submit-work-feedback

Mask personal details in internal feedback submissions before sending.

13|3|Updated Mar 15, 2026

Search Tags:#feedback #compliance #privacy #masking #anonymity #internal-system

Ready to run

npx skills add https://github.com/Theodora-Y/MaskClaw --skill submit-work-feedback

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: submit-work-feedback
Source: https://github.com/Theodora-Y/MaskClaw/tree/main/user_skills/demo_UserC/submit-work-feedback/v1.0.0
Command: npx skills add https://github.com/Theodora-Y/MaskClaw --skill submit-work-feedback

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Masking colleague personal data in internal feedback submissions to prevent leakage of names and contact details.

Core Features & Use Cases

Masks sensitive fields such as names and contact details in internal feedback flows.
Supports anonymous and non-anonymous submissions while preserving policy compliance.
Use Case: Intranet feedback form, sensitive identifiers are automatically masked before submission.

Quick Start

Submit internal feedback and ensure masking is applied to protect colleague privacy.

Frequently Asked Questions about submit-work-feedback

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I mask coworker names and contact details in internal feedback submissions?▼

Data masking in internal feedback involves hiding sensitive personal details like names and contact information before submission. It uses a local rules engine to apply defined masking policies directly on the client device, preventing personal data leakage in both anonymous and non-anonymous workflows.

When do I need to apply data masking to an intranet feedback form?▼

You need to apply data masking to an intranet feedback form when submissions contain sensitive coworker identifiers. This is required for both anonymous and non-anonymous internal feedback workflows to ensure policy compliance and prevent personal data leakage within internal systems.

Does feedback masking work for anonymous and non-anonymous internal system workflows?▼

Yes, feedback masking works for both anonymous and non-anonymous internal system workflows. It processes submissions through a local rules engine that enforces defined masking rules, ensuring privacy and policy compliance regardless of the submission type.

What are the limitations of client-side masking rules for compliance?▼

Client-side masking rules operate locally on the device using a defined rules engine, meaning processing happens before data reaches internal systems. This approach prevents leakage but relies entirely on the local environment to enforce compliance policies during the feedback workflow.