detection. Required binary is only python3 and there are no unrelated credentials or unexpected binaries requested.
Instruction Scope
SKILL.md and CLI scripts are scoped to anonymize/deanonymize/detect workflows and instruct running commands inside the repo. The README and SKILL.md explicitly state that only `lite` is fully local; other levels call a backend API. The instructions do not ask the agent to read system files outside the repo, but runtime will read/write local map files (default ~/.modeio/redact/maps).
Install Mechanism
No install spec is provided (instruction-only install); the repository includes Python code but nothing in the manifest downloads or executes remote installers. Runtime depends on optional Python packages (requests, python-docx, PyMuPDF) which the user must install themselves.
Credentials
The skill does not require secrets or credentials. However, non-`lite` anonymization levels will POST content to an external API by default (URL hardcoded as https://safety-cf.modeio.ai/api/cf/anonymize) and an environment variable (ANONYMIZE_API_URL) can override that endpoint. Maps containing original PII are written to a default local directory (~/ .modeio/redact/maps) unless overridden. Both behaviors are justified by the skill's purpose but increase data-exfiltration risk if you don't trust the backend or if ANONYMIZE_API_URL is set to an attacker-controlled host.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It persists local map files and sidecar files in a user-writable directory, which is expected behavior for restore/redact workflows.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install privacy-protector - 安装完成后，直接呼叫该 Skill 的名称或使用
/privacy-protector触发 - 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
v0.1.0
Initial release of privacy-protector.
- Adds local PII anonymization, de-anonymization, and local detector diagnostics for text and supported files.
- Supports redact/restore file workflows with allowlist, blocklist, and threshold configuration.
- Fully offline processing for the "lite" anonymization level; backend API support for other levels.
- Includes helpers for working with text, various file types, and saved placeholder maps.
- Provides documentation for usage patterns, supported commands, and runtime considerations.
元数据
常见问题
Privacy Protector 是什么？
Runs PII anonymization, local de-anonymization, and deterministic local detector checks for text and supported files. Use for redact/restore flows, file-firs... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 263 次。
如何安装 Privacy Protector？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install privacy-protector」即可一键安装，无需额外配置。
Privacy Protector 是免费的吗？
是的，Privacy Protector 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Privacy Protector 支持哪些平台？
Privacy Protector 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 Protector？
由 modeioai（@modeioai）开发并维护，当前版本 v0.1.0。
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