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tykoo-eth

Privacy Eraser

by tykoo-eth · GitHub ↗ · v0.2.0 · MIT-0
cross-platform ⚠ suspicious
368
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0
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0
Active Installs
3
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Install in OpenClaw
/install privacy-eraser
Description
扫描网络个人信息,提供删除方案和投诉模板,支持自动举报和定期隐私监控,助力数字身份保护。
Usage Guidance
Before installing or enabling this skill, consider the following: - It can control a user's logged‑in browser on a Mac node and submit reports on your behalf. Only allow this if you fully trust the environment and understand which node/profile will be used. - The runtime expects to read a local USER.md and write screenshots/cases/ files — verify where these files live and that you consent to storing identity material. Remove or redact highly sensitive docs (ID photos) unless strictly necessary. - The skill creates cron jobs for periodic scans. Ask for an option to run in 'guidance only' mode (no automated submissions) and for explicit, per‑action confirmation before any automated browser action or private messaging. - If you need automation, require a least‑privilege approach: limit node/browser access to a disposable/test profile, require interactive consent for each report, and provide an easy way to list/remove scheduled jobs and stored artifacts. - If you cannot confirm where USER.md comes from or cannot audit the node/browser sessions it will use, treat this skill as high‑risk and prefer manual guidance/templates only. - Consider testing the skill in a non‑automated mode first and review all generated complaint content and actions before allowing it to submit anything.
Capability Analysis
Type: OpenClaw Skill Name: privacy-eraser Version: 0.2.0 The 'privacy-eraser' skill bundle (v0.2.0) is designed to automate the removal of personal information from various online platforms. While the stated intent is protective, it is classified as suspicious due to high-risk operational patterns: it requires access to sensitive PII in 'USER.md' and utilizes remote browser control ('browser target=node') to execute automated actions within the user's authenticated web sessions on a Mac node. The documentation in 'SKILL.md' explicitly highlights that the AI can perform these actions 'without user awareness' because the browser is already logged in, which presents a significant risk of session abuse or unauthorized actions if the agent's instructions are subverted. It also implements persistence via a 'cron' monitoring task.
Capability Assessment
Purpose & Capability
The skill's capabilities (scanning, generating complaint templates, automating platform reports) align with its description. However, it relies on controlling a user's Mac browser/node and reading a local USER.md for identity without declaring these as required config paths or credentials. Those are reasonable technically for automatic submission, but the skill metadata does not advertise or require the sensitive resources it uses.
Instruction Scope
SKILL.md instructs the agent to: run nodes action=status, select a Mac node, use browser automation to navigate and click/report on third‑party sites, execute JS on pages, send private messages to platform support, take screenshots and write them to cases/, and create cron jobs for periodic scans. It also instructs reading USER.md to obtain identity. These actions reach outside a narrow 'advice/template' scope and operate on user accounts, local files, and scheduled tasks — all sensitive and potentially risky if done without explicit user confirmation.
Install Mechanism
Instruction-only (no install spec, no code files executed by installer). This is the lowest install risk: nothing is downloaded or installed automatically by the skill itself.
Credentials
The skill declares no env vars or credentials, yet expects access to user browser sessions (logged-in accounts on a Mac node) and to read/write local files (USER.md, cases/). Using logged‑in browser profiles to act on the user's behalf is high privilege; not declaring or requesting that explicitly is disproportionate. Templates also imply collection/submission of identity documents (IDs) in complaints, which is sensitive.
Persistence & Privilege
Although always:false, the skill directs the agent to create cron schedules for recurring scans and to perform autonomous automated reports via node browser control. Recurring automated actions that act through users' logged‑in sessions increase blast radius — especially combined with file writes (cases/) and messaging actions. The skill does not document safeguards (explicit confirmation prompts, audit logs, or easy disable).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install privacy-eraser
  3. After installation, invoke the skill by name or use /privacy-eraser
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.2.0
Add 微信公众号/小红书/抖音 platforms with templates and tips
v0.1.1
Add all templates and references
v0.1.0
Initial release
Metadata
Slug privacy-eraser
Version 0.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Privacy Eraser?

扫描网络个人信息,提供删除方案和投诉模板,支持自动举报和定期隐私监控,助力数字身份保护。 It is an AI Agent Skill for Claude Code / OpenClaw, with 368 downloads so far.

How do I install Privacy Eraser?

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

Is Privacy Eraser free?

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

Which platforms does Privacy Eraser support?

Privacy Eraser is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Privacy Eraser?

It is built and maintained by tykoo-eth (@tykoo-eth); the current version is v0.2.0.

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