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Misc Vulnerability Hunting

sickn33/agentic-awesome-skills

A comprehensive skill for identifying miscellaneous security vulnerabilities like access control failures, information disclosure, and misconfigurations. Based on 225 public bug bounty reports, it helps hunters target SaaS platforms, identity flows, and internal APIs to find high-value issues.

Race Condition Vulnerability Hunting

hunt-race-condition

sickn33/agentic-awesome-skills

A specialized security skill for identifying and exploiting race condition vulnerabilities in web applications. Focuses on synchronized request attacks, double-spending, and bypassing access controls. Requires explicit authorization and defensive guidance protocols before execution.

Discover SPA Hidden API Routes

sickn33/agentic-awesome-skills

Extract backend API routes from SPA JavaScript bundles to identify missing authentication or broken access control vulnerabilities. Test endpoints without credentials to find unauthenticated data exposure and security gaps in web applications.

Inngest Serverless Workflow Automation

sickn33/agentic-awesome-skills

Master Inngest for building serverless-first background jobs and event-driven workflows without managing queues or workers. Learn durable execution, automatic retries, concurrency control, and idempotency patterns. Ideal for Next.js, Express, and serverless platforms like Vercel and Cloudflare Workers.

Inter-Agent Communication Security Detection

inter-agent-comm-security-detection

Tencent/AI-Infra-Guard

Detects security risks in multi-agent systems such as data leakage, boundary violations, unencrypted channels, and privilege mismatches. Used when agents collaborate or share context to verify secure communication protocols and access controls.

ISO 27001 Compliance Implementation

iso27001-compliance

sickn33/agentic-awesome-skills

Implement an ISO/IEC 27001:2022 Information Security Management System: define ISMS scope, run asset-based risk assessments, build the Statement of Applicability, and deploy Annex A controls through the PDCA cycle.

Kubernetes Security Policies

k8s-security-policies

sickn33/agentic-awesome-skills

This skill provides a comprehensive guide for implementing security policies in Kubernetes clusters, including NetworkPolicy, PodSecurityPolicy, RBAC, and Pod Security Standards. It covers network segmentation, least-privilege access, compliance policies, and admission control to ensure defense-in-depth security for multi-tenant environments.

Linux System Administration

linux-administration

sickn33/agentic-awesome-skills

Master core Linux administration tasks including package management, process control, filesystem handling, and scheduling. Essential for managing production servers, troubleshooting system issues, and maintaining infrastructure across Debian and RHEL distributions.

LLM Application Security

llm-app-security

sickn33/agentic-awesome-skills

Secure LLM-powered applications against prompt injection, data leakage, and abuse using input validation, output controls, and tenant isolation. Implements OWASP LLM Top 10 mitigations with Python and Node.js examples.

Markstream Vue 2 Integration

markstream-vue2

sickn33/agentic-awesome-skills

Integrate markstream-vue2 into Vue 2.6 or 2.7 projects, covering Composition API choices, CSS imports, streaming state control, optional peer dependencies, and scoped style overrides for markdown rendering.

Controlled Maximalist Design System

sickn33/agentic-awesome-skills

A comprehensive design and implementation guide for achieving Controlled Maximalism. This style is ideal when the content is extremely dense, rich, and contains numerous elements, but requires an underlying highly structured, elegant, and curated presentation. Includes detailed CSS Grid, SwiftUI, Flutter, and React Native examples.

MDPR Presentation Workflow Review Skill

sickn33/agentic-awesome-skills

This skill functions as an optional agent companion for MDPR, a deterministic Markdown-to-presentation runtime. It helps review presentation workflows by providing semantic hints, visual evidence reports, and high-level layout intentions. Crucially, it keeps agent output evidence-based while letting MDPR maintain control over final slide geometry, rendering details, and layout coordinates.

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