prompt-injection
Audit applications for AI prompt injection, agent security, and LLM permission boundary vulnerabilities, including chatbots and agents hijacked by what they read: a malicious web page in a browsing agent, incoming emails, documents or tickets reaching an agent that can send replies, write files or call tools. Use when the user mentions 'prompt injection,' 'LLM security,' 'AI security,' 'jailbreak,' 'indirect prompt injection,' 'prompt leaking,' 'AI red team,' 'LLM vulnerabilities,' 'AI input validation,' 'system prompt extraction,' 'agent security,' 'MCP security,' 'AI permissions,' 'AI privilege escalation,' or needs to secure any application with AI features, AI agents, or LLM integrations.
94%
Does it follow best practices?
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Low
Low-risk findings worth noting
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The prompt-injection skill includes WebSearch in its allowed tools and guides agents to audit web pages and other external text sources.
- Repository
briiirussell/cybersecurity-skills
- Revision
c79bb8b
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.