Explorar skills

This skill should be used when the user asks about "vulnerability chains", "chained exploits", "multi-step attacks", "SSRF to RCE", "pivot attacks", or needs to identify how vulnerabilities in different components can be combined during whitebox security review.

Drive a single finding through CPG verification and false-positive triage.

Use quando o usuário deseja escrever ou publicar um artigo para uma Conta Oficial do WeChat. Esta skill ajuda a aprimorar rascunhos, gerar imagens de capa e explicação, ou preparar artigos para upload.

Create and publish a post on X, LinkedIn, or Reddit

Search for posts and content on X, LinkedIn, or Reddit; open YouTube search results via browser URL

After attempting to use a method from hive_pull, vote on whether it worked. This is how the collective knows what's reliable and what's broken.

Use when the user asks for Chrome cookies for a domain (especially amctheatres.com Queue-it sessions).

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or

Audit manuscript and replication package against FAIR open-science principles.

This skill should be used when the user asks about "threat model", "STRIDE", "data flow diagram", "attack surface", "threat analysis", "security architecture", "component threats", "trust boundaries", "technology decomposition", or needs systematic threat identification during whitebox security review.

Use when the user wants to promote their product, service, or project on social media without being spammy. Covers how to naturally mention products in replies, when promotion is appropriate, and platform-specific rules.

This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model deserialization", "unsafe model loading", "Jupyter injection", "LLM security", or needs to identify AI/ML-specific vulnerabilities in codebases that use machine learning frameworks.