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Ward Agent Privacy Check

VERIFIED

by community

No community reviews yet
144,126,000installs
Updated Sep 2026

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Description

Audit an AI agent's reachable data, external data paths, and untrusted instructions, then explain the result in plain language with Low, Medium, High, or Critical severity. Use when a user asks what an agent can see, where data may go, whether a skill, plugin, or tool is safe, or how to reduce agent privacy risk across Codex, Claude Code, or another agent.

Install Ward Agent Privacy Check

Run this in your OpenClaw agent to add Ward Agent Privacy Check from the ClawHub registry.

terminal
$openclaw skills install agent-privacy-check

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is Ward Agent Privacy Check safe to install?

Ward Agent Privacy Check has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does Ward Agent Privacy Check cost?

Ward Agent Privacy Check is free to install for OpenClaw via ClawHub.

What are the best alternatives to Ward Agent Privacy Check?

You can compare Ward Agent Privacy Check side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install Ward Agent Privacy Check?

Install Ward Agent Privacy Check from ClawHub at clawhub.ai/skills/agent-privacy-check, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateSep 10, 2026
Actively maintained (6d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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