How does it protect sensitive user data?

The skill mandates that tokens, cookies, and API keys are never logged and ensures browser data is only accessed via strict allowlists.

Can this skill be used for generic Python projects?

No, this is a domain-specific skill tailored specifically for the architecture and security requirements of the ai_usage_monitor repository.

Does it support both KDE and GNOME environments?

Yes, it specifically manages security parity and contract correctness between KDE Plasma 6 (QML) and GNOME Shell (GJS) implementations.

Which project areas does this skill monitor?

It activates when working within core providers, browser cookie handlers, CLI modules, and shared configurations of the ai_usage_monitor repository.

What is the primary purpose of the Security Hardening skill?

It enforces repository-specific security rules for the AI Usage Monitor to prevent secret leaks, command injections, and contract drift between KDE and GNOME interfaces.

Security Hardening for AI Usage Monitor

Name: Security Hardening for AI Usage Monitor
Author: ravidulundu

byravidulundu

0•

安全与测试

Strengthens the security posture of the AI Usage Monitor by enforcing strict data handling and secure communication protocols.

This skill provides domain-specific security guidance for the ai_usage_monitor project, ensuring robust protection against credential leaks and injection attacks. It enforces best practices across provider integrations, browser cookie handling, and desktop environment interactions (KDE/GNOME), maintaining a secure contract between the core logic and UI layers. By monitoring sensitive paths like providers and browser cookies, it prevents common vulnerabilities such as insecure logging, unvalidated external inputs, and unauthorized data access.

主要功能

01Automated secret and token redaction in logs and test outputs

02Validation of external response shapes to maintain state integrity

030 GitHub stars

04Strict allowlist-based browser database and cookie access control

05Enforcement of parameterized CLI calls to prevent shell injection

06Secure error message generation to prevent UI-level data leaks

使用场景

01Auditing provider integrations for potential API key or token exposure

02Hardening browser data collection paths for KDE Plasma and GNOME Shell

03Refactoring CLI interactions to eliminate dangerous shell-string concatenation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ravidulundu/ai_usage_monitor security-hardening

For use in Claude.ai and ChatGPT

主要功能

01Automated secret and token redaction in logs and test outputs

02Validation of external response shapes to maintain state integrity

030 GitHub stars

04Strict allowlist-based browser database and cookie access control

05Enforcement of parameterized CLI calls to prevent shell injection

06Secure error message generation to prevent UI-level data leaks

使用场景

01Auditing provider integrations for potential API key or token exposure

02Hardening browser data collection paths for KDE Plasma and GNOME Shell

03Refactoring CLI interactions to eliminate dangerous shell-string concatenation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ravidulundu/ai_usage_monitor security-hardening

For use in Claude.ai and ChatGPT